System

Abstract

A system is provided.SOLUTION: A system comprising: means for obtaining visual data; means for obtaining audio data; means for pre-processing the visual and audio data; means for sending the pre-processed data to a server; means for analyzing the data to detect a particular cultural or religious taboo; means for sending the detection results to a terminal; and means for overlaying the detection results.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In today's globalized society, it is necessary to provide appropriate hospitality to guests with different cultural and religious backgrounds. It is particularly important to take into account cultural taboos and religious prohibitions. However, if you are not familiar with these, you may unconsciously behave inappropriately. This not only offends guests, but can also have a negative impact on business and personal relationships. The objective of this invention is to provide a system that avoids such risks and supports appropriate responses to guests with different cultural and religious backgrounds. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by the following means. First, a terminal is provided with a means for acquiring visual data and a means for acquiring audio data. The terminal is also provided with a means for preprocessing the acquired visual and audio data and transmitting the preprocessed data to a server. The server is provided with a means for analyzing the data and detecting specific cultural or religious taboos. The detection results are transmitted to the terminal and notified to the user using an overlay display means. This not only enables the user to take appropriate action in real time, but also prevents the user from unintentionally violating specific cultural or religious taboos in advance, enabling the user to provide appropriate hospitality to guests. The system is also provided with an algorithm for analyzing the visual and audio data, a means for integrating the results, a means for determining compatibility using specific cultural or religious information, and a means for generating warnings or advice based on the determination results. These means enable users to easily provide appropriate hospitality to guests from different cultures.

[0006] "Visual data" refers to image and video information acquired through the smart glasses' camera.

[0007] "Auditory data" refers to audio information acquired through the microphone of the smart glasses.

[0008] "Preprocessing" refers to processing such as noise removal and contrast adjustment that is performed on the acquired visual and auditory data.

[0009] The "server" is a central device for analyzing the data and detecting specific cultural or religious taboos.

[0010] "Analysis" is a means of determining the content of visual and auditory data by applying a certain algorithm to the data.

[0011] A "cultural taboo" is an action or offering that is to be avoided in a particular culture or society.

[0012] A "religious taboo" is an action or offering that is prohibited in a particular religion.

[0013] A "terminal" is a device that acquires visual and auditory data and communicates with a server.

[0014] "Overlay display" is a method of displaying analysis results superimposed on the terminal display.

[0015] An "algorithm" is a series of computational procedures for analyzing data and making decisions.

[0016] The "integrating means" is a means for assembling the results of the analysis of the visual data and the auditory data into a single entity.

[0017] "Means for determining suitability" refers to means for determining whether a particular action or offering is culturally or religiously acceptable based on the analysis results.

[0018] The "means for generating a warning or advice" refers to a means for generating information that prompts the user to take appropriate action based on the result of the conformance determination. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6]FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0020] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0021] First, the terms used in the following description will be explained.

[0022] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0023] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0024] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0025] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0026] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0027] [First embodiment]

[0028] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0029] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0030] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0031] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0032] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0033] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0034] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0035] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0037] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0038] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0039] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0040] This invention is a system called the "Intercultural Hospitality Checker" that supports people in taking appropriate actions based on their cultural background when hosting people from different cultures. The system uses smart glasses to acquire visual and auditory information, detects taboos in specific cultures or religions, and presents the results to the user.

[0041] 1. Data Collection

[0042] Device:

[0043] The smart glasses' camera is used to capture visual data in real time. The smart glasses' microphone is also used to capture auditory data such as environmental sounds and conversation content. This data undergoes pre-processing to remove noise and adjust image contrast. After pre-processing, the data is sent to a server.

[0044] 2. Data Analysis

[0045] server:

[0046] The server receives visual and auditory data sent from the device. It applies image recognition algorithms to the visual data to identify specific objects (e.g., food and drink) and scenes. It applies voice recognition algorithms to the auditory data to convert the content of conversations and keywords into text data. This allows the visual and auditory information to be analyzed.

[0047] After obtaining the analysis results, the server aggregates these results and determines whether the actions or items provided by the user violate certain cultural or religious taboos, such as not serving pork or alcohol to Muslims.

[0048] 3. Identifying Cultural Taboos

[0049] server:

[0050] Based on the analyzed visual and auditory data, the system determines suitability for guests with specific cultural or religious backgrounds, taking into account the cultural and religious information of the guest specified in advance by the user, such as "Halal certification required" or "Alcohol prohibited."

[0051] Based on the analysis results, the server detects cultural taboos and points of caution and generates a judgment result to inform the user.

[0052] 4. Notice to Users

[0053] Device:

[0054] The results are sent to the device and displayed as an overlay on the smartglasses display, allowing users to receive specific advice and warnings in real time.

[0055] User:

[0056] The user can check the results of the assessment through the smart glasses. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" will be displayed. The user can follow the displayed advice and warnings to provide appropriate hospitality to the guest.

[0057] Specific examples

[0058] Example 1: Checking Halal Certified Food

[0059] Device:

[0060] The user looks at the food they are about to serve through smart glasses, the camera captures visual data of the food, and the microphone captures conversations.

[0061] server:

[0062] The system analyzes the visual data of the food and determines whether it is Halal certified. It also checks the necessary keywords from the audio data. If the result is "This food is Halal certified," it sends that information to the device.

[0063] Device:

[0064] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[0065] User:

[0066] Check the displayed notice and serve food to guests with confidence.

[0067] Example 2: Serving alcohol

[0068] Device:

[0069] A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[0070] server:

[0071] The visual data of the wine bottle is analyzed to check for the keyword "wine." Based on the cultural and religious background of the guest, it is determined whether serving alcohol is prohibited. If the result is "This guest's religion prohibits alcohol," it is sent to the terminal.

[0072] Device:

[0073] A notification is overlaid on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[0074] User:

[0075] Check the notification and offer the guest an alternative non-alcoholic beverage.

[0076] As described above, this system assists users in providing appropriate hospitality to guests from different cultures through the acquisition and analysis of visual and auditory data, thereby minimizing the risk of violating cultural or religious taboos.

[0077] The processing flow will be explained below.

[0078] Step 1:

[0079] Device: The smart glasses' camera captures visual data in real time, capturing the objects and scenes the user is looking at and saving them as frames.

[0080] Step 2:

[0081] Device: The smart glasses' microphone collects auditory data in real time, capturing environmental sounds and conversations in real time and saving them as audio data.

[0082] Step 3:

[0083] Terminal: Preprocessing is performed on the acquired visual and auditory data. Specifically, noise filtering and contrast adjustment are performed on the visual data, and noise removal and volume adjustment are performed on the auditory data.

[0084] Step 4:

[0085] Terminal: Sends pre-processed data to the server using a secure communication protocol to prevent data loss or unauthorized access.

[0086] Step 5:

[0087] Server: Receives visual data sent from the device and temporarily stores it in storage, then applies image recognition algorithms to analyze the visual data and identify specific objects and scenes.

[0088] Step 6:

[0089] Server: Receives the audio data sent from the device and temporarily stores it in storage. It then applies a speech recognition algorithm to analyze the audio data and converts the audio content into text data.

[0090] Step 7:

[0091] Server: Combines the results of the analysis of visual and auditory data to determine whether the object or action the user is about to submit violates certain cultural or religious taboos.

[0092] Step 8:

[0093] Server: Uses decision logic to determine whether a particular action or offering is taboo, and refers to the guest's cultural and religious background information, if necessary.

[0094] Step 9:

[0095] Server: Generates the verdict and creates appropriate advice or warning messages, such as "This food is Halal certified" or "Do not serve alcohol to this guest."

[0096] Step 10:

[0097] Server: Sends the generated judgment results to the device, while paying attention to the safety and speed of communication.

[0098] Step 11:

[0099] Device: The judgment result received from the server is overlaid on the smartglasses display, and a message is displayed in an appropriate position so that the user can visually confirm it.

[0100] Step 12:

[0101] User: Check the overlay notification and take appropriate action, such as serving Halal-certified food or refraining from serving alcohol.

[0102] Example 1

[0103] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0104] When hosting people from different cultures, it is difficult to behave appropriately based on their cultural background. In particular, there is a risk of unconsciously violating religious taboos or cultural prohibitions, which could lead to trouble. To solve this problem, a system that provides accurate information in real time is needed.

[0105] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0106] In this invention, the server includes means for acquiring visual data, means for acquiring audio data, means for preprocessing the visual and audio data, means for transmitting the preprocessed data to the server, means for analyzing the data and detecting specific cultural or religious taboos, means for referencing cultural and religious information of guests designated in advance by the user, means for determining suitability for guests with specific cultural or religious backgrounds based on the analyzed visual and audio data, means for transmitting the detection results to the terminal, and means for overlaying and displaying the detection results, thereby enabling appropriate hospitality for guests from different cultures.

[0107] "Visual data" refers to image information acquired through a visual sensor such as a camera.

[0108] "Auditory data" refers to audio information acquired through an audio sensor such as a microphone.

[0109] "Preprocessing" refers to the process of performing initial processing such as noise removal and contrast adjustment on the acquired visual and auditory data.

[0110] "Server" refers to a centralized processing device that receives, analyzes, and determines visual and auditory data.

[0111] "Analysis" refers to the process of extracting meaningful information from visual and auditory data and applying algorithms to determine certain taboos and relevance.

[0112] A "cultural or religious taboo" is an action or object that is prohibited in a particular culture or religion.

[0113] The "user" is the person who operates the system and entertains guests from different cultures.

[0114] "Overlay display" refers to a method of displaying information superimposed on the screen of a display device such as smart glasses.

[0115] "Compatibility" refers to the criteria for assessing appropriateness to particular cultural or religious rules.

[0116] "Notification" refers to a message that informs the user of the analysis results or judgment results.

[0117] A "guest" is a person who is entertained by a user of the system.

[0118] This invention is a system called the "Intercultural Hospitality Checker" that supports people in taking appropriate actions based on their cultural background when hosting people from different cultures. The system uses smart glasses to acquire visual and auditory information, detects taboos in specific cultures or religions, and presents the results to the user.

[0119] The following hardware and software are required to implement this system. First, the smart glasses are equipped with a camera to acquire visual data and a microphone to acquire auditory data. Image data acquired from the camera and audio data acquired from the microphone are preprocessed on the device. Preprocessing includes, for example, noise removal and image contrast adjustment using the OpenCV library. Audio filtering technology is used to preprocess the auditory data.

[0120] Once preprocessed, the data is sent from the device to the server. This communication uses the HTTPS protocol to ensure security. The server applies image recognition algorithms to the received visual data, using TensorFlow or Google Cloud Vision API, for example, to identify objects such as food and drinks and scenes. At the same time, it performs speech recognition on the auditory data using the Google Speech-to-Text API or similar, converting the conversation into text data.

[0121] The server determines suitability for guests with specific cultural or religious backgrounds based on the analyzed visual and auditory data, referring to the cultural and religious information of the guest specified in advance by the user, such as "halal certification required" or "alcohol prohibited." Based on the analysis results, the server detects specific cultural taboos and points of caution and generates a result.

[0122] The results are then sent back to the device and displayed as an overlay on the smart glasses display. This allows users to receive specific advice and warnings in real time. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" can be displayed. Users can review these and take appropriate action.

[0123] Specific examples

[0124] Example 1: Checking Halal Certified Food

[0125] Device: The user looks at the food they are about to serve (e.g., a kebab) through smart glasses. The camera captures visual data of the food, and the microphone collects conversations.

[0126] Server: Analyzes visual data to determine whether the food is Halal certified. Also checks for the keyword "Halal" in the audio data. If the result is "This food is Halal certified," it sends that information to the device.

[0127] On the device: A notification will be overlaid on the smartglasses display informing the user that "This food is Halal certified."

[0128] User: Check the notification and serve food to guests with confidence.

[0129] Example 2: Serving alcohol

[0130] Device: A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone collects the word "wine."

[0131] Server: Analyzes visual data and recognizes the keyword "wine." Determines whether serving alcohol is prohibited based on the guest's cultural and religious background. If the result is "This guest's religion prohibits alcohol," it sends that information to the device.

[0132] Device: A notification overlay appears on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[0133] User: Confirm the notification and offer the guest a non-alcoholic beverage instead.

[0134] Prompt Sentence Examples

[0135] "What is the process for ensuring that guests from a certain country are not subject to cultural taboos when it comes to food and drink?"

[0136] As described above, this system helps users provide appropriate hospitality to guests from different cultures by capturing and analyzing visual and auditory data, minimizing the risk of violating cultural or religious taboos.

[0137] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0138] Step 1:

[0139] Data collection

[0140] Device: The smart glasses' camera captures visual data, while the microphone simultaneously captures auditory data. Specifically, the camera captures images of the food or drink the guest is about to eat, and the microphone collects their conversation.

[0141] Input: visual data of food and drink, auditory data of conversation

[0142] Output: Image data captured by the camera, audio data collected by the microphone

[0143] Step 2:

[0144] Data Preprocessing

[0145] On the device: The acquired visual data contains noise, so we use image processing algorithms to remove it. Specifically, we use the OpenCV library to adjust the contrast of the image and detect edges. We also apply noise filtering to the auditory data to remove background sounds.

[0146] Input: Image data captured by a camera, audio data collected by a microphone

[0147] Output: Noise-removed image data, noise-filtered audio data

[0148] Step 3:

[0149] Sending data

[0150] Terminal: The pre-processed data is sent to the server using a secure communication protocol (e.g., HTTPS) to ensure the safety of the data.

[0151] Input: Noise-removed image data, noise-filtered audio data

[0152] Output: Data sent to the server

[0153] Step 4:

[0154] Data analysis

[0155] Server: Apply image recognition algorithms (e.g., TensorFlow or Google Cloud Vision API) to the received visual data to recognize specific objects and scenes, such as identifying food, drink, or religious symbols. At the same time, apply speech recognition algorithms (e.g., Google Speech-to-Text API) to the auditory data to convert the audio into text data.

[0156] Input: Data sent to the server

[0157] Output: Analyzed objects and scenes, audio data converted to text

[0158] Step 5:

[0159] Determining cultural taboos

[0160] Server: Based on the analysis results, the server determines suitability based on the guest's cultural or religious background. For example, it checks whether the restaurant serves pork or alcohol to Muslims. In this case, it refers to the guest's cultural and religious information specified in advance by the user.

[0161] Specifically, the server compares the analyzed data and determines whether any relevant cultural or religious taboos exist.

[0162] Input: Analyzed objects and scenes, cultural and religious information of guests

[0163] Output: Cultural taboo judgment result

[0164] Step 6:

[0165] User Notification

[0166] Server: Sends the result of the judgment to the terminal. This process also uses a secure communication protocol (e.g., HTTPS).

[0167] Input: Cultural taboo judgment results

[0168] Output: Verification result sent to the terminal

[0169] Device: The result of the assessment is displayed as an overlay on the smart glasses display, specifically visually displaying messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest."

[0170] Input: Verification result sent from the server

[0171] Output: Overlaid notification

[0172] User: Review notifications on smart glasses and take culturally appropriate actions to accommodate guests, including adjusting food and beverage offerings based on advice and warnings.

[0173] Input: Overlaid notification

[0174] Output: Adjust your actions appropriately and provide the service to your guests.

[0175] (Application example 1)

[0176] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0177] In order to provide appropriate hospitality to customers of different cultures, store staff need to be able to understand cultural taboos and prohibitions in real time, but current methods make it difficult to do this quickly and accurately. Furthermore, it is difficult to efficiently collect information about diverse cultures and religions and provide practical advice. This often results in inadequate cross-cultural response, creating a high risk of damaging customer satisfaction.

[0178] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0179] In this invention, the server includes a means for transmitting visual and auditory data to the server, a means for analyzing the data to determine the cultural background of the customer, and a means for detecting taboos in specific cultures or religions and notifying the user of them, thereby enabling prompt and appropriate responses to customers from different cultures.

[0180] "Visual Data" refers to image or video information captured through the camera of the smart glasses.

[0181] "Auditory data" refers to information about voice and environmental sounds acquired through the microphone in smart glasses.

[0182] "Preprocessing" refers to the process of removing noise and filtering the acquired visual and auditory data.

[0183] "Server" refers to a computer system for receiving and analyzing the acquired visual and auditory data.

[0184] "Analysis" refers to the process of performing image recognition from visual data and speech recognition from auditory data to make specific cultural or religious judgments.

[0185] "Cultural background" refers to the totality of customs, practices, beliefs, etc. based on a particular region or religion.

[0186] A "taboo" is an action or thing that is forbidden in a particular culture or religion.

[0187] "Notification" refers to presenting warnings and advice to users based on the analysis results.

[0188] "Device" means a device worn or used by a user, such as smart glasses or a smartphone.

[0189] "Overlay display" refers to a technology that displays other visual information superimposed on the smart glasses display.

[0190] A "generative AI model" is a machine learning algorithm that is trained to perform a specific task based on large amounts of data.

[0191] A "prompt sentence" is an input sentence that causes a generative AI model to generate specific information.

[0192] "Integration" refers to the process of combining the results of visual data analysis and the results of auditory data analysis into a single criterion.

[0193] A "warning" is a message displayed to alert the user.

[0194] "Advice" means advice provided to a User for appropriate action.

[0195] This invention is a system that allows store staff wearing smart glasses to understand cultural taboos and prohibitions in real time in order to provide appropriate hospitality to customers from different cultures. The system provides specific advice and warnings to users through the acquisition and analysis of visual and auditory data.

[0196] Hardware and software used

[0197] Hardware:

[0198] Smart glasses (with built-in camera and microphone)

[0199] Server (for data processing)

[0200] software:

[0201] OpenCV: Used to acquire and preprocess visual data.

[0202] SpeechRecognition library: Used to acquire and analyze auditory data.

[0203] googletrans library: Used to translate auditory data.

[0204] requests library: Used to communicate with the server.

[0205] System processing overview

[0206] Data collection

[0207] Using smart glasses as a terminal, visual and auditory data is acquired in real time through a camera and microphone, and in this step, interactions and actions of customers and staff are recorded in a real store environment.

[0208] Data Preprocessing and Transmission

[0209] The visual and auditory data acquired at the terminal undergoes noise removal and necessary pre-processing, after which the pre-processed data is sent to the server.

[0210] Data analysis and judgment

[0211] The server analyzes the received visual and auditory data, applying image recognition algorithms to the visual data to identify specific objects and scenes, and speech recognition algorithms to the auditory data to convert the conversation into text. The results of the analysis are then combined to determine the customer's cultural background and detect any taboos or prohibitions within a particular culture or religion.

[0212] User Notification

[0213] The results and advice generated by the server are sent to the device and displayed as an overlay on the smartglasses display, allowing the staff user to obtain the necessary information in real time and provide appropriate hospitality to customers from different cultures.

[0214] Specific examples

[0215] Example 1: Taboos to be aware of when a customer is from Saudi Arabia and looking for traditional cuisine

[0216] A user uses smart glasses to capture a customer's voice and text, saying, "Hi, I'm from Saudi Arabia and I am looking for some traditional food." The server analyzes the visual and auditory data and notifies customers of Saudi Arabian culture not to serve pork or alcohol. Specific notifications are displayed on the smart glasses, such as "Do not serve pork to this customer" and "Do not serve alcoholic beverages to this customer."

[0217] This system allows users to respond quickly and accurately to customers from different cultures. An example of a specific prompt is, "When a customer says, 'I'm from Saudi Arabia and I'm looking for traditional food,' I will inform the store staff of the cultural taboos they should be aware of."

[0218] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0219] Step 1:

[0220] The smart glasses, which function as the terminal, capture visual and auditory data in real time through a camera and microphone. This data includes conversations and actions between customers and staff, as well as surrounding environmental sounds. Visual data input is images or videos, and auditory data input is audio. This data is the starting point for the system's processing.

[0221] Step 2:

[0222] The device preprocesses the acquired visual and auditory data. First, for the visual data, OpenCV is used to remove noise from the image and adjust the contrast. For the auditory data, the SpeechRecognition library is used to remove noise from the audio data. After preprocessing, the visual data becomes high-quality image data, and the auditory data becomes low-noise audio data. These preprocessed data are then sent to the next step.

[0223] Step 3:

[0224] The preprocessed visual and auditory data are sent by the terminal to a server, which receives these data and prepares them for subsequent analysis, where the input is the preprocessed visual and auditory data and the output is the data sent to the server.

[0225] Step 4:

[0226] The server applies image recognition algorithms to the received visual data to identify specific objects or scenes. For example, object recognition technology is used to identify the type of food or drink a customer is pointing at. The input is the preprocessed visual data, and the output is specific text data of the recognized object or scene.

[0227] Step 5:

[0228] The server applies a speech recognition algorithm to the received audio data and converts the audio to text data. It uses the SpeechRecognition library to convert the audio to text and optionally translates it using the googletrans library. The input is the preprocessed audio data and the output is the parsed text data.

[0229] Step 6:

[0230] The server integrates the analyzed visual and auditory data to determine the customer's cultural background. Specifically, it matches the results of the visual data analysis with the results of the auditory data analysis to reference information about specific cultures and religions. With this integration step, the input is the analyzed visual and auditory data, and the output is a determination of the customer's cultural background.

[0231] Step 7:

[0232] The server uses the integrated analysis results to detect taboos in specific cultures and religions, and generates specific warnings and advice, such as "Do not serve pork or alcohol to Muslims." The input is the judgment result about the customer's cultural background, and the output is objective text data of warnings and advice.

[0233] Step 8:

[0234] The server sends the generated warnings and advice to the device. The notifications are overlaid on the smartglasses display and provided to the user in real time. The input here is the text data of the warnings and advice, and the output is the transmission result to the device and the notification to the user.

[0235] Step 9:

[0236] The user, a store staff member, checks the notification displayed on the smart glasses and takes appropriate hospitality action. For example, providing food that requires halal certification or alcohol-free beverages. The input is the notification overlay, and the output is the appropriate hospitality action.

[0237] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0238] This invention relates to the "Intercultural Hospitality Checker," a system that takes into account the user's emotions and responds appropriately when entertaining guests from different cultures while avoiding cultural and religious taboos. This system uses smart glasses to acquire visual and auditory data, analyzes that information to detect cultural taboos, and combines it with an emotion engine that analyzes the user's emotional state.

[0239] 1. Data Collection

[0240] Device:

[0241] Visual data is acquired in real time using the smart glasses' camera. Auditory data, such as environmental sounds and conversation content, is also acquired using the smart glasses' microphone. The acquired data undergoes preprocessing, including noise removal and contrast adjustment. After preprocessing, the data is sent to the server.

[0242] 2. Data Analysis

[0243] server:

[0244] The server receives visual and auditory data sent from the device, applies image recognition algorithms to the visual data to identify specific objects and scenes, and applies speech recognition algorithms to the auditory data to convert it into text data. The results of the analyzed visual and auditory data are combined to determine whether the actions or objects provided by the user violate certain cultural or religious taboos.

[0245] 3. Emotion Recognition by Emotion Engine

[0246] server:

[0247] The server further analyzes the user's emotional state from the visual and auditory data using an emotion engine, which uses facial expression analysis algorithms and tone of voice analysis algorithms to identify the user's emotions (e.g., joy, anger, sadness, surprise, etc.).

[0248] 4. Identifying cultural taboos and regulating emotions

[0249] server:

[0250] The server then uses the analysis results to determine cultural or religious taboos, taking into account the user's emotional state. Additionally, if the user is feeling stressed, the server adjusts the content and timing of warnings and advice. For example, if the user is confused, the server displays a simple message.

[0251] 5. Notice to Users

[0252] Device:

[0253] The results are sent to the device and displayed as an overlay on the smartglasses display, allowing users to receive specific advice and warnings in real time.

[0254] User:

[0255] The user can check the results of the assessment and the emotion engine's analysis via the smart glasses. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" will be displayed. By following the displayed advice and warnings, the user can provide appropriate hospitality to the guest.

[0256] Specific examples

[0257] Example 1: Checking Halal Certified Food

[0258] Device:

[0259] The user looks at the food they are about to serve through smart glasses, the camera captures visual data of the food, and the microphone captures conversations.

[0260] server:

[0261] It analyzes the visual data of food to determine whether it is Halal certified. It also uses an emotion engine to analyze the user's facial expressions and tone of voice to determine their emotional state. If the result is "This food is Halal certified" and the user feels reassured, it sends the result to the device.

[0262] Device:

[0263] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[0264] User:

[0265] Check the displayed notice and serve food to guests with confidence.

[0266] Example 2: Serving alcohol

[0267] Device:

[0268] A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[0269] server:

[0270] The system analyzes the visual and audio data of the wine bottle to determine whether serving alcohol is prohibited based on the guest's cultural and religious background. It also uses an emotion engine to analyze the user's emotional state. If the result is "Alcohol is prohibited by this guest's religion" and the user is unsure, it displays simple advice.

[0271] Device:

[0272] A notification is overlaid on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[0273] User:

[0274] Check the notification and offer the guest an alternative non-alcoholic beverage.

[0275] As described above, this system uses visual and auditory data and an emotion engine to analyze and assist users in providing appropriate hospitality to guests from different cultures. This system minimizes the risk of violating cultural or religious taboos and allows for flexible responses based on the user's emotional state.

[0276] The processing flow will be explained below.

[0277] Step 1:

[0278] Device: The smart glasses' camera captures visual data in real time, capturing the objects and scenes the user is looking at and saving them as frames.

[0279] Step 2:

[0280] Device: The smart glasses' microphone collects auditory data in real time, capturing environmental sounds and conversations in real time and saving them as audio data.

[0281] Step 3:

[0282] Terminal: Preprocessing is performed on the acquired visual and auditory data. Specifically, noise filtering and contrast adjustment are performed on the visual data, and noise removal and volume adjustment are performed on the auditory data.

[0283] Step 4:

[0284] Terminal: Sends pre-processed data to the server using a secure communication protocol to prevent data loss or unauthorized access.

[0285] Step 5:

[0286] Server: Receives visual data sent from the device and temporarily stores it in storage, then applies image recognition algorithms to analyze the visual data and identify specific objects and scenes.

[0287] Step 6:

[0288] Server: Receives the audio data sent from the device and temporarily stores it in storage. It then applies a speech recognition algorithm to analyze the audio data and converts the audio content into text data.

[0289] Step 7:

[0290] Server: Combines the results of the visual and auditory analysis and uses the combined data to determine whether the object or action the user is about to submit violates certain cultural or religious taboos.

[0291] Step 8:

[0292] Server: Applying an emotion engine that analyzes the user's facial expressions and tone of voice based on visual and auditory data, specifically using facial expression analysis algorithms and tone of voice analysis algorithms to identify the user's emotions (e.g., joy, anger, sadness, surprise, etc.).

[0293] Step 9:

[0294] Server: Integrates the analysis results of the emotion engine to determine cultural or religious taboos that take into account the user's emotional state. For example, if the user is confused, it generates a more concise message.

[0295] Step 10:

[0296] Server: Uses decision logic to determine whether a particular action or offering violates cultural or religious taboos, and refers to the guest's cultural and religious background information, if necessary.

[0297] Step 11:

[0298] Server: Generates the verdict and creates an advice or warning message, for example, "This food is Halal certified" or "Do not serve alcohol to this guest."

[0299] Step 12:

[0300] Server: Sends the generated judgment results to the device, while paying attention to the safety and speed of communication.

[0301] Step 13:

[0302] Device: The judgment result received from the server is overlaid on the smartglasses display, and a message is displayed in an appropriate position so that the user can visually confirm it.

[0303] Step 14:

[0304] User: Check the overlay notification and take appropriate action, such as serving Halal-certified food or refraining from serving alcohol.

[0305] Example 2

[0306] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0307] When entertaining guests from different cultures, it is necessary to provide real-time advice and warnings that take into account the user's emotions while avoiding cultural and religious taboos. However, while existing systems focus on detecting taboos, they do not provide sufficient flexibility to take into account the user's emotional state. This poses a challenge in providing insufficient support for users to provide appropriate hospitality to guests.

[0308] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0309] In this invention, the server includes means for acquiring visual data, means for acquiring audio data, means for preprocessing the visual and audio data, means for transmitting the preprocessed data to the server, means for analyzing the data and detecting specific cultural or religious taboos, means for analyzing the user's emotional state using an emotion analysis engine, means for generating a warning or advice based on the analysis results, means for transmitting the warning or advice to the terminal, and means for overlaying the transmitted warning or advice, thereby enabling not only avoidance of cultural and religious taboos but also flexible responses according to the user's emotions.

[0310] "Visual data" refers to images and video information acquired using smart glasses, cameras, etc.

[0311] "Auditory data" refers to voice and environmental sounds acquired through a microphone or the like.

[0312] "Preprocessing" refers to performing initial processing such as noise removal and contrast adjustment on acquired data.

[0313] A "server" is a central processing system that receives data sent from a terminal and analyzes and processes it.

[0314] "Analysis" is the process of using algorithms and models to interpret acquired data and turn it into meaningful information.

[0315] A "cultural taboo" is an act or thing that is not permitted in a particular culture or religion.

[0316] An "emotion analysis engine" is an algorithm or software that analyzes visual and auditory data to identify a user's emotional state.

[0317] A "warning" is a notification or message that alerts the user.

[0318] "Advice" is advice or a recommendation for the user to take appropriate action.

[0319] "Overlay display" is a method of displaying information superimposed on the smart glasses display.

[0320] "Conformity" refers to the criteria for determining whether an action or thing is acceptable based on particular cultural or religious standards.

[0321] This invention relates to a system called "Intercultural Hospitality Checker" that takes into consideration the user's feelings and responds appropriately when entertaining guests from different cultures while avoiding cultural and religious taboos. An embodiment of the invention will be described below.

[0322] Data collection

[0323] Device:

[0324] The user wears smart glasses and uses them to capture visual and auditory data in real time. Visual data is captured through the smart glasses' camera, and auditory data is captured through the smart glasses' microphone. For example, when a user looks at a particular food item or starts a conversation with a guest, the smart glasses capture these scenes and sounds.

[0325] Data Preprocessing

[0326] Device:

[0327] The acquired visual and auditory data are then subjected to pre-processing such as noise reduction and contrast adjustment. The visual data is contrast adjusted to improve image clarity, while the auditory data is filtered to remove background noise.

[0328] Data transmission

[0329] Device:

[0330] Once pre-processed, the visual and auditory data is sent to the server in real time. This process is continuous, meaning that data is constantly being sent to the server while the user is using the device.

[0331] Image and Audio Analysis

[0332] server:

[0333] The server receives and analyzes the visual and auditory data sent from the device. It applies image recognition algorithms (e.g., YOLO, ResNet) to identify specific objects and scenes, and uses speech recognition algorithms (e.g., Google Cloud Speech-to-Text API) to convert the audio data into text. For example, it can identify the "Halal Certified" mark in a photo of a food package or convert the guest's speech into text.

[0334] Emotion analysis

[0335] server:

[0336] The server uses an emotion analysis engine (e.g., Microsoft Azure Emotion API) to analyze the user's emotional state from visual and auditory data, thereby identifying the user's emotions, such as joy, surprise, or stress.

[0337] Determining cultural taboos

[0338] server:

[0339] The server combines the results of image and audio analysis with sentiment analysis to determine specific cultural or religious taboos, such as whether a particular food item is Halal certified or whether a guest's religion prohibits alcohol.

[0340] User Notification

[0341] Device:

[0342] The server receives the results and advice, which are then overlaid on the smartglasses display, allowing users to receive specific advice and warnings in real time, such as a message saying, "This food is not Halal certified."

[0343] User:

[0344] Users can check the results of the assessment and emotion analysis sent through the smart glasses and follow the advice and warnings provided to them to provide appropriate hospitality to their guests. For example, if they receive a notification that alcohol is not permitted, they can serve non-alcoholic drinks.

[0345] Specific examples

[0346] Example 1: Checking Halal Certified Food

[0347] Device:

[0348] The smart glasses take a picture of the food the user is about to serve, and the camera captures visual data of the food, while the microphone records the conversation.

[0349] server:

[0350] The server analyzes the visual data of the food to determine whether it is Halal certified. It also uses an emotion analysis engine to analyze the user's facial expressions and tone of voice to determine the user's emotional state. If the result is "This food is Halal certified" and the user is satisfied, the result is sent to the device.

[0351] Device:

[0352] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[0353] User:

[0354] Check the displayed notice and serve food to guests with confidence.

[0355] Example 2: Serving alcohol

[0356] Device:

[0357] A user wants to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[0358] server:

[0359] The server analyzes the visual and audio data of the wine bottle to determine whether serving alcohol is prohibited based on the guest's cultural and religious background. It also analyzes the user's emotional state using a sentiment analysis engine. If the result is "Alcohol is prohibited by this guest's religion" and the user is unsure, it displays a brief advice.

[0360] Device:

[0361] A notification is overlaid on the smartglasses display, informing the user, "This guest's religion prohibits alcohol."

[0362] User:

[0363] Check the notification and offer the guest an alternative non-alcoholic beverage.

[0364] As described above, this system uses visual and auditory data and an emotion analysis engine to assist users in providing appropriate hospitality to guests from different cultures. This system minimizes the risk of violating cultural or religious taboos and allows for flexible responses based on the user's emotional state.

[0365] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0366] Step 1:

[0367] Data collection

[0368] Device:

[0369] Once the user puts on the smart glasses, visual and auditory data collection begins. Visual data is acquired in real time through the smart glasses' camera, and auditory data is acquired through the smart glasses' microphone. For example, when the user looks at food or initiates a conversation, these data are captured.

[0370] input:

[0371] The food and surroundings the user is looking at.

[0372] output:

[0373] Image data captured by the camera and audio data recorded by the microphone.

[0374] Specific behavior:

[0375] The camera continuously captures images and the microphone records audio.

[0376] Step 2:

[0377] Data Preprocessing

[0378] Device:

[0379] The acquired visual and auditory data are preprocessed using noise reduction and contrast adjustment. The visual data is contrast adjusted to improve image clarity, and the auditory data is filtered to remove background noise.

[0380] input:

[0381] The raw image and audio data captured.

[0382] output:

[0383] Processed data with noise removal and contrast adjustment.

[0384] Specific behavior:

[0385] Image processing algorithms are used to adjust image contrast and remove noise, and audio processing algorithms are used to remove environmental sounds.

[0386] Step 3:

[0387] Data transmission

[0388] Device:

[0389] The pre-processed visual and auditory data is then sent to a server in real time, and this process continues while the user is using the device.

[0390] input:

[0391] Preprocessed visual and auditory data.

[0392] output:

[0393] Preprocessed data sent to the server.

[0394] Specific behavior:

[0395] The data packets are sent over the Internet to a server.

[0396] Step 4:

[0397] Image and Audio Analysis

[0398] server:

[0399] The server receives the visual and auditory data sent from the device, uses image recognition algorithms to identify specific objects and scenes, and uses speech recognition algorithms to convert the audio into text data.

[0400] input:

[0401] Preprocessed visual and auditory data sent to the server.

[0402] output:

[0403] Text data as a result of image analysis and speech recognition.

[0404] Specific behavior:

[0405] The visual data is analyzed with image recognition algorithms to identify specific objects and scenes, while the auditory data is analyzed with speech recognition algorithms and converted into text data.

[0406] Step 5:

[0407] Emotion analysis

[0408] server:

[0409] The server uses the acquired visual and auditory data to run an emotion analysis engine to analyze the user's emotional state, including facial expression analysis and tone of voice analysis.

[0410] input:

[0411] Preprocessed and analyzed visual and auditory data.

[0412] output:

[0413] Identification of the user's emotional state.

[0414] Specific behavior:

[0415] Facial expression recognition algorithms are used to analyze the user's facial expressions, and tone of voice analysis algorithms are used to identify emotions.

[0416] Step 6:

[0417] Determining cultural taboos

[0418] server:

[0419] The results of image and audio analysis are used to determine certain cultural or religious taboos, including taking into account the user's emotional state.

[0420] input:

[0421] Image and audio analysis results and user sentiment analysis results.

[0422] output:

[0423] The results of determining cultural or religious taboos.

[0424] Specific behavior:

[0425] Based on specific criteria, the analysis results and emotional state are combined to determine whether or not a taboo exists.

[0426] Step 7:

[0427] User Notification

[0428] Device:

[0429] The system receives the judgment results and advice sent from the server and overlays them on the smart glasses display, notifying the user in real time.

[0430] input:

[0431] The results of the cultural taboo judgment and advice sent from the server.

[0432] output:

[0433] A notification message displayed on the smart glasses display.

[0434] Specific behavior:

[0435] Messages such as "This food is not halal certified" and "Do not serve alcohol to this guest" will appear on the smart glasses.

[0436] The user can check the results of the assessment and the analysis of the emotion engine through the smart glasses and take appropriate action to treat the guest, for example, by following instructions to avoid non-halal food or by offering non-alcoholic beverages.

[0437] (Application example 2)

[0438] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0439] Modern brick-and-mortar stores are required to provide appropriate customer service to customers of different cultures and religions. However, it is extremely difficult to understand cultural and religious taboos and grasp the emotional state of customers while providing service. This creates the risk of providing incorrect products or services, or causing customer dissatisfaction or confusion. Furthermore, there is also the issue of increased workloads for staff, which can prevent them from concentrating on their primary customer service duties.

[0440] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing visual data and auditory data to detect specific cultural or religious taboos, means for acquiring and analyzing emotional states, and means for recommending appropriate products and services to users based on the analysis results. This enables flexible and accurate customer service in brick-and-mortar stores that responds to customers' emotional states while avoiding cultural and religious taboos.

[0441] "Visual data" refers to video information captured in real time using visual sensors such as cameras in smart glasses.

[0442] "Auditory data" refers to information about speech and environmental sounds acquired through the microphone in smart glasses or other audio input devices.

[0443] "Preprocessing" refers to the process of performing initial processing such as noise removal and contrast adjustment on the acquired visual and auditory data.

[0444] The "server" is a central processing unit that analyzes the acquired data and manages the results.

[0445] A "cultural taboo" is an act that is considered forbidden or something that should be avoided in a particular cultural sphere.

[0446] A "religious taboo" is an act or thing that is forbidden in a particular religion.

[0447] "Emotional state" refers to a psychological state such as joy, anger, sadness, or surprise that is analyzed from the user's facial expression and tone of voice.

[0448] "Recommendation" means presenting appropriate products and services to users based on the analysis results.

[0449] "Overlay display" is a technology that displays information superimposed on the field of view of smart glasses.

[0450] "Analysis Algorithms" refers to the mathematical and statistical methods used to analyze the visual and auditory data.

[0451] A "warning" is information that alerts users when an action they are about to take is culturally or religiously inappropriate.

[0452] "Advice" is information that indicates appropriate actions or options that a user should take.

[0453] This invention is designed to assist customers in brick-and-mortar stores. The system uses smart glasses to capture real-time visual and auditory data, analyzes the data to detect cultural and religious taboos, and recommends appropriate products and services while taking into account the user's emotional state.

[0454] The server uses multiple data acquisition and analysis methods to provide highly accurate information.

[0455] First, the following hardware is used:

[0456] Smart glasses (e.g. Google Glass)

[0457] Camera and microphone built into smart glasses

[0458] The following software is used:

[0459] Image processing library (e.g. OpenCV)

[0460] Pre-trained models (e.g., object recognition models using TensorFlow)

[0461] Speech recognition engine (e.g. Google Cloud Speech-to-Text)

[0462] Emotion analysis API (e.g. EmotionAPI)

[0463] When a user wears the smart glasses, visual and auditory data are collected in real time. The collected data is first preprocessed. Visual data is converted to grayscale using OpenCV, and noise is removed and contrast is adjusted. Auditory data is converted to text using a speech recognition engine.

[0464] The server receives the acquired and preprocessed data, applies object recognition algorithms using TensorFlow to the visual data to identify specific objects and scenes, and applies sentiment analysis APIs to the auditory data to analyze the user's emotional state from their tone of voice and word choice.

[0465] The analysis results are integrated to determine whether taboos exist based on cultural and religious backgrounds, and the emotional state is taken into account when recommending appropriate products and services. For example, if the system determines that a user is confused, it will provide concise and clear advice.

[0466] This allows users to always provide appropriate customer service and avoid providing incorrect products or services. For example, it can recommend meat-free menu items to vegetarian customers, avoiding cultural and religious taboos.

[0467] For example, you might use the following prompt:

[0468] "Use the Cross-Cultural Hospitality Checker to show your system how to accommodate vegetarian customers."

[0469] In this way, the present invention is a system that provides customer service support that takes into account the emotional state of the user while avoiding cross-cultural and cross-religious taboos, based on the acquisition and analysis of visual and auditory data.

[0470] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0471] Step 1:

[0472] The user puts on the smart glasses and begins acquiring visual and auditory data. The camera built into the smart glasses acquires images of the environment (visual data) in real time, and the microphone captures audio (auditory data). The acquired visual data is the video stream from the camera, and the auditory data is audio waveform data.

[0473] Step 2:

[0474] Preprocessing is performed on the device. Visual data is converted to grayscale using OpenCV, and image noise is removed and contrast is adjusted. This improves image quality and increases analysis accuracy. Auditory data is converted to text using a speech recognition engine. This conversion processes the audio data into a format (text data) suitable for analysis.

[0475] Step 3:

[0476] The preprocessed visual and auditory data is sent to a server. The device uploads the data to the server via the internet and prepares it for analysis. The sent data includes noise-removed image data and text-converted audio data.

[0477] Step 4:

[0478] The server analyzes the transmitted data. It applies object recognition algorithms using TensorFlow to the visual data to identify specific objects and scenes. For example, it identifies food and beverages in the visual data. It also applies an emotion analysis API to the auditory data to analyze the emotional state from the resulting text. Analysis includes facial expression analysis and tone analysis of the voice.

[0479] Step 5:

[0480] The server integrates the analysis results. It combines the object recognition results from the visual data and the emotion analysis results from the auditory data to generate a single comprehensive analysis result. For example, it determines whether a particular food item is halal or whether the customer is confused.

[0481] Step 6:

[0482] Based on the analysis results, the server determines certain cultural or religious taboos and recommends appropriate products and services to the user. It also generates warnings and advice based on the analysis results, such as "This food is Halal certified" or "Do not serve alcohol to this guest."

[0483] Step 7:

[0484] The generated analysis results and recommendations are sent to the device. The server then sends the analysis results and warning / advice messages to the device in real time, preparing them for delivery to the user.

[0485] Step 8:

[0486] The analysis results are overlaid on the device, and the analysis results and warning messages sent are overlaid on the smart glasses display, allowing users to receive specific advice and warnings in real time and take appropriate action.

[0487] Step 9:

[0488] Users can check the displayed analysis results and warnings / advice and adjust their actions accordingly. For example, by following the displayed messages, users can provide halal-certified food and avoid serving alcohol, thereby providing appropriate hospitality to customers from different cultures.

[0489] The above is the specific processing flow of the system that realizes this application example.

[0490] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0491] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0492] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0493] [Second embodiment]

[0494] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0495] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0496] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0497] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0498] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0499] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0500] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0501] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0502] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0503] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0504] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0505] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0506] This invention is a system called the "Intercultural Hospitality Checker" that supports people in taking appropriate actions based on their cultural background when hosting people from different cultures. The system uses smart glasses to acquire visual and auditory information, detects taboos in specific cultures or religions, and presents the results to the user.

[0507] 1. Data Collection

[0508] Device:

[0509] The smart glasses' camera is used to capture visual data in real time. The smart glasses' microphone is also used to capture auditory data such as environmental sounds and conversation content. This data undergoes pre-processing to remove noise and adjust image contrast. After pre-processing, the data is sent to a server.

[0510] 2. Data Analysis

[0511] server:

[0512] The server receives visual and auditory data sent from the device. It applies image recognition algorithms to the visual data to identify specific objects (e.g., food and drink) and scenes. It applies voice recognition algorithms to the auditory data to convert the content of conversations and keywords into text data. This allows the visual and auditory information to be analyzed.

[0513] After obtaining the analysis results, the server aggregates these results and determines whether the actions or items provided by the user violate certain cultural or religious taboos, such as not serving pork or alcohol to Muslims.

[0514] 3. Identifying Cultural Taboos

[0515] server:

[0516] Based on the analyzed visual and auditory data, the system determines suitability for guests with specific cultural or religious backgrounds, taking into account the cultural and religious information of the guest specified in advance by the user, such as "Halal certification required" or "Alcohol prohibited."

[0517] Based on the analysis results, the server detects cultural taboos and points of caution and generates a judgment result to inform the user.

[0518] 4. Notice to Users

[0519] Device:

[0520] The results are sent to the device and displayed as an overlay on the smartglasses display, allowing users to receive specific advice and warnings in real time.

[0521] User:

[0522] The user can check the results of the assessment through the smart glasses. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" will be displayed. The user can follow the displayed advice and warnings to provide appropriate hospitality to the guest.

[0523] Specific examples

[0524] Example 1: Checking Halal Certified Food

[0525] Device:

[0526] The user looks at the food they are about to serve through smart glasses, the camera captures visual data of the food, and the microphone captures conversations.

[0527] server:

[0528] The system analyzes the visual data of the food and determines whether it is Halal certified. It also checks the necessary keywords from the audio data. If the result is "This food is Halal certified," it sends that information to the device.

[0529] Device:

[0530] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[0531] User:

[0532] Check the displayed notice and serve food to guests with confidence.

[0533] Example 2: Serving alcohol

[0534] Device:

[0535] A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[0536] server:

[0537] The visual data of the wine bottle is analyzed to check for the keyword "wine." Based on the cultural and religious background of the guest, it is determined whether serving alcohol is prohibited. If the result is "This guest's religion prohibits alcohol," it is sent to the terminal.

[0538] Device:

[0539] A notification is overlaid on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[0540] User:

[0541] Check the notification and offer the guest an alternative non-alcoholic beverage.

[0542] As described above, this system assists users in providing appropriate hospitality to guests from different cultures through the acquisition and analysis of visual and auditory data, thereby minimizing the risk of violating cultural or religious taboos.

[0543] The processing flow will be explained below.

[0544] Step 1:

[0545] Device: The smart glasses' camera captures visual data in real time, capturing the objects and scenes the user is looking at and saving them as frames.

[0546] Step 2:

[0547] Device: The smart glasses' microphone collects auditory data in real time, capturing environmental sounds and conversations in real time and saving them as audio data.

[0548] Step 3:

[0549] Terminal: Preprocessing is performed on the acquired visual and auditory data. Specifically, noise filtering and contrast adjustment are performed on the visual data, and noise removal and volume adjustment are performed on the auditory data.

[0550] Step 4:

[0551] Terminal: Sends pre-processed data to the server using a secure communication protocol to prevent data loss or unauthorized access.

[0552] Step 5:

[0553] Server: Receives visual data sent from the device and temporarily stores it in storage, then applies image recognition algorithms to analyze the visual data and identify specific objects and scenes.

[0554] Step 6:

[0555] Server: Receives the audio data sent from the device and temporarily stores it in storage. It then applies a speech recognition algorithm to analyze the audio data and converts the audio content into text data.

[0556] Step 7:

[0557] Server: Combines the results of the analysis of visual and auditory data to determine whether the object or action the user is about to submit violates certain cultural or religious taboos.

[0558] Step 8:

[0559] Server: Uses decision logic to determine whether a particular action or offering is taboo, and refers to the guest's cultural and religious background information, if necessary.

[0560] Step 9:

[0561] Server: Generates the verdict and creates appropriate advice or warning messages, such as "This food is Halal certified" or "Do not serve alcohol to this guest."

[0562] Step 10:

[0563] Server: Sends the generated judgment results to the device, while paying attention to the safety and speed of communication.

[0564] Step 11:

[0565] Device: The judgment result received from the server is overlaid on the smartglasses display, and a message is displayed in an appropriate position so that the user can visually confirm it.

[0566] Step 12:

[0567] User: Check the overlay notification and take appropriate action, such as serving Halal-certified food or refraining from serving alcohol.

[0568] Example 1

[0569] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0570] When hosting people from different cultures, it is difficult to behave appropriately based on their cultural background. In particular, there is a risk of unconsciously violating religious taboos or cultural prohibitions, which could lead to trouble. To solve this problem, a system that provides accurate information in real time is needed.

[0571] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0572] In this invention, the server includes means for acquiring visual data, means for acquiring audio data, means for preprocessing the visual and audio data, means for transmitting the preprocessed data to the server, means for analyzing the data and detecting specific cultural or religious taboos, means for referencing cultural and religious information of guests designated in advance by the user, means for determining suitability for guests with specific cultural or religious backgrounds based on the analyzed visual and audio data, means for transmitting the detection results to the terminal, and means for overlaying and displaying the detection results, thereby enabling appropriate hospitality for guests from different cultures.

[0573] "Visual data" refers to image information acquired through a visual sensor such as a camera.

[0574] "Auditory data" refers to audio information acquired through an audio sensor such as a microphone.

[0575] "Preprocessing" refers to the process of performing initial processing such as noise removal and contrast adjustment on the acquired visual and auditory data.

[0576] "Server" refers to a centralized processing device that receives, analyzes, and determines visual and auditory data.

[0577] "Analysis" refers to the process of extracting meaningful information from visual and auditory data and applying algorithms to determine certain taboos and relevance.

[0578] A "cultural or religious taboo" is an action or object that is prohibited in a particular culture or religion.

[0579] The "user" is the person who operates the system and entertains guests from different cultures.

[0580] "Overlay display" refers to a method of displaying information superimposed on the screen of a display device such as smart glasses.

[0581] "Compatibility" refers to the criteria for assessing appropriateness to particular cultural or religious rules.

[0582] "Notification" refers to a message that informs the user of the analysis results or judgment results.

[0583] A "guest" is a person who is entertained by a user of the system.

[0584] This invention is a system called the "Intercultural Hospitality Checker" that supports people in taking appropriate actions based on their cultural background when hosting people from different cultures. The system uses smart glasses to acquire visual and auditory information, detects taboos in specific cultures or religions, and presents the results to the user.

[0585] The following hardware and software are required to implement this system. First, the smart glasses are equipped with a camera to acquire visual data and a microphone to acquire auditory data. Image data acquired from the camera and audio data acquired from the microphone are preprocessed on the device. Preprocessing includes, for example, noise removal and image contrast adjustment using the OpenCV library. Audio filtering technology is used to preprocess the auditory data.

[0586] Once preprocessed, the data is sent from the device to the server. This communication uses the HTTPS protocol to ensure security. The server applies image recognition algorithms to the received visual data, using TensorFlow or Google Cloud Vision API, for example, to identify objects such as food and drinks and scenes. At the same time, it performs speech recognition on the auditory data using the Google Speech-to-Text API or similar, converting the conversation into text data.

[0587] The server determines suitability for guests with specific cultural or religious backgrounds based on the analyzed visual and auditory data, referring to the cultural and religious information of the guest specified in advance by the user, such as "halal certification required" or "alcohol prohibited." Based on the analysis results, the server detects specific cultural taboos and points of caution and generates a result.

[0588] The results are then sent back to the device and displayed as an overlay on the smart glasses display. This allows users to receive specific advice and warnings in real time. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" can be displayed. Users can review these and take appropriate action.

[0589] Specific examples

[0590] Example 1: Checking Halal Certified Food

[0591] Device: The user looks at the food they are about to serve (e.g., a kebab) through smart glasses. The camera captures visual data of the food, and the microphone collects conversations.

[0592] Server: Analyzes visual data to determine whether the food is Halal certified. Also checks for the keyword "Halal" in the audio data. If the result is "This food is Halal certified," it sends that information to the device.

[0593] On the device: A notification will be overlaid on the smartglasses display informing the user that "This food is Halal certified."

[0594] User: Check the notification and serve food to guests with confidence.

[0595] Example 2: Serving alcohol

[0596] Device: A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone collects the word "wine."

[0597] Server: Analyzes visual data and recognizes the keyword "wine." Determines whether serving alcohol is prohibited based on the guest's cultural and religious background. If the result is "This guest's religion prohibits alcohol," it sends that information to the device.

[0598] Device: A notification overlay appears on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[0599] User: Confirm the notification and offer the guest a non-alcoholic beverage instead.

[0600] Prompt Sentence Examples

[0601] "What is the process for ensuring that guests from a certain country are not subject to cultural taboos when it comes to food and drink?"

[0602] As described above, this system helps users provide appropriate hospitality to guests from different cultures by capturing and analyzing visual and auditory data, minimizing the risk of violating cultural or religious taboos.

[0603] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0604] Step 1:

[0605] Data collection

[0606] Device: The smart glasses' camera captures visual data, while the microphone simultaneously captures auditory data. Specifically, the camera captures images of the food or drink the guest is about to eat, and the microphone collects their conversation.

[0607] Input: visual data of food and drink, auditory data of conversation

[0608] Output: Image data captured by the camera, audio data collected by the microphone

[0609] Step 2:

[0610] Data Preprocessing

[0611] On the device: The acquired visual data contains noise, so we use image processing algorithms to remove it. Specifically, we use the OpenCV library to adjust the contrast of the image and detect edges. We also apply noise filtering to the auditory data to remove background sounds.

[0612] Input: Image data captured by a camera, audio data collected by a microphone

[0613] Output: Noise-removed image data, noise-filtered audio data

[0614] Step 3:

[0615] Sending data

[0616] Terminal: The pre-processed data is sent to the server using a secure communication protocol (e.g., HTTPS) to ensure the safety of the data.

[0617] Input: Noise-removed image data, noise-filtered audio data

[0618] Output: Data sent to the server

[0619] Step 4:

[0620] Data analysis

[0621] Server: Apply image recognition algorithms (e.g., TensorFlow or Google Cloud Vision API) to the received visual data to recognize specific objects and scenes, such as identifying food, drink, or religious symbols. At the same time, apply speech recognition algorithms (e.g., Google Speech-to-Text API) to the auditory data to convert the audio into text data.

[0622] Input: Data sent to the server

[0623] Output: Analyzed objects and scenes, audio data converted to text

[0624] Step 5:

[0625] Determining cultural taboos

[0626] Server: Based on the analysis results, the server determines suitability based on the guest's cultural or religious background. For example, it checks whether the restaurant serves pork or alcohol to Muslims. In this case, it refers to the guest's cultural and religious information specified in advance by the user.

[0627] Specifically, the server compares the analyzed data and determines whether any relevant cultural or religious taboos exist.

[0628] Input: Analyzed objects and scenes, cultural and religious information of guests

[0629] Output: Cultural taboo judgment result

[0630] Step 6:

[0631] User Notification

[0632] Server: Sends the result of the judgment to the terminal. This process also uses a secure communication protocol (e.g., HTTPS).

[0633] Input: Cultural taboo judgment results

[0634] Output: Verification result sent to the terminal

[0635] Device: The result of the assessment is displayed as an overlay on the smart glasses display, specifically visually displaying messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest."

[0636] Input: Verification result sent from the server

[0637] Output: Overlaid notification

[0638] User: Review notifications on smart glasses and take culturally appropriate actions to accommodate guests, including adjusting food and beverage offerings based on advice and warnings.

[0639] Input: Overlaid notification

[0640] Output: Adjust your actions appropriately and provide the service to your guests.

[0641] (Application example 1)

[0642] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0643] In order to provide appropriate hospitality to customers of different cultures, store staff need to be able to understand cultural taboos and prohibitions in real time, but current methods make it difficult to do this quickly and accurately. Furthermore, it is difficult to efficiently collect information about diverse cultures and religions and provide practical advice. This often results in inadequate cross-cultural response, creating a high risk of damaging customer satisfaction.

[0644] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0645] In this invention, the server includes a means for transmitting visual and auditory data to the server, a means for analyzing the data to determine the cultural background of the customer, and a means for detecting taboos in specific cultures or religions and notifying the user of them, thereby enabling prompt and appropriate responses to customers from different cultures.

[0646] "Visual Data" refers to image or video information captured through the camera of the smart glasses.

[0647] "Auditory data" refers to information about voice and environmental sounds acquired through the microphone in smart glasses.

[0648] "Preprocessing" refers to the process of removing noise and filtering the acquired visual and auditory data.

[0649] "Server" refers to a computer system for receiving and analyzing the acquired visual and auditory data.

[0650] "Analysis" refers to the process of performing image recognition from visual data and speech recognition from auditory data to make specific cultural or religious judgments.

[0651] "Cultural background" refers to the totality of customs, practices, beliefs, etc. based on a particular region or religion.

[0652] A "taboo" is an action or thing that is forbidden in a particular culture or religion.

[0653] "Notification" refers to presenting warnings and advice to users based on the analysis results.

[0654] "Device" means a device worn or used by a user, such as smart glasses or a smartphone.

[0655] "Overlay display" refers to a technology that displays other visual information superimposed on the smart glasses display.

[0656] A "generative AI model" is a machine learning algorithm that is trained to perform a specific task based on large amounts of data.

[0657] A "prompt sentence" is an input sentence that causes a generative AI model to generate specific information.

[0658] "Integration" refers to the process of combining the results of visual data analysis and the results of auditory data analysis into a single criterion.

[0659] A "warning" is a message displayed to alert the user.

[0660] "Advice" means advice provided to a User for appropriate action.

[0661] This invention is a system that allows store staff wearing smart glasses to understand cultural taboos and prohibitions in real time in order to provide appropriate hospitality to customers from different cultures. The system provides specific advice and warnings to users through the acquisition and analysis of visual and auditory data.

[0662] Hardware and software used

[0663] Hardware:

[0664] Smart glasses (with built-in camera and microphone)

[0665] Server (for data processing)

[0666] software:

[0667] OpenCV: Used to acquire and preprocess visual data.

[0668] SpeechRecognition library: Used to acquire and analyze auditory data.

[0669] googletrans library: Used to translate auditory data.

[0670] requests library: Used to communicate with the server.

[0671] System processing overview

[0672] Data collection

[0673] Using smart glasses as a terminal, visual and auditory data is acquired in real time through a camera and microphone, and in this step, interactions and actions of customers and staff are recorded in a real store environment.

[0674] Data Preprocessing and Transmission

[0675] The visual and auditory data acquired at the terminal undergoes noise removal and necessary pre-processing, after which the pre-processed data is sent to the server.

[0676] Data analysis and judgment

[0677] The server analyzes the received visual and auditory data, applying image recognition algorithms to the visual data to identify specific objects and scenes, and speech recognition algorithms to the auditory data to convert the conversation into text. The results of the analysis are then combined to determine the customer's cultural background and detect any taboos or prohibitions within a particular culture or religion.

[0678] User Notification

[0679] The results and advice generated by the server are sent to the device and displayed as an overlay on the smartglasses display, allowing the staff user to obtain the necessary information in real time and provide appropriate hospitality to customers from different cultures.

[0680] Specific examples

[0681] Example 1: Taboos to be aware of when a customer is from Saudi Arabia and looking for traditional cuisine

[0682] A user uses smart glasses to capture a customer's voice and text, saying, "Hi, I'm from Saudi Arabia and I am looking for some traditional food." The server analyzes the visual and auditory data and notifies customers of Saudi Arabian culture not to serve pork or alcohol. Specific notifications are displayed on the smart glasses, such as "Do not serve pork to this customer" and "Do not serve alcoholic beverages to this customer."

[0683] This system allows users to respond quickly and accurately to customers from different cultures. An example of a specific prompt is, "When a customer says, 'I'm from Saudi Arabia and I'm looking for traditional food,' I will inform the store staff of the cultural taboos they should be aware of."

[0684] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0685] Step 1:

[0686] The smart glasses, which function as the terminal, capture visual and auditory data in real time through a camera and microphone. This data includes conversations and actions between customers and staff, as well as surrounding environmental sounds. Visual data input is images or videos, and auditory data input is audio. This data is the starting point for the system's processing.

[0687] Step 2:

[0688] The device preprocesses the acquired visual and auditory data. First, for the visual data, OpenCV is used to remove noise from the image and adjust the contrast. For the auditory data, the SpeechRecognition library is used to remove noise from the audio data. After preprocessing, the visual data becomes high-quality image data, and the auditory data becomes low-noise audio data. These preprocessed data are then sent to the next step.

[0689] Step 3:

[0690] The preprocessed visual and auditory data are sent by the terminal to a server, which receives these data and prepares them for subsequent analysis, where the input is the preprocessed visual and auditory data and the output is the data sent to the server.

[0691] Step 4:

[0692] The server applies image recognition algorithms to the received visual data to identify specific objects or scenes. For example, object recognition technology is used to identify the type of food or drink a customer is pointing at. The input is the preprocessed visual data, and the output is specific text data of the recognized object or scene.

[0693] Step 5:

[0694] The server applies a speech recognition algorithm to the received audio data and converts the audio to text data. It uses the SpeechRecognition library to convert the audio to text and optionally translates it using the googletrans library. The input is the preprocessed audio data and the output is the parsed text data.

[0695] Step 6:

[0696] The server integrates the analyzed visual and auditory data to determine the customer's cultural background. Specifically, it matches the results of the visual data analysis with the results of the auditory data analysis to reference information about specific cultures and religions. With this integration step, the input is the analyzed visual and auditory data, and the output is a determination of the customer's cultural background.

[0697] Step 7:

[0698] The server uses the integrated analysis results to detect taboos in specific cultures and religions, and generates specific warnings and advice, such as "Do not serve pork or alcohol to Muslims." The input is the judgment result about the customer's cultural background, and the output is objective text data of warnings and advice.

[0699] Step 8:

[0700] The server sends the generated warnings and advice to the device. The notifications are overlaid on the smartglasses display and provided to the user in real time. The input here is the text data of the warnings and advice, and the output is the transmission result to the device and the notification to the user.

[0701] Step 9:

[0702] The user, a store staff member, checks the notification displayed on the smart glasses and takes appropriate hospitality action. For example, providing food that requires halal certification or alcohol-free beverages. The input is the notification overlay, and the output is the appropriate hospitality action.

[0703] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0704] This invention relates to the "Intercultural Hospitality Checker," a system that takes into account the user's emotions and responds appropriately when entertaining guests from different cultures while avoiding cultural and religious taboos. This system uses smart glasses to acquire visual and auditory data, analyzes that information to detect cultural taboos, and combines it with an emotion engine that analyzes the user's emotional state.

[0705] 1. Data Collection

[0706] Device:

[0707] Visual data is acquired in real time using the smart glasses' camera. Auditory data, such as environmental sounds and conversation content, is also acquired using the smart glasses' microphone. The acquired data undergoes preprocessing, including noise removal and contrast adjustment. After preprocessing, the data is sent to the server.

[0708] 2. Data Analysis

[0709] server:

[0710] The server receives visual and auditory data sent from the device, applies image recognition algorithms to the visual data to identify specific objects and scenes, and applies speech recognition algorithms to the auditory data to convert it into text data. The results of the analyzed visual and auditory data are combined to determine whether the actions or objects provided by the user violate certain cultural or religious taboos.

[0711] 3. Emotion Recognition by Emotion Engine

[0712] server:

[0713] The server further analyzes the user's emotional state from the visual and auditory data using an emotion engine, which uses facial expression analysis algorithms and tone of voice analysis algorithms to identify the user's emotions (e.g., joy, anger, sadness, surprise, etc.).

[0714] 4. Identifying cultural taboos and regulating emotions

[0715] server:

[0716] The server then uses the analysis results to determine cultural or religious taboos, taking into account the user's emotional state. Additionally, if the user is feeling stressed, the server adjusts the content and timing of warnings and advice. For example, if the user is confused, the server displays a simple message.

[0717] 5. Notice to Users

[0718] Device:

[0719] The results are sent to the device and displayed as an overlay on the smartglasses display, allowing users to receive specific advice and warnings in real time.

[0720] User:

[0721] The user can check the results of the assessment and the emotion engine's analysis via the smart glasses. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" will be displayed. By following the displayed advice and warnings, the user can provide appropriate hospitality to the guest.

[0722] Specific examples

[0723] Example 1: Checking Halal Certified Food

[0724] Device:

[0725] The user looks at the food they are about to serve through smart glasses, the camera captures visual data of the food, and the microphone captures conversations.

[0726] server:

[0727] It analyzes the visual data of food to determine whether it is Halal certified. It also uses an emotion engine to analyze the user's facial expressions and tone of voice to determine their emotional state. If the result is "This food is Halal certified" and the user feels reassured, it sends the result to the device.

[0728] Device:

[0729] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[0730] User:

[0731] Check the displayed notice and serve food to guests with confidence.

[0732] Example 2: Serving alcohol

[0733] Device:

[0734] A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[0735] server:

[0736] The system analyzes the visual and audio data of the wine bottle to determine whether serving alcohol is prohibited based on the guest's cultural and religious background. It also uses an emotion engine to analyze the user's emotional state. If the result is "Alcohol is prohibited by this guest's religion" and the user is unsure, it displays simple advice.

[0737] Device:

[0738] A notification is overlaid on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[0739] User:

[0740] Check the notification and offer the guest an alternative non-alcoholic beverage.

[0741] As described above, this system uses visual and auditory data and an emotion engine to analyze and assist users in providing appropriate hospitality to guests from different cultures. This system minimizes the risk of violating cultural or religious taboos and allows for flexible responses based on the user's emotional state.

[0742] The processing flow will be explained below.

[0743] Step 1:

[0744] Device: The smart glasses' camera captures visual data in real time, capturing the objects and scenes the user is looking at and saving them as frames.

[0745] Step 2:

[0746] Device: The smart glasses' microphone collects auditory data in real time, capturing environmental sounds and conversations in real time and saving them as audio data.

[0747] Step 3:

[0748] Terminal: Preprocessing is performed on the acquired visual and auditory data. Specifically, noise filtering and contrast adjustment are performed on the visual data, and noise removal and volume adjustment are performed on the auditory data.

[0749] Step 4:

[0750] Terminal: Sends pre-processed data to the server using a secure communication protocol to prevent data loss or unauthorized access.

[0751] Step 5:

[0752] Server: Receives visual data sent from the device and temporarily stores it in storage, then applies image recognition algorithms to analyze the visual data and identify specific objects and scenes.

[0753] Step 6:

[0754] Server: Receives the audio data sent from the device and temporarily stores it in storage. It then applies a speech recognition algorithm to analyze the audio data and converts the audio content into text data.

[0755] Step 7:

[0756] Server: Combines the results of the visual and auditory analysis and uses the combined data to determine whether the object or action the user is about to submit violates certain cultural or religious taboos.

[0757] Step 8:

[0758] Server: Applying an emotion engine that analyzes the user's facial expressions and tone of voice based on visual and auditory data, specifically using facial expression analysis algorithms and tone of voice analysis algorithms to identify the user's emotions (e.g., joy, anger, sadness, surprise, etc.).

[0759] Step 9:

[0760] Server: Integrates the analysis results of the emotion engine to determine cultural or religious taboos that take into account the user's emotional state. For example, if the user is confused, it generates a more concise message.

[0761] Step 10:

[0762] Server: Uses decision logic to determine whether a particular action or offering violates cultural or religious taboos, and refers to the guest's cultural and religious background information, if necessary.

[0763] Step 11:

[0764] Server: Generates the verdict and creates an advice or warning message, for example, "This food is Halal certified" or "Do not serve alcohol to this guest."

[0765] Step 12:

[0766] Server: Sends the generated judgment results to the device, while paying attention to the safety and speed of communication.

[0767] Step 13:

[0768] Device: The judgment result received from the server is overlaid on the smartglasses display, and a message is displayed in an appropriate position so that the user can visually confirm it.

[0769] Step 14:

[0770] User: Check the overlay notification and take appropriate action, such as serving Halal-certified food or refraining from serving alcohol.

[0771] Example 2

[0772] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0773] When entertaining guests from different cultures, it is necessary to provide real-time advice and warnings that take into account the user's emotions while avoiding cultural and religious taboos. However, while existing systems focus on detecting taboos, they do not provide sufficient flexibility to take into account the user's emotional state. This poses a challenge in providing insufficient support for users to provide appropriate hospitality to guests.

[0774] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0775] In this invention, the server includes means for acquiring visual data, means for acquiring audio data, means for preprocessing the visual and audio data, means for transmitting the preprocessed data to the server, means for analyzing the data and detecting specific cultural or religious taboos, means for analyzing the user's emotional state using an emotion analysis engine, means for generating a warning or advice based on the analysis results, means for transmitting the warning or advice to the terminal, and means for overlaying the transmitted warning or advice, thereby enabling not only avoidance of cultural and religious taboos but also flexible responses according to the user's emotions.

[0776] "Visual data" refers to images and video information acquired using smart glasses, cameras, etc.

[0777] "Auditory data" refers to voice and environmental sounds acquired through a microphone or the like.

[0778] "Preprocessing" refers to performing initial processing such as noise removal and contrast adjustment on acquired data.

[0779] A "server" is a central processing system that receives data sent from a terminal and analyzes and processes it.

[0780] "Analysis" is the process of using algorithms and models to interpret acquired data and turn it into meaningful information.

[0781] A "cultural taboo" is an act or thing that is not permitted in a particular culture or religion.

[0782] An "emotion analysis engine" is an algorithm or software that analyzes visual and auditory data to identify a user's emotional state.

[0783] A "warning" is a notification or message that alerts the user.

[0784] "Advice" is advice or a recommendation for the user to take appropriate action.

[0785] "Overlay display" is a method of displaying information superimposed on the smart glasses display.

[0786] "Conformity" refers to the criteria for determining whether an action or thing is acceptable based on particular cultural or religious standards.

[0787] This invention relates to a system called "Intercultural Hospitality Checker" that takes into consideration the user's feelings and responds appropriately when entertaining guests from different cultures while avoiding cultural and religious taboos. An embodiment of the invention will be described below.

[0788] Data collection

[0789] Device:

[0790] The user wears smart glasses and uses them to capture visual and auditory data in real time. Visual data is captured through the smart glasses' camera, and auditory data is captured through the smart glasses' microphone. For example, when a user looks at a particular food item or starts a conversation with a guest, the smart glasses capture these scenes and sounds.

[0791] Data Preprocessing

[0792] Device:

[0793] The acquired visual and auditory data are then subjected to pre-processing such as noise reduction and contrast adjustment. The visual data is contrast adjusted to improve image clarity, while the auditory data is filtered to remove background noise.

[0794] Data transmission

[0795] Device:

[0796] Once pre-processed, the visual and auditory data is sent to the server in real time. This process is continuous, meaning that data is constantly being sent to the server while the user is using the device.

[0797] Image and Audio Analysis

[0798] server:

[0799] The server receives and analyzes the visual and auditory data sent from the device. It applies image recognition algorithms (e.g., YOLO, ResNet) to identify specific objects and scenes, and uses speech recognition algorithms (e.g., Google Cloud Speech-to-Text API) to convert the audio data into text. For example, it can identify the "Halal Certified" mark in a photo of a food package or convert the guest's speech into text.

[0800] Emotion analysis

[0801] server:

[0802] The server uses an emotion analysis engine (e.g., Microsoft Azure Emotion API) to analyze the user's emotional state from visual and auditory data, thereby identifying the user's emotions, such as joy, surprise, or stress.

[0803] Determining cultural taboos

[0804] server:

[0805] The server combines the results of image and audio analysis with sentiment analysis to determine specific cultural or religious taboos, such as whether a particular food item is Halal certified or whether a guest's religion prohibits alcohol.

[0806] User Notification

[0807] Device:

[0808] The server receives the results and advice, which are then overlaid on the smartglasses display, allowing users to receive specific advice and warnings in real time, such as a message saying, "This food is not Halal certified."

[0809] User:

[0810] Users can check the results of the assessment and emotion analysis sent through the smart glasses and follow the advice and warnings provided to them to provide appropriate hospitality to their guests. For example, if they receive a notification that alcohol is not permitted, they can serve non-alcoholic drinks.

[0811] Specific examples

[0812] Example 1: Checking Halal Certified Food

[0813] Device:

[0814] The smart glasses take a picture of the food the user is about to serve, and the camera captures visual data of the food, while the microphone records the conversation.

[0815] server:

[0816] The server analyzes the visual data of the food to determine whether it is Halal certified. It also uses an emotion analysis engine to analyze the user's facial expressions and tone of voice to determine the user's emotional state. If the result is "This food is Halal certified" and the user is satisfied, the result is sent to the device.

[0817] Device:

[0818] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[0819] User:

[0820] Check the displayed notice and serve food to guests with confidence.

[0821] Example 2: Serving alcohol

[0822] Device:

[0823] A user wants to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[0824] server:

[0825] The server analyzes the visual and audio data of the wine bottle to determine whether serving alcohol is prohibited based on the guest's cultural and religious background. It also analyzes the user's emotional state using a sentiment analysis engine. If the result is "Alcohol is prohibited by this guest's religion" and the user is unsure, it displays a brief advice.

[0826] Device:

[0827] A notification is overlaid on the smartglasses display, informing the user, "This guest's religion prohibits alcohol."

[0828] User:

[0829] Check the notification and offer the guest an alternative non-alcoholic beverage.

[0830] As described above, this system uses visual and auditory data and an emotion analysis engine to assist users in providing appropriate hospitality to guests from different cultures. This system minimizes the risk of violating cultural or religious taboos and allows for flexible responses based on the user's emotional state.

[0831] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0832] Step 1:

[0833] Data collection

[0834] Device:

[0835] Once the user puts on the smart glasses, visual and auditory data collection begins. Visual data is acquired in real time through the smart glasses' camera, and auditory data is acquired through the smart glasses' microphone. For example, when the user looks at food or initiates a conversation, these data are captured.

[0836] input:

[0837] The food and surroundings the user is looking at.

[0838] output:

[0839] Image data captured by the camera and audio data recorded by the microphone.

[0840] Specific behavior:

[0841] The camera continuously captures images and the microphone records audio.

[0842] Step 2:

[0843] Data Preprocessing

[0844] Device:

[0845] The acquired visual and auditory data are preprocessed using noise reduction and contrast adjustment. The visual data is contrast adjusted to improve image clarity, and the auditory data is filtered to remove background noise.

[0846] input:

[0847] The raw image and audio data captured.

[0848] output:

[0849] Processed data with noise removal and contrast adjustment.

[0850] Specific behavior:

[0851] Image processing algorithms are used to adjust image contrast and remove noise, and audio processing algorithms are used to remove environmental sounds.

[0852] Step 3:

[0853] Data transmission

[0854] Device:

[0855] The pre-processed visual and auditory data is then sent to a server in real time, and this process continues while the user is using the device.

[0856] input:

[0857] Preprocessed visual and auditory data.

[0858] output:

[0859] Preprocessed data sent to the server.

[0860] Specific behavior:

[0861] The data packets are sent over the Internet to a server.

[0862] Step 4:

[0863] Image and Audio Analysis

[0864] server:

[0865] The server receives the visual and auditory data sent from the device, uses image recognition algorithms to identify specific objects and scenes, and uses speech recognition algorithms to convert the audio into text data.

[0866] input:

[0867] Preprocessed visual and auditory data sent to the server.

[0868] output:

[0869] Text data as a result of image analysis and speech recognition.

[0870] Specific behavior:

[0871] The visual data is analyzed with image recognition algorithms to identify specific objects and scenes, while the auditory data is analyzed with speech recognition algorithms and converted into text data.

[0872] Step 5:

[0873] Emotion analysis

[0874] server:

[0875] The server uses the acquired visual and auditory data to run an emotion analysis engine to analyze the user's emotional state, including facial expression analysis and tone of voice analysis.

[0876] input:

[0877] Preprocessed and analyzed visual and auditory data.

[0878] output:

[0879] Identification of the user's emotional state.

[0880] Specific behavior:

[0881] Facial expression recognition algorithms are used to analyze the user's facial expressions, and tone of voice analysis algorithms are used to identify emotions.

[0882] Step 6:

[0883] Determining cultural taboos

[0884] server:

[0885] The results of image and audio analysis are used to determine certain cultural or religious taboos, including taking into account the user's emotional state.

[0886] input:

[0887] Image and audio analysis results and user sentiment analysis results.

[0888] output:

[0889] The results of determining cultural or religious taboos.

[0890] Specific behavior:

[0891] Based on specific criteria, the analysis results and emotional state are combined to determine whether or not a taboo exists.

[0892] Step 7:

[0893] User Notification

[0894] Device:

[0895] The system receives the judgment results and advice sent from the server and overlays them on the smart glasses display, notifying the user in real time.

[0896] input:

[0897] The results of the cultural taboo judgment and advice sent from the server.

[0898] output:

[0899] A notification message displayed on the smart glasses display.

[0900] Specific behavior:

[0901] Messages such as "This food is not halal certified" and "Do not serve alcohol to this guest" will appear on the smart glasses.

[0902] The user can check the results of the assessment and the analysis of the emotion engine through the smart glasses and take appropriate action to treat the guest, for example, by following instructions to avoid non-halal food or by offering non-alcoholic beverages.

[0903] (Application example 2)

[0904] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0905] Modern brick-and-mortar stores are required to provide appropriate customer service to customers of different cultures and religions. However, it is extremely difficult to understand cultural and religious taboos and grasp the emotional state of customers while providing service. This creates the risk of providing incorrect products or services, or causing customer dissatisfaction or confusion. Furthermore, there is also the issue of increased workloads for staff, which can prevent them from concentrating on their primary customer service duties.

[0906] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing visual data and auditory data to detect specific cultural or religious taboos, means for acquiring and analyzing emotional states, and means for recommending appropriate products and services to users based on the analysis results. This enables flexible and accurate customer service in brick-and-mortar stores that responds to customers' emotional states while avoiding cultural and religious taboos.

[0907] "Visual data" refers to video information captured in real time using visual sensors such as cameras in smart glasses.

[0908] "Auditory data" refers to information about speech and environmental sounds acquired through the microphone in smart glasses or other audio input devices.

[0909] "Preprocessing" refers to the process of performing initial processing such as noise removal and contrast adjustment on the acquired visual and auditory data.

[0910] The "server" is a central processing unit that analyzes the acquired data and manages the results.

[0911] A "cultural taboo" is an act that is considered forbidden or something that should be avoided in a particular cultural sphere.

[0912] A "religious taboo" is an act or thing that is forbidden in a particular religion.

[0913] "Emotional state" refers to a psychological state such as joy, anger, sadness, or surprise that is analyzed from the user's facial expression and tone of voice.

[0914] "Recommendation" means presenting appropriate products and services to users based on the analysis results.

[0915] "Overlay display" is a technology that displays information superimposed on the field of view of smart glasses.

[0916] "Analysis Algorithms" refers to the mathematical and statistical methods used to analyze the visual and auditory data.

[0917] A "warning" is information that alerts users when an action they are about to take is culturally or religiously inappropriate.

[0918] "Advice" is information that indicates appropriate actions or options that a user should take.

[0919] This invention is designed to assist customers in brick-and-mortar stores. The system uses smart glasses to capture real-time visual and auditory data, analyzes the data to detect cultural and religious taboos, and recommends appropriate products and services while taking into account the user's emotional state.

[0920] The server uses multiple data acquisition and analysis methods to provide highly accurate information.

[0921] First, the following hardware is used:

[0922] Smart glasses (e.g. Google Glass)

[0923] Camera and microphone built into smart glasses

[0924] The following software is used:

[0925] Image processing library (e.g. OpenCV)

[0926] Pre-trained models (e.g., object recognition models using TensorFlow)

[0927] Speech recognition engine (e.g. Google Cloud Speech-to-Text)

[0928] Emotion analysis API (e.g. EmotionAPI)

[0929] When a user wears the smart glasses, visual and auditory data are collected in real time. The collected data is first preprocessed. Visual data is converted to grayscale using OpenCV, and noise is removed and contrast is adjusted. Auditory data is converted to text using a speech recognition engine.

[0930] The server receives the acquired and preprocessed data, applies object recognition algorithms using TensorFlow to the visual data to identify specific objects and scenes, and applies sentiment analysis APIs to the auditory data to analyze the user's emotional state from their tone of voice and word choice.

[0931] The analysis results are integrated to determine whether taboos exist based on cultural and religious backgrounds, and the emotional state is taken into account when recommending appropriate products and services. For example, if the system determines that a user is confused, it will provide concise and clear advice.

[0932] This allows users to always provide appropriate customer service and avoid providing incorrect products or services. For example, it can recommend meat-free menu items to vegetarian customers, avoiding cultural and religious taboos.

[0933] For example, you might use the following prompt:

[0934] "Use the Cross-Cultural Hospitality Checker to show your system how to accommodate vegetarian customers."

[0935] In this way, the present invention is a system that provides customer service support that takes into account the emotional state of the user while avoiding cross-cultural and cross-religious taboos, based on the acquisition and analysis of visual and auditory data.

[0936] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0937] Step 1:

[0938] The user puts on the smart glasses and begins acquiring visual and auditory data. The camera built into the smart glasses acquires images of the environment (visual data) in real time, and the microphone captures audio (auditory data). The acquired visual data is the video stream from the camera, and the auditory data is audio waveform data.

[0939] Step 2:

[0940] Preprocessing is performed on the device. Visual data is converted to grayscale using OpenCV, and image noise is removed and contrast is adjusted. This improves image quality and increases analysis accuracy. Auditory data is converted to text using a speech recognition engine. This conversion processes the audio data into a format (text data) suitable for analysis.

[0941] Step 3:

[0942] The preprocessed visual and auditory data is sent to a server. The device uploads the data to the server via the internet and prepares it for analysis. The sent data includes noise-removed image data and text-converted audio data.

[0943] Step 4:

[0944] The server analyzes the transmitted data. It applies object recognition algorithms using TensorFlow to the visual data to identify specific objects and scenes. For example, it identifies food and beverages in the visual data. It also applies an emotion analysis API to the auditory data to analyze the emotional state from the resulting text. Analysis includes facial expression analysis and tone analysis of the voice.

[0945] Step 5:

[0946] The server integrates the analysis results. It combines the object recognition results from the visual data and the emotion analysis results from the auditory data to generate a single comprehensive analysis result. For example, it determines whether a particular food item is halal or whether the customer is confused.

[0947] Step 6:

[0948] Based on the analysis results, the server determines certain cultural or religious taboos and recommends appropriate products and services to the user. It also generates warnings and advice based on the analysis results, such as "This food is Halal certified" or "Do not serve alcohol to this guest."

[0949] Step 7:

[0950] The generated analysis results and recommendations are sent to the device. The server then sends the analysis results and warning / advice messages to the device in real time, preparing them for delivery to the user.

[0951] Step 8:

[0952] The analysis results are overlaid on the device, and the analysis results and warning messages sent are overlaid on the smart glasses display, allowing users to receive specific advice and warnings in real time and take appropriate action.

[0953] Step 9:

[0954] Users can check the displayed analysis results and warnings / advice and adjust their actions accordingly. For example, by following the displayed messages, users can provide halal-certified food and avoid serving alcohol, thereby providing appropriate hospitality to customers from different cultures.

[0955] The above is the specific processing flow of the system that realizes this application example.

[0956] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0957] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0958] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0959] [Third embodiment]

[0960] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0961] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0962] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0963] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0964] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0965] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0966] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0967] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0968] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0969] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0970] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0971] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0972] This invention is a system called the "Intercultural Hospitality Checker" that supports people in taking appropriate actions based on their cultural background when hosting people from different cultures. The system uses smart glasses to acquire visual and auditory information, detects taboos in specific cultures or religions, and presents the results to the user.

[0973] 1. Data Collection

[0974] Device:

[0975] The smart glasses' camera is used to capture visual data in real time. The smart glasses' microphone is also used to capture auditory data such as environmental sounds and conversation content. This data undergoes pre-processing to remove noise and adjust image contrast. After pre-processing, the data is sent to a server.

[0976] 2. Data Analysis

[0977] server:

[0978] The server receives visual and auditory data sent from the device. It applies image recognition algorithms to the visual data to identify specific objects (e.g., food and drink) and scenes. It applies voice recognition algorithms to the auditory data to convert the content of conversations and keywords into text data. This allows the visual and auditory information to be analyzed.

[0979] After obtaining the analysis results, the server aggregates these results and determines whether the actions or items provided by the user violate certain cultural or religious taboos, such as not serving pork or alcohol to Muslims.

[0980] 3. Identifying Cultural Taboos

[0981] server:

[0982] Based on the analyzed visual and auditory data, the system determines suitability for guests with specific cultural or religious backgrounds, taking into account the cultural and religious information of the guest specified in advance by the user, such as "Halal certification required" or "Alcohol prohibited."

[0983] Based on the analysis results, the server detects cultural taboos and points of caution and generates a judgment result to inform the user.

[0984] 4. Notice to Users

[0985] Device:

[0986] The results are sent to the device and displayed as an overlay on the smartglasses display, allowing users to receive specific advice and warnings in real time.

[0987] User:

[0988] The user can check the results of the assessment through the smart glasses. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" will be displayed. The user can follow the displayed advice and warnings to provide appropriate hospitality to the guest.

[0989] Specific examples

[0990] Example 1: Checking Halal Certified Food

[0991] Device:

[0992] The user looks at the food they are about to serve through smart glasses, the camera captures visual data of the food, and the microphone captures conversations.

[0993] server:

[0994] The system analyzes the visual data of the food and determines whether it is Halal certified. It also checks the necessary keywords from the audio data. If the result is "This food is Halal certified," it sends that information to the device.

[0995] Device:

[0996] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[0997] User:

[0998] Check the displayed notice and serve food to guests with confidence.

[0999] Example 2: Serving alcohol

[1000] Device:

[1001] A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[1002] server:

[1003] The visual data of the wine bottle is analyzed to check for the keyword "wine." Based on the cultural and religious background of the guest, it is determined whether serving alcohol is prohibited. If the result is "This guest's religion prohibits alcohol," it is sent to the terminal.

[1004] Device:

[1005] A notification is overlaid on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[1006] User:

[1007] Check the notification and offer the guest an alternative non-alcoholic beverage.

[1008] As described above, this system assists users in providing appropriate hospitality to guests from different cultures through the acquisition and analysis of visual and auditory data, thereby minimizing the risk of violating cultural or religious taboos.

[1009] The processing flow will be explained below.

[1010] Step 1:

[1011] Device: The smart glasses' camera captures visual data in real time, capturing the objects and scenes the user is looking at and saving them as frames.

[1012] Step 2:

[1013] Device: The smart glasses' microphone collects auditory data in real time, capturing environmental sounds and conversations in real time and saving them as audio data.

[1014] Step 3:

[1015] Terminal: Preprocessing is performed on the acquired visual and auditory data. Specifically, noise filtering and contrast adjustment are performed on the visual data, and noise removal and volume adjustment are performed on the auditory data.

[1016] Step 4:

[1017] Terminal: Sends pre-processed data to the server using a secure communication protocol to prevent data loss or unauthorized access.

[1018] Step 5:

[1019] Server: Receives visual data sent from the device and temporarily stores it in storage, then applies image recognition algorithms to analyze the visual data and identify specific objects and scenes.

[1020] Step 6:

[1021] Server: Receives the audio data sent from the device and temporarily stores it in storage. It then applies a speech recognition algorithm to analyze the audio data and converts the audio content into text data.

[1022] Step 7:

[1023] Server: Combines the results of the analysis of visual and auditory data to determine whether the object or action the user is about to submit violates certain cultural or religious taboos.

[1024] Step 8:

[1025] Server: Uses decision logic to determine whether a particular action or offering is taboo, and refers to the guest's cultural and religious background information, if necessary.

[1026] Step 9:

[1027] Server: Generates the verdict and creates appropriate advice or warning messages, such as "This food is Halal certified" or "Do not serve alcohol to this guest."

[1028] Step 10:

[1029] Server: Sends the generated judgment results to the device, while paying attention to the safety and speed of communication.

[1030] Step 11:

[1031] Device: The judgment result received from the server is overlaid on the smartglasses display, and a message is displayed in an appropriate position so that the user can visually confirm it.

[1032] Step 12:

[1033] User: Check the overlay notification and take appropriate action, such as serving Halal-certified food or refraining from serving alcohol.

[1034] Example 1

[1035] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1036] When hosting people from different cultures, it is difficult to behave appropriately based on their cultural background. In particular, there is a risk of unconsciously violating religious taboos or cultural prohibitions, which could lead to trouble. To solve this problem, a system that provides accurate information in real time is needed.

[1037] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1038] In this invention, the server includes means for acquiring visual data, means for acquiring audio data, means for preprocessing the visual and audio data, means for transmitting the preprocessed data to the server, means for analyzing the data and detecting specific cultural or religious taboos, means for referencing cultural and religious information of guests designated in advance by the user, means for determining suitability for guests with specific cultural or religious backgrounds based on the analyzed visual and audio data, means for transmitting the detection results to the terminal, and means for overlaying and displaying the detection results, thereby enabling appropriate hospitality for guests from different cultures.

[1039] "Visual data" refers to image information acquired through a visual sensor such as a camera.

[1040] "Auditory data" refers to audio information acquired through an audio sensor such as a microphone.

[1041] "Preprocessing" refers to the process of performing initial processing such as noise removal and contrast adjustment on the acquired visual and auditory data.

[1042] "Server" refers to a centralized processing device that receives, analyzes, and determines visual and auditory data.

[1043] "Analysis" refers to the process of extracting meaningful information from visual and auditory data and applying algorithms to determine certain taboos and relevance.

[1044] A "cultural or religious taboo" is an action or object that is prohibited in a particular culture or religion.

[1045] The "user" is the person who operates the system and entertains guests from different cultures.

[1046] "Overlay display" refers to a method of displaying information superimposed on the screen of a display device such as smart glasses.

[1047] "Compatibility" refers to the criteria for assessing appropriateness to particular cultural or religious rules.

[1048] "Notification" refers to a message that informs the user of the analysis results or judgment results.

[1049] A "guest" is a person who is entertained by a user of the system.

[1050] This invention is a system called the "Intercultural Hospitality Checker" that supports people in taking appropriate actions based on their cultural background when hosting people from different cultures. The system uses smart glasses to acquire visual and auditory information, detects taboos in specific cultures or religions, and presents the results to the user.

[1051] The following hardware and software are required to implement this system. First, the smart glasses are equipped with a camera to acquire visual data and a microphone to acquire auditory data. Image data acquired from the camera and audio data acquired from the microphone are preprocessed on the device. Preprocessing includes, for example, noise removal and image contrast adjustment using the OpenCV library. Audio filtering technology is used to preprocess the auditory data.

[1052] Once preprocessed, the data is sent from the device to the server. This communication uses the HTTPS protocol to ensure security. The server applies image recognition algorithms to the received visual data, using TensorFlow or Google Cloud Vision API, for example, to identify objects such as food and drinks and scenes. At the same time, it performs speech recognition on the auditory data using the Google Speech-to-Text API or similar, converting the conversation into text data.

[1053] The server determines suitability for guests with specific cultural or religious backgrounds based on the analyzed visual and auditory data, referring to the cultural and religious information of the guest specified in advance by the user, such as "halal certification required" or "alcohol prohibited." Based on the analysis results, the server detects specific cultural taboos and points of caution and generates a result.

[1054] The results are then sent back to the device and displayed as an overlay on the smart glasses display. This allows users to receive specific advice and warnings in real time. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" can be displayed. Users can review these and take appropriate action.

[1055] Specific examples

[1056] Example 1: Checking Halal Certified Food

[1057] Device: The user looks at the food they are about to serve (e.g., a kebab) through smart glasses. The camera captures visual data of the food, and the microphone collects conversations.

[1058] Server: Analyzes visual data to determine whether the food is Halal certified. Also checks for the keyword "Halal" in the audio data. If the result is "This food is Halal certified," it sends that information to the device.

[1059] On the device: A notification will be overlaid on the smartglasses display informing the user that "This food is Halal certified."

[1060] User: Check the notification and serve food to guests with confidence.

[1061] Example 2: Serving alcohol

[1062] Device: A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone collects the word "wine."

[1063] Server: Analyzes visual data and recognizes the keyword "wine." Determines whether serving alcohol is prohibited based on the guest's cultural and religious background. If the result is "This guest's religion prohibits alcohol," it sends that information to the device.

[1064] Device: A notification overlay appears on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[1065] User: Confirm the notification and offer the guest a non-alcoholic beverage instead.

[1066] Prompt Sentence Examples

[1067] "What is the process for ensuring that guests from a certain country are not subject to cultural taboos when it comes to food and drink?"

[1068] As described above, this system helps users provide appropriate hospitality to guests from different cultures by capturing and analyzing visual and auditory data, minimizing the risk of violating cultural or religious taboos.

[1069] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1070] Step 1:

[1071] Data collection

[1072] Device: The smart glasses' camera captures visual data, while the microphone simultaneously captures auditory data. Specifically, the camera captures images of the food or drink the guest is about to eat, and the microphone collects their conversation.

[1073] Input: visual data of food and drink, auditory data of conversation

[1074] Output: Image data captured by the camera, audio data collected by the microphone

[1075] Step 2:

[1076] Data Preprocessing

[1077] On the device: The acquired visual data contains noise, so we use image processing algorithms to remove it. Specifically, we use the OpenCV library to adjust the contrast of the image and detect edges. We also apply noise filtering to the auditory data to remove background sounds.

[1078] Input: Image data captured by a camera, audio data collected by a microphone

[1079] Output: Noise-removed image data, noise-filtered audio data

[1080] Step 3:

[1081] Sending data

[1082] Terminal: The pre-processed data is sent to the server using a secure communication protocol (e.g., HTTPS) to ensure the safety of the data.

[1083] Input: Noise-removed image data, noise-filtered audio data

[1084] Output: Data sent to the server

[1085] Step 4:

[1086] Data analysis

[1087] Server: Apply image recognition algorithms (e.g., TensorFlow or Google Cloud Vision API) to the received visual data to recognize specific objects and scenes, such as identifying food, drink, or religious symbols. At the same time, apply speech recognition algorithms (e.g., Google Speech-to-Text API) to the auditory data to convert the audio into text data.

[1088] Input: Data sent to the server

[1089] Output: Analyzed objects and scenes, audio data converted to text

[1090] Step 5:

[1091] Determining cultural taboos

[1092] Server: Based on the analysis results, the server determines suitability based on the guest's cultural or religious background. For example, it checks whether the restaurant serves pork or alcohol to Muslims. In this case, it refers to the guest's cultural and religious information specified in advance by the user.

[1093] Specifically, the server compares the analyzed data and determines whether any relevant cultural or religious taboos exist.

[1094] Input: Analyzed objects and scenes, cultural and religious information of guests

[1095] Output: Cultural taboo judgment result

[1096] Step 6:

[1097] User Notification

[1098] Server: Sends the result of the judgment to the terminal. This process also uses a secure communication protocol (e.g., HTTPS).

[1099] Input: Cultural taboo judgment results

[1100] Output: Verification result sent to the terminal

[1101] Device: The result of the assessment is displayed as an overlay on the smart glasses display, specifically visually displaying messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest."

[1102] Input: Verification result sent from the server

[1103] Output: Overlaid notification

[1104] User: Review notifications on smart glasses and take culturally appropriate actions to accommodate guests, including adjusting food and beverage offerings based on advice and warnings.

[1105] Input: Overlaid notification

[1106] Output: Adjust your actions appropriately and provide the service to your guests.

[1107] (Application example 1)

[1108] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1109] In order to provide appropriate hospitality to customers of different cultures, store staff need to be able to understand cultural taboos and prohibitions in real time, but current methods make it difficult to do this quickly and accurately. Furthermore, it is difficult to efficiently collect information about diverse cultures and religions and provide practical advice. This often results in inadequate cross-cultural response, creating a high risk of damaging customer satisfaction.

[1110] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1111] In this invention, the server includes a means for transmitting visual and auditory data to the server, a means for analyzing the data to determine the cultural background of the customer, and a means for detecting taboos in specific cultures or religions and notifying the user of them, thereby enabling prompt and appropriate responses to customers from different cultures.

[1112] "Visual Data" refers to image or video information captured through the camera of the smart glasses.

[1113] "Auditory data" refers to information about voice and environmental sounds acquired through the microphone in smart glasses.

[1114] "Preprocessing" refers to the process of removing noise and filtering the acquired visual and auditory data.

[1115] "Server" refers to a computer system for receiving and analyzing the acquired visual and auditory data.

[1116] "Analysis" refers to the process of performing image recognition from visual data and speech recognition from auditory data to make specific cultural or religious judgments.

[1117] "Cultural background" refers to the totality of customs, practices, beliefs, etc. based on a particular region or religion.

[1118] A "taboo" is an action or thing that is forbidden in a particular culture or religion.

[1119] "Notification" refers to presenting warnings and advice to users based on the analysis results.

[1120] "Device" means a device worn or used by a user, such as smart glasses or a smartphone.

[1121] "Overlay display" refers to a technology that displays other visual information superimposed on the smart glasses display.

[1122] A "generative AI model" is a machine learning algorithm that is trained to perform a specific task based on large amounts of data.

[1123] A "prompt sentence" is an input sentence that causes a generative AI model to generate specific information.

[1124] "Integration" refers to the process of combining the results of visual data analysis and the results of auditory data analysis into a single criterion.

[1125] A "warning" is a message displayed to alert the user.

[1126] "Advice" means advice provided to a User for appropriate action.

[1127] This invention is a system that allows store staff wearing smart glasses to understand cultural taboos and prohibitions in real time in order to provide appropriate hospitality to customers from different cultures. The system provides specific advice and warnings to users through the acquisition and analysis of visual and auditory data.

[1128] Hardware and software used

[1129] Hardware:

[1130] Smart glasses (with built-in camera and microphone)

[1131] Server (for data processing)

[1132] software:

[1133] OpenCV: Used to acquire and preprocess visual data.

[1134] SpeechRecognition library: Used to acquire and analyze auditory data.

[1135] googletrans library: Used to translate auditory data.

[1136] requests library: Used to communicate with the server.

[1137] System processing overview

[1138] Data collection

[1139] Using smart glasses as a terminal, visual and auditory data is acquired in real time through a camera and microphone, and in this step, interactions and actions of customers and staff are recorded in a real store environment.

[1140] Data Preprocessing and Transmission

[1141] The visual and auditory data acquired at the terminal undergoes noise removal and necessary pre-processing, after which the pre-processed data is sent to the server.

[1142] Data analysis and judgment

[1143] The server analyzes the received visual and auditory data, applying image recognition algorithms to the visual data to identify specific objects and scenes, and speech recognition algorithms to the auditory data to convert the conversation into text. The results of the analysis are then combined to determine the customer's cultural background and detect any taboos or prohibitions within a particular culture or religion.

[1144] User Notification

[1145] The results and advice generated by the server are sent to the device and displayed as an overlay on the smartglasses display, allowing the staff user to obtain the necessary information in real time and provide appropriate hospitality to customers from different cultures.

[1146] Specific examples

[1147] Example 1: Taboos to be aware of when a customer is from Saudi Arabia and looking for traditional cuisine

[1148] A user uses smart glasses to capture a customer's voice and text, saying, "Hi, I'm from Saudi Arabia and I am looking for some traditional food." The server analyzes the visual and auditory data and notifies customers of Saudi Arabian culture not to serve pork or alcohol. Specific notifications are displayed on the smart glasses, such as "Do not serve pork to this customer" and "Do not serve alcoholic beverages to this customer."

[1149] This system allows users to respond quickly and accurately to customers from different cultures. An example of a specific prompt is, "When a customer says, 'I'm from Saudi Arabia and I'm looking for traditional food,' I will inform the store staff of the cultural taboos they should be aware of."

[1150] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1151] Step 1:

[1152] The smart glasses, which function as the terminal, capture visual and auditory data in real time through a camera and microphone. This data includes conversations and actions between customers and staff, as well as surrounding environmental sounds. Visual data input is images or videos, and auditory data input is audio. This data is the starting point for the system's processing.

[1153] Step 2:

[1154] The device preprocesses the acquired visual and auditory data. First, for the visual data, OpenCV is used to remove noise from the image and adjust the contrast. For the auditory data, the SpeechRecognition library is used to remove noise from the audio data. After preprocessing, the visual data becomes high-quality image data, and the auditory data becomes low-noise audio data. These preprocessed data are then sent to the next step.

[1155] Step 3:

[1156] The preprocessed visual and auditory data are sent by the terminal to a server, which receives these data and prepares them for subsequent analysis, where the input is the preprocessed visual and auditory data and the output is the data sent to the server.

[1157] Step 4:

[1158] The server applies image recognition algorithms to the received visual data to identify specific objects or scenes. For example, object recognition technology is used to identify the type of food or drink a customer is pointing at. The input is the preprocessed visual data, and the output is specific text data of the recognized object or scene.

[1159] Step 5:

[1160] The server applies a speech recognition algorithm to the received audio data and converts the audio to text data. It uses the SpeechRecognition library to convert the audio to text and optionally translates it using the googletrans library. The input is the preprocessed audio data and the output is the parsed text data.

[1161] Step 6:

[1162] The server integrates the analyzed visual and auditory data to determine the customer's cultural background. Specifically, it matches the results of the visual data analysis with the results of the auditory data analysis to reference information about specific cultures and religions. With this integration step, the input is the analyzed visual and auditory data, and the output is a determination of the customer's cultural background.

[1163] Step 7:

[1164] The server uses the integrated analysis results to detect taboos in specific cultures and religions, and generates specific warnings and advice, such as "Do not serve pork or alcohol to Muslims." The input is the judgment result about the customer's cultural background, and the output is objective text data of warnings and advice.

[1165] Step 8:

[1166] The server sends the generated warnings and advice to the device. The notifications are overlaid on the smartglasses display and provided to the user in real time. The input here is the text data of the warnings and advice, and the output is the transmission result to the device and the notification to the user.

[1167] Step 9:

[1168] The user, a store staff member, checks the notification displayed on the smart glasses and takes appropriate hospitality action. For example, providing food that requires halal certification or alcohol-free beverages. The input is the notification overlay, and the output is the appropriate hospitality action.

[1169] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1170] This invention relates to the "Intercultural Hospitality Checker," a system that takes into account the user's emotions and responds appropriately when entertaining guests from different cultures while avoiding cultural and religious taboos. This system uses smart glasses to acquire visual and auditory data, analyzes that information to detect cultural taboos, and combines it with an emotion engine that analyzes the user's emotional state.

[1171] 1. Data Collection

[1172] Device:

[1173] Visual data is acquired in real time using the smart glasses' camera. Auditory data, such as environmental sounds and conversation content, is also acquired using the smart glasses' microphone. The acquired data undergoes preprocessing, including noise removal and contrast adjustment. After preprocessing, the data is sent to the server.

[1174] 2. Data Analysis

[1175] server:

[1176] The server receives visual and auditory data sent from the device, applies image recognition algorithms to the visual data to identify specific objects and scenes, and applies speech recognition algorithms to the auditory data to convert it into text data. The results of the analyzed visual and auditory data are combined to determine whether the actions or objects provided by the user violate certain cultural or religious taboos.

[1177] 3. Emotion Recognition by Emotion Engine

[1178] server:

[1179] The server further analyzes the user's emotional state from the visual and auditory data using an emotion engine, which uses facial expression analysis algorithms and tone of voice analysis algorithms to identify the user's emotions (e.g., joy, anger, sadness, surprise, etc.).

[1180] 4. Identifying cultural taboos and regulating emotions

[1181] server:

[1182] The server then uses the analysis results to determine cultural or religious taboos, taking into account the user's emotional state. Additionally, if the user is feeling stressed, the server adjusts the content and timing of warnings and advice. For example, if the user is confused, the server displays a simple message.

[1183] 5. Notice to Users

[1184] Device:

[1185] The results are sent to the device and displayed as an overlay on the smartglasses display, allowing users to receive specific advice and warnings in real time.

[1186] User:

[1187] The user can check the results of the assessment and the emotion engine's analysis via the smart glasses. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" will be displayed. By following the displayed advice and warnings, the user can provide appropriate hospitality to the guest.

[1188] Specific examples

[1189] Example 1: Checking Halal Certified Food

[1190] Device:

[1191] The user looks at the food they are about to serve through smart glasses, the camera captures visual data of the food, and the microphone captures conversations.

[1192] server:

[1193] It analyzes the visual data of food to determine whether it is Halal certified. It also uses an emotion engine to analyze the user's facial expressions and tone of voice to determine their emotional state. If the result is "This food is Halal certified" and the user feels reassured, it sends the result to the device.

[1194] Device:

[1195] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[1196] User:

[1197] Check the displayed notice and serve food to guests with confidence.

[1198] Example 2: Serving alcohol

[1199] Device:

[1200] A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[1201] server:

[1202] The system analyzes the visual and audio data of the wine bottle to determine whether serving alcohol is prohibited based on the guest's cultural and religious background. It also uses an emotion engine to analyze the user's emotional state. If the result is "Alcohol is prohibited by this guest's religion" and the user is unsure, it displays simple advice.

[1203] Device:

[1204] A notification is overlaid on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[1205] User:

[1206] Check the notification and offer the guest an alternative non-alcoholic beverage.

[1207] As described above, this system uses visual and auditory data and an emotion engine to analyze and assist users in providing appropriate hospitality to guests from different cultures. This system minimizes the risk of violating cultural or religious taboos and allows for flexible responses based on the user's emotional state.

[1208] The processing flow will be explained below.

[1209] Step 1:

[1210] Device: The smart glasses' camera captures visual data in real time, capturing the objects and scenes the user is looking at and saving them as frames.

[1211] Step 2:

[1212] Device: The smart glasses' microphone collects auditory data in real time, capturing environmental sounds and conversations in real time and saving them as audio data.

[1213] Step 3:

[1214] Terminal: Preprocessing is performed on the acquired visual and auditory data. Specifically, noise filtering and contrast adjustment are performed on the visual data, and noise removal and volume adjustment are performed on the auditory data.

[1215] Step 4:

[1216] Terminal: Sends pre-processed data to the server using a secure communication protocol to prevent data loss or unauthorized access.

[1217] Step 5:

[1218] Server: Receives visual data sent from the device and temporarily stores it in storage, then applies image recognition algorithms to analyze the visual data and identify specific objects and scenes.

[1219] Step 6:

[1220] Server: Receives the audio data sent from the device and temporarily stores it in storage. It then applies a speech recognition algorithm to analyze the audio data and converts the audio content into text data.

[1221] Step 7:

[1222] Server: Combines the results of the visual and auditory analysis and uses the combined data to determine whether the object or action the user is about to submit violates certain cultural or religious taboos.

[1223] Step 8:

[1224] Server: Applying an emotion engine that analyzes the user's facial expressions and tone of voice based on visual and auditory data, specifically using facial expression analysis algorithms and tone of voice analysis algorithms to identify the user's emotions (e.g., joy, anger, sadness, surprise, etc.).

[1225] Step 9:

[1226] Server: Integrates the analysis results of the emotion engine to determine cultural or religious taboos that take into account the user's emotional state. For example, if the user is confused, it generates a more concise message.

[1227] Step 10:

[1228] Server: Uses decision logic to determine whether a particular action or offering violates cultural or religious taboos, and refers to the guest's cultural and religious background information, if necessary.

[1229] Step 11:

[1230] Server: Generates the verdict and creates an advice or warning message, for example, "This food is Halal certified" or "Do not serve alcohol to this guest."

[1231] Step 12:

[1232] Server: Sends the generated judgment results to the device, while paying attention to the safety and speed of communication.

[1233] Step 13:

[1234] Device: The judgment result received from the server is overlaid on the smartglasses display, and a message is displayed in an appropriate position so that the user can visually confirm it.

[1235] Step 14:

[1236] User: Check the overlay notification and take appropriate action, such as serving Halal-certified food or refraining from serving alcohol.

[1237] Example 2

[1238] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1239] When entertaining guests from different cultures, it is necessary to provide real-time advice and warnings that take into account the user's emotions while avoiding cultural and religious taboos. However, while existing systems focus on detecting taboos, they do not provide sufficient flexibility to take into account the user's emotional state. This poses a challenge in providing insufficient support for users to provide appropriate hospitality to guests.

[1240] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1241] In this invention, the server includes means for acquiring visual data, means for acquiring audio data, means for preprocessing the visual and audio data, means for transmitting the preprocessed data to the server, means for analyzing the data and detecting specific cultural or religious taboos, means for analyzing the user's emotional state using an emotion analysis engine, means for generating a warning or advice based on the analysis results, means for transmitting the warning or advice to the terminal, and means for overlaying the transmitted warning or advice, thereby enabling not only avoidance of cultural and religious taboos but also flexible responses according to the user's emotions.

[1242] "Visual data" refers to images and video information acquired using smart glasses, cameras, etc.

[1243] "Auditory data" refers to voice and environmental sounds acquired through a microphone or the like.

[1244] "Preprocessing" refers to performing initial processing such as noise removal and contrast adjustment on acquired data.

[1245] A "server" is a central processing system that receives data sent from a terminal and analyzes and processes it.

[1246] "Analysis" is the process of using algorithms and models to interpret acquired data and turn it into meaningful information.

[1247] A "cultural taboo" is an act or thing that is not permitted in a particular culture or religion.

[1248] An "emotion analysis engine" is an algorithm or software that analyzes visual and auditory data to identify a user's emotional state.

[1249] A "warning" is a notification or message that alerts the user.

[1250] "Advice" is advice or a recommendation for the user to take appropriate action.

[1251] "Overlay display" is a method of displaying information superimposed on the smart glasses display.

[1252] "Conformity" refers to the criteria for determining whether an action or thing is acceptable based on particular cultural or religious standards.

[1253] This invention relates to a system called "Intercultural Hospitality Checker" that takes into consideration the user's feelings and responds appropriately when entertaining guests from different cultures while avoiding cultural and religious taboos. An embodiment of the invention will be described below.

[1254] Data collection

[1255] Device:

[1256] The user wears smart glasses and uses them to capture visual and auditory data in real time. Visual data is captured through the smart glasses' camera, and auditory data is captured through the smart glasses' microphone. For example, when a user looks at a particular food item or starts a conversation with a guest, the smart glasses capture these scenes and sounds.

[1257] Data Preprocessing

[1258] Device:

[1259] The acquired visual and auditory data are then subjected to pre-processing such as noise reduction and contrast adjustment. The visual data is contrast adjusted to improve image clarity, while the auditory data is filtered to remove background noise.

[1260] Data transmission

[1261] Device:

[1262] Once pre-processed, the visual and auditory data is sent to the server in real time. This process is continuous, meaning that data is constantly being sent to the server while the user is using the device.

[1263] Image and Audio Analysis

[1264] server:

[1265] The server receives and analyzes the visual and auditory data sent from the device. It applies image recognition algorithms (e.g., YOLO, ResNet) to identify specific objects and scenes, and uses speech recognition algorithms (e.g., Google Cloud Speech-to-Text API) to convert the audio data into text. For example, it can identify the "Halal Certified" mark in a photo of a food package or convert the guest's speech into text.

[1266] Emotion analysis

[1267] server:

[1268] The server uses an emotion analysis engine (e.g., Microsoft Azure Emotion API) to analyze the user's emotional state from visual and auditory data, thereby identifying the user's emotions, such as joy, surprise, or stress.

[1269] Determining cultural taboos

[1270] server:

[1271] The server combines the results of image and audio analysis with sentiment analysis to determine specific cultural or religious taboos, such as whether a particular food item is Halal certified or whether a guest's religion prohibits alcohol.

[1272] User Notification

[1273] Device:

[1274] The server receives the results and advice, which are then overlaid on the smartglasses display, allowing users to receive specific advice and warnings in real time, such as a message saying, "This food is not Halal certified."

[1275] User:

[1276] Users can check the results of the assessment and emotion analysis sent through the smart glasses and follow the advice and warnings provided to them to provide appropriate hospitality to their guests. For example, if they receive a notification that alcohol is not permitted, they can serve non-alcoholic drinks.

[1277] Specific examples

[1278] Example 1: Checking Halal Certified Food

[1279] Device:

[1280] The smart glasses take a picture of the food the user is about to serve, and the camera captures visual data of the food, while the microphone records the conversation.

[1281] server:

[1282] The server analyzes the visual data of the food to determine whether it is Halal certified. It also uses an emotion analysis engine to analyze the user's facial expressions and tone of voice to determine the user's emotional state. If the result is "This food is Halal certified" and the user is satisfied, the result is sent to the device.

[1283] Device:

[1284] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[1285] User:

[1286] Check the displayed notice and serve food to guests with confidence.

[1287] Example 2: Serving alcohol

[1288] Device:

[1289] A user wants to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[1290] server:

[1291] The server analyzes the visual and audio data of the wine bottle to determine whether serving alcohol is prohibited based on the guest's cultural and religious background. It also analyzes the user's emotional state using a sentiment analysis engine. If the result is "Alcohol is prohibited by this guest's religion" and the user is unsure, it displays a brief advice.

[1292] Device:

[1293] A notification is overlaid on the smartglasses display, informing the user, "This guest's religion prohibits alcohol."

[1294] User:

[1295] Check the notification and offer the guest an alternative non-alcoholic beverage.

[1296] As described above, this system uses visual and auditory data and an emotion analysis engine to assist users in providing appropriate hospitality to guests from different cultures. This system minimizes the risk of violating cultural or religious taboos and allows for flexible responses based on the user's emotional state.

[1297] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1298] Step 1:

[1299] Data collection

[1300] Device:

[1301] Once the user puts on the smart glasses, visual and auditory data collection begins. Visual data is acquired in real time through the smart glasses' camera, and auditory data is acquired through the smart glasses' microphone. For example, when the user looks at food or initiates a conversation, these data are captured.

[1302] input:

[1303] The food and surroundings the user is looking at.

[1304] output:

[1305] Image data captured by the camera and audio data recorded by the microphone.

[1306] Specific behavior:

[1307] The camera continuously captures images and the microphone records audio.

[1308] Step 2:

[1309] Data Preprocessing

[1310] Device:

[1311] The acquired visual and auditory data are preprocessed using noise reduction and contrast adjustment. The visual data is contrast adjusted to improve image clarity, and the auditory data is filtered to remove background noise.

[1312] input:

[1313] The raw image and audio data captured.

[1314] output:

[1315] Processed data with noise removal and contrast adjustment.

[1316] Specific behavior:

[1317] Image processing algorithms are used to adjust image contrast and remove noise, and audio processing algorithms are used to remove environmental sounds.

[1318] Step 3:

[1319] Data transmission

[1320] Device:

[1321] The pre-processed visual and auditory data is then sent to a server in real time, and this process continues while the user is using the device.

[1322] input:

[1323] Preprocessed visual and auditory data.

[1324] output:

[1325] Preprocessed data sent to the server.

[1326] Specific behavior:

[1327] The data packets are sent over the Internet to a server.

[1328] Step 4:

[1329] Image and Audio Analysis

[1330] server:

[1331] The server receives the visual and auditory data sent from the device, uses image recognition algorithms to identify specific objects and scenes, and uses speech recognition algorithms to convert the audio into text data.

[1332] input:

[1333] Preprocessed visual and auditory data sent to the server.

[1334] output:

[1335] Text data as a result of image analysis and speech recognition.

[1336] Specific behavior:

[1337] The visual data is analyzed with image recognition algorithms to identify specific objects and scenes, while the auditory data is analyzed with speech recognition algorithms and converted into text data.

[1338] Step 5:

[1339] Emotion analysis

[1340] server:

[1341] The server uses the acquired visual and auditory data to run an emotion analysis engine to analyze the user's emotional state, including facial expression analysis and tone of voice analysis.

[1342] input:

[1343] Preprocessed and analyzed visual and auditory data.

[1344] output:

[1345] Identification of the user's emotional state.

[1346] Specific behavior:

[1347] Facial expression recognition algorithms are used to analyze the user's facial expressions, and tone of voice analysis algorithms are used to identify emotions.

[1348] Step 6:

[1349] Determining cultural taboos

[1350] server:

[1351] The results of image and audio analysis are used to determine certain cultural or religious taboos, including taking into account the user's emotional state.

[1352] input:

[1353] Image and audio analysis results and user sentiment analysis results.

[1354] output:

[1355] The results of determining cultural or religious taboos.

[1356] Specific behavior:

[1357] Based on specific criteria, the analysis results and emotional state are combined to determine whether or not a taboo exists.

[1358] Step 7:

[1359] User Notification

[1360] Device:

[1361] The system receives the judgment results and advice sent from the server and overlays them on the smart glasses display, notifying the user in real time.

[1362] input:

[1363] The results of the cultural taboo judgment and advice sent from the server.

[1364] output:

[1365] A notification message displayed on the smart glasses display.

[1366] Specific behavior:

[1367] Messages such as "This food is not halal certified" and "Do not serve alcohol to this guest" will appear on the smart glasses.

[1368] The user can check the results of the assessment and the analysis of the emotion engine through the smart glasses and take appropriate action to treat the guest, for example, by following instructions to avoid non-halal food or by offering non-alcoholic beverages.

[1369] (Application example 2)

[1370] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1371] Modern brick-and-mortar stores are required to provide appropriate customer service to customers of different cultures and religions. However, it is extremely difficult to understand cultural and religious taboos and grasp the emotional state of customers while providing service. This creates the risk of providing incorrect products or services, or causing customer dissatisfaction or confusion. Furthermore, there is also the issue of increased workloads for staff, which can prevent them from concentrating on their primary customer service duties.

[1372] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing visual data and auditory data to detect specific cultural or religious taboos, means for acquiring and analyzing emotional states, and means for recommending appropriate products and services to users based on the analysis results. This enables flexible and accurate customer service in brick-and-mortar stores that responds to customers' emotional states while avoiding cultural and religious taboos.

[1373] "Visual data" refers to video information captured in real time using visual sensors such as cameras in smart glasses.

[1374] "Auditory data" refers to information about speech and environmental sounds acquired through the microphone in smart glasses or other audio input devices.

[1375] "Preprocessing" refers to the process of performing initial processing such as noise removal and contrast adjustment on the acquired visual and auditory data.

[1376] The "server" is a central processing unit that analyzes the acquired data and manages the results.

[1377] A "cultural taboo" is an act that is considered forbidden or something that should be avoided in a particular cultural sphere.

[1378] A "religious taboo" is an act or thing that is forbidden in a particular religion.

[1379] "Emotional state" refers to a psychological state such as joy, anger, sadness, or surprise that is analyzed from the user's facial expression and tone of voice.

[1380] "Recommendation" means presenting appropriate products and services to users based on the analysis results.

[1381] "Overlay display" is a technology that displays information superimposed on the field of view of smart glasses.

[1382] "Analysis Algorithms" refers to the mathematical and statistical methods used to analyze the visual and auditory data.

[1383] A "warning" is information that alerts users when an action they are about to take is culturally or religiously inappropriate.

[1384] "Advice" is information that indicates appropriate actions or options that a user should take.

[1385] This invention is designed to assist customers in brick-and-mortar stores. The system uses smart glasses to capture real-time visual and auditory data, analyzes the data to detect cultural and religious taboos, and recommends appropriate products and services while taking into account the user's emotional state.

[1386] The server uses multiple data acquisition and analysis methods to provide highly accurate information.

[1387] First, the following hardware is used:

[1388] Smart glasses (e.g. Google Glass)

[1389] Camera and microphone built into smart glasses

[1390] The following software is used:

[1391] Image processing library (e.g. OpenCV)

[1392] Pre-trained models (e.g., object recognition models using TensorFlow)

[1393] Speech recognition engine (e.g. Google Cloud Speech-to-Text)

[1394] Emotion analysis API (e.g. EmotionAPI)

[1395] When a user wears the smart glasses, visual and auditory data are collected in real time. The collected data is first preprocessed. Visual data is converted to grayscale using OpenCV, and noise is removed and contrast is adjusted. Auditory data is converted to text using a speech recognition engine.

[1396] The server receives the acquired and preprocessed data, applies object recognition algorithms using TensorFlow to the visual data to identify specific objects and scenes, and applies sentiment analysis APIs to the auditory data to analyze the user's emotional state from their tone of voice and word choice.

[1397] The analysis results are integrated to determine whether taboos exist based on cultural and religious backgrounds, and the emotional state is taken into account when recommending appropriate products and services. For example, if the system determines that a user is confused, it will provide concise and clear advice.

[1398] This allows users to always provide appropriate customer service and avoid providing incorrect products or services. For example, it can recommend meat-free menu items to vegetarian customers, avoiding cultural and religious taboos.

[1399] For example, you might use the following prompt:

[1400] "Use the Cross-Cultural Hospitality Checker to show your system how to accommodate vegetarian customers."

[1401] In this way, the present invention is a system that provides customer service support that takes into account the emotional state of the user while avoiding cross-cultural and cross-religious taboos, based on the acquisition and analysis of visual and auditory data.

[1402] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1403] Step 1:

[1404] The user puts on the smart glasses and begins acquiring visual and auditory data. The camera built into the smart glasses acquires images of the environment (visual data) in real time, and the microphone captures audio (auditory data). The acquired visual data is the video stream from the camera, and the auditory data is audio waveform data.

[1405] Step 2:

[1406] Preprocessing is performed on the device. Visual data is converted to grayscale using OpenCV, and image noise is removed and contrast is adjusted. This improves image quality and increases analysis accuracy. Auditory data is converted to text using a speech recognition engine. This conversion processes the audio data into a format (text data) suitable for analysis.

[1407] Step 3:

[1408] The preprocessed visual and auditory data is sent to a server. The device uploads the data to the server via the internet and prepares it for analysis. The sent data includes noise-removed image data and text-converted audio data.

[1409] Step 4:

[1410] The server analyzes the transmitted data. It applies object recognition algorithms using TensorFlow to the visual data to identify specific objects and scenes. For example, it identifies food and beverages in the visual data. It also applies an emotion analysis API to the auditory data to analyze the emotional state from the resulting text. Analysis includes facial expression analysis and tone analysis of the voice.

[1411] Step 5:

[1412] The server integrates the analysis results. It combines the object recognition results from the visual data and the emotion analysis results from the auditory data to generate a single comprehensive analysis result. For example, it determines whether a particular food item is halal or whether the customer is confused.

[1413] Step 6:

[1414] Based on the analysis results, the server determines certain cultural or religious taboos and recommends appropriate products and services to the user. It also generates warnings and advice based on the analysis results, such as "This food is Halal certified" or "Do not serve alcohol to this guest."

[1415] Step 7:

[1416] The generated analysis results and recommendations are sent to the device. The server then sends the analysis results and warning / advice messages to the device in real time, preparing them for delivery to the user.

[1417] Step 8:

[1418] The analysis results are overlaid on the device, and the analysis results and warning messages sent are overlaid on the smart glasses display, allowing users to receive specific advice and warnings in real time and take appropriate action.

[1419] Step 9:

[1420] Users can check the displayed analysis results and warnings / advice and adjust their actions accordingly. For example, by following the displayed messages, users can provide halal-certified food and avoid serving alcohol, thereby providing appropriate hospitality to customers from different cultures.

[1421] The above is the specific processing flow of the system that realizes this application example.

[1422] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1423] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1424] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1425] [Fourth embodiment]

[1426] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1427] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1428] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1429] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1430] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1431] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1432] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1433] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1434] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1435] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1436] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1437] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1438] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1439] This invention is a system called the "Intercultural Hospitality Checker" that supports people in taking appropriate actions based on their cultural background when hosting people from different cultures. The system uses smart glasses to acquire visual and auditory information, detects taboos in specific cultures or religions, and presents the results to the user.

[1440] 1. Data Collection

[1441] Device:

[1442] The smart glasses' camera is used to capture visual data in real time. The smart glasses' microphone is also used to capture auditory data such as environmental sounds and conversation content. This data undergoes pre-processing to remove noise and adjust image contrast. After pre-processing, the data is sent to a server.

[1443] 2. Data Analysis

[1444] server:

[1445] The server receives visual and auditory data sent from the device. It applies image recognition algorithms to the visual data to identify specific objects (e.g., food and drink) and scenes. It applies voice recognition algorithms to the auditory data to convert the content of conversations and keywords into text data. This allows the visual and auditory information to be analyzed.

[1446] After obtaining the analysis results, the server aggregates these results and determines whether the actions or items provided by the user violate certain cultural or religious taboos, such as not serving pork or alcohol to Muslims.

[1447] 3. Identifying Cultural Taboos

[1448] server:

[1449] Based on the analyzed visual and auditory data, the system determines suitability for guests with specific cultural or religious backgrounds, taking into account the cultural and religious information of the guest specified in advance by the user, such as "Halal certification required" or "Alcohol prohibited."

[1450] Based on the analysis results, the server detects cultural taboos and points of caution and generates a judgment result to inform the user.

[1451] 4. Notice to Users

[1452] Device:

[1453] The results are sent to the device and displayed as an overlay on the smartglasses display, allowing users to receive specific advice and warnings in real time.

[1454] User:

[1455] The user can check the results of the assessment through the smart glasses. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" will be displayed. The user can follow the displayed advice and warnings to provide appropriate hospitality to the guest.

[1456] Specific examples

[1457] Example 1: Checking Halal Certified Food

[1458] Device:

[1459] The user looks at the food they are about to serve through smart glasses, the camera captures visual data of the food, and the microphone captures conversations.

[1460] server:

[1461] The system analyzes the visual data of the food and determines whether it is Halal certified. It also checks the necessary keywords from the audio data. If the result is "This food is Halal certified," it sends that information to the device.

[1462] Device:

[1463] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[1464] User:

[1465] Check the displayed notice and serve food to guests with confidence.

[1466] Example 2: Serving alcohol

[1467] Device:

[1468] A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[1469] server:

[1470] The visual data of the wine bottle is analyzed to check for the keyword "wine." Based on the cultural and religious background of the guest, it is determined whether serving alcohol is prohibited. If the result is "This guest's religion prohibits alcohol," it is sent to the terminal.

[1471] Device:

[1472] A notification is overlaid on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[1473] User:

[1474] Check the notification and offer the guest an alternative non-alcoholic beverage.

[1475] As described above, this system assists users in providing appropriate hospitality to guests from different cultures through the acquisition and analysis of visual and auditory data, thereby minimizing the risk of violating cultural or religious taboos.

[1476] The processing flow will be explained below.

[1477] Step 1:

[1478] Device: The smart glasses' camera captures visual data in real time, capturing the objects and scenes the user is looking at and saving them as frames.

[1479] Step 2:

[1480] Device: The smart glasses' microphone collects auditory data in real time, capturing environmental sounds and conversations in real time and saving them as audio data.

[1481] Step 3:

[1482] Terminal: Preprocessing is performed on the acquired visual and auditory data. Specifically, noise filtering and contrast adjustment are performed on the visual data, and noise removal and volume adjustment are performed on the auditory data.

[1483] Step 4:

[1484] Terminal: Sends pre-processed data to the server using a secure communication protocol to prevent data loss or unauthorized access.

[1485] Step 5:

[1486] Server: Receives visual data sent from the device and temporarily stores it in storage, then applies image recognition algorithms to analyze the visual data and identify specific objects and scenes.

[1487] Step 6:

[1488] Server: Receives the audio data sent from the device and temporarily stores it in storage. It then applies a speech recognition algorithm to analyze the audio data and converts the audio content into text data.

[1489] Step 7:

[1490] Server: Combines the results of the analysis of visual and auditory data to determine whether the object or action the user is about to submit violates certain cultural or religious taboos.

[1491] Step 8:

[1492] Server: Uses decision logic to determine whether a particular action or offering is taboo, and refers to the guest's cultural and religious background information, if necessary.

[1493] Step 9:

[1494] Server: Generates the verdict and creates appropriate advice or warning messages, such as "This food is Halal certified" or "Do not serve alcohol to this guest."

[1495] Step 10:

[1496] Server: Sends the generated judgment results to the device, while paying attention to the safety and speed of communication.

[1497] Step 11:

[1498] Device: The judgment result received from the server is overlaid on the smartglasses display, and a message is displayed in an appropriate position so that the user can visually confirm it.

[1499] Step 12:

[1500] User: Check the overlay notification and take appropriate action, such as serving Halal-certified food or refraining from serving alcohol.

[1501] Example 1

[1502] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1503] When hosting people from different cultures, it is difficult to behave appropriately based on their cultural background. In particular, there is a risk of unconsciously violating religious taboos or cultural prohibitions, which could lead to trouble. To solve this problem, a system that provides accurate information in real time is needed.

[1504] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1505] In this invention, the server includes means for acquiring visual data, means for acquiring audio data, means for preprocessing the visual and audio data, means for transmitting the preprocessed data to the server, means for analyzing the data and detecting specific cultural or religious taboos, means for referencing cultural and religious information of guests designated in advance by the user, means for determining suitability for guests with specific cultural or religious backgrounds based on the analyzed visual and audio data, means for transmitting the detection results to the terminal, and means for overlaying and displaying the detection results, thereby enabling appropriate hospitality for guests from different cultures.

[1506] "Visual data" refers to image information acquired through a visual sensor such as a camera.

[1507] "Auditory data" refers to audio information acquired through an audio sensor such as a microphone.

[1508] "Preprocessing" refers to the process of performing initial processing such as noise removal and contrast adjustment on the acquired visual and auditory data.

[1509] "Server" refers to a centralized processing device that receives, analyzes, and determines visual and auditory data.

[1510] "Analysis" refers to the process of extracting meaningful information from visual and auditory data and applying algorithms to determine certain taboos and relevance.

[1511] A "cultural or religious taboo" is an action or object that is prohibited in a particular culture or religion.

[1512] The "user" is the person who operates the system and entertains guests from different cultures.

[1513] "Overlay display" refers to a method of displaying information superimposed on the screen of a display device such as smart glasses.

[1514] "Compatibility" refers to the criteria for assessing appropriateness to particular cultural or religious rules.

[1515] "Notification" refers to a message that informs the user of the analysis results or judgment results.

[1516] A "guest" is a person who is entertained by a user of the system.

[1517] This invention is a system called the "Intercultural Hospitality Checker" that supports people in taking appropriate actions based on their cultural background when hosting people from different cultures. The system uses smart glasses to acquire visual and auditory information, detects taboos in specific cultures or religions, and presents the results to the user.

[1518] The following hardware and software are required to implement this system. First, the smart glasses are equipped with a camera to acquire visual data and a microphone to acquire auditory data. Image data acquired from the camera and audio data acquired from the microphone are preprocessed on the device. Preprocessing includes, for example, noise removal and image contrast adjustment using the OpenCV library. Audio filtering technology is used to preprocess the auditory data.

[1519] Once preprocessed, the data is sent from the device to the server. This communication uses the HTTPS protocol to ensure security. The server applies image recognition algorithms to the received visual data, using TensorFlow or Google Cloud Vision API, for example, to identify objects such as food and drinks and scenes. At the same time, it performs speech recognition on the auditory data using the Google Speech-to-Text API or similar, converting the conversation into text data.

[1520] The server determines suitability for guests with specific cultural or religious backgrounds based on the analyzed visual and auditory data, referring to the cultural and religious information of the guest specified in advance by the user, such as "halal certification required" or "alcohol prohibited." Based on the analysis results, the server detects specific cultural taboos and points of caution and generates a result.

[1521] The results are then sent back to the device and displayed as an overlay on the smart glasses display. This allows users to receive specific advice and warnings in real time. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" can be displayed. Users can review these and take appropriate action.

[1522] Specific examples

[1523] Example 1: Checking Halal Certified Food

[1524] Device: The user looks at the food they are about to serve (e.g., a kebab) through smart glasses. The camera captures visual data of the food, and the microphone collects conversations.

[1525] Server: Analyzes visual data to determine whether the food is Halal certified. Also checks for the keyword "Halal" in the audio data. If the result is "This food is Halal certified," it sends that information to the device.

[1526] On the device: A notification will be overlaid on the smartglasses display informing the user that "This food is Halal certified."

[1527] User: Check the notification and serve food to guests with confidence.

[1528] Example 2: Serving alcohol

[1529] Device: A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone collects the word "wine."

[1530] Server: Analyzes visual data and recognizes the keyword "wine." Determines whether serving alcohol is prohibited based on the guest's cultural and religious background. If the result is "This guest's religion prohibits alcohol," it sends that information to the device.

[1531] Device: A notification overlay appears on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[1532] User: Confirm the notification and offer the guest a non-alcoholic beverage instead.

[1533] Prompt Sentence Examples

[1534] "What is the process for ensuring that guests from a certain country are not subject to cultural taboos when it comes to food and drink?"

[1535] As described above, this system helps users provide appropriate hospitality to guests from different cultures by capturing and analyzing visual and auditory data, minimizing the risk of violating cultural or religious taboos.

[1536] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1537] Step 1:

[1538] Data collection

[1539] Device: The smart glasses' camera captures visual data, while the microphone simultaneously captures auditory data. Specifically, the camera captures images of the food or drink the guest is about to eat, and the microphone collects their conversation.

[1540] Input: visual data of food and drink, auditory data of conversation

[1541] Output: Image data captured by the camera, audio data collected by the microphone

[1542] Step 2:

[1543] Data Preprocessing

[1544] On the device: The acquired visual data contains noise, so we use image processing algorithms to remove it. Specifically, we use the OpenCV library to adjust the contrast of the image and detect edges. We also apply noise filtering to the auditory data to remove background sounds.

[1545] Input: Image data captured by a camera, audio data collected by a microphone

[1546] Output: Noise-removed image data, noise-filtered audio data

[1547] Step 3:

[1548] Sending data

[1549] Terminal: The pre-processed data is sent to the server using a secure communication protocol (e.g., HTTPS) to ensure the safety of the data.

[1550] Input: Noise-removed image data, noise-filtered audio data

[1551] Output: Data sent to the server

[1552] Step 4:

[1553] Data analysis

[1554] Server: Apply image recognition algorithms (e.g., TensorFlow or Google Cloud Vision API) to the received visual data to recognize specific objects and scenes, such as identifying food, drink, or religious symbols. At the same time, apply speech recognition algorithms (e.g., Google Speech-to-Text API) to the auditory data to convert the audio into text data.

[1555] Input: Data sent to the server

[1556] Output: Analyzed objects and scenes, audio data converted to text

[1557] Step 5:

[1558] Determining cultural taboos

[1559] Server: Based on the analysis results, the server determines suitability based on the guest's cultural or religious background. For example, it checks whether the restaurant serves pork or alcohol to Muslims. In this case, it refers to the guest's cultural and religious information specified in advance by the user.

[1560] Specifically, the server compares the analyzed data and determines whether any relevant cultural or religious taboos exist.

[1561] Input: Analyzed objects and scenes, cultural and religious information of guests

[1562] Output: Cultural taboo judgment result

[1563] Step 6:

[1564] User Notification

[1565] Server: Sends the result of the judgment to the terminal. This process also uses a secure communication protocol (e.g., HTTPS).

[1566] Input: Cultural taboo judgment results

[1567] Output: Verification result sent to the terminal

[1568] Device: The result of the assessment is displayed as an overlay on the smart glasses display, specifically visually displaying messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest."

[1569] Input: Verification result sent from the server

[1570] Output: Overlaid notification

[1571] User: Review notifications on smart glasses and take culturally appropriate actions to accommodate guests, including adjusting food and beverage offerings based on advice and warnings.

[1572] Input: Overlaid notification

[1573] Output: Adjust your actions appropriately and provide the service to your guests.

[1574] (Application example 1)

[1575] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1576] In order to provide appropriate hospitality to customers of different cultures, store staff need to be able to understand cultural taboos and prohibitions in real time, but current methods make it difficult to do this quickly and accurately. Furthermore, it is difficult to efficiently collect information about diverse cultures and religions and provide practical advice. This often results in inadequate cross-cultural response, creating a high risk of damaging customer satisfaction.

[1577] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1578] In this invention, the server includes a means for transmitting visual and auditory data to the server, a means for analyzing the data to determine the cultural background of the customer, and a means for detecting taboos in specific cultures or religions and notifying the user of them, thereby enabling prompt and appropriate responses to customers from different cultures.

[1579] "Visual Data" refers to image or video information captured through the camera of the smart glasses.

[1580] "Auditory data" refers to information about voice and environmental sounds acquired through the microphone in smart glasses.

[1581] "Preprocessing" refers to the process of removing noise and filtering the acquired visual and auditory data.

[1582] "Server" refers to a computer system for receiving and analyzing the acquired visual and auditory data.

[1583] "Analysis" refers to the process of performing image recognition from visual data and speech recognition from auditory data to make specific cultural or religious judgments.

[1584] "Cultural background" refers to the totality of customs, practices, beliefs, etc. based on a particular region or religion.

[1585] A "taboo" is an action or thing that is forbidden in a particular culture or religion.

[1586] "Notification" refers to presenting warnings and advice to users based on the analysis results.

[1587] "Device" means a device worn or used by a user, such as smart glasses or a smartphone.

[1588] "Overlay display" refers to a technology that displays other visual information superimposed on the smart glasses display.

[1589] A "generative AI model" is a machine learning algorithm that is trained to perform a specific task based on large amounts of data.

[1590] A "prompt sentence" is an input sentence that causes a generative AI model to generate specific information.

[1591] "Integration" refers to the process of combining the results of visual data analysis and the results of auditory data analysis into a single criterion.

[1592] A "warning" is a message displayed to alert the user.

[1593] "Advice" means advice provided to a User for appropriate action.

[1594] This invention is a system that allows store staff wearing smart glasses to understand cultural taboos and prohibitions in real time in order to provide appropriate hospitality to customers from different cultures. The system provides specific advice and warnings to users through the acquisition and analysis of visual and auditory data.

[1595] Hardware and software used

[1596] Hardware:

[1597] Smart glasses (with built-in camera and microphone)

[1598] Server (for data processing)

[1599] software:

[1600] OpenCV: Used to acquire and preprocess visual data.

[1601] SpeechRecognition library: Used to acquire and analyze auditory data.

[1602] googletrans library: Used to translate auditory data.

[1603] requests library: Used to communicate with the server.

[1604] System processing overview

[1605] Data collection

[1606] Using smart glasses as a terminal, visual and auditory data is acquired in real time through a camera and microphone, and in this step, interactions and actions of customers and staff are recorded in a real store environment.

[1607] Data Preprocessing and Transmission

[1608] The visual and auditory data acquired at the terminal undergoes noise removal and necessary pre-processing, after which the pre-processed data is sent to the server.

[1609] Data analysis and judgment

[1610] The server analyzes the received visual and auditory data, applying image recognition algorithms to the visual data to identify specific objects and scenes, and speech recognition algorithms to the auditory data to convert the conversation into text. The results of the analysis are then combined to determine the customer's cultural background and detect any taboos or prohibitions within a particular culture or religion.

[1611] User Notification

[1612] The results and advice generated by the server are sent to the device and displayed as an overlay on the smartglasses display, allowing the staff user to obtain the necessary information in real time and provide appropriate hospitality to customers from different cultures.

[1613] Specific examples

[1614] Example 1: Taboos to be aware of when a customer is from Saudi Arabia and looking for traditional cuisine

[1615] A user uses smart glasses to capture a customer's voice and text, saying, "Hi, I'm from Saudi Arabia and I am looking for some traditional food." The server analyzes the visual and auditory data and notifies customers of Saudi Arabian culture not to serve pork or alcohol. Specific notifications are displayed on the smart glasses, such as "Do not serve pork to this customer" and "Do not serve alcoholic beverages to this customer."

[1616] This system allows users to respond quickly and accurately to customers from different cultures. An example of a specific prompt is, "When a customer says, 'I'm from Saudi Arabia and I'm looking for traditional food,' I will inform the store staff of the cultural taboos they should be aware of."

[1617] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1618] Step 1:

[1619] The smart glasses, which function as the terminal, capture visual and auditory data in real time through a camera and microphone. This data includes conversations and actions between customers and staff, as well as surrounding environmental sounds. Visual data input is images or videos, and auditory data input is audio. This data is the starting point for the system's processing.

[1620] Step 2:

[1621] The device preprocesses the acquired visual and auditory data. First, for the visual data, OpenCV is used to remove noise from the image and adjust the contrast. For the auditory data, the SpeechRecognition library is used to remove noise from the audio data. After preprocessing, the visual data becomes high-quality image data, and the auditory data becomes low-noise audio data. These preprocessed data are then sent to the next step.

[1622] Step 3:

[1623] The preprocessed visual and auditory data are sent by the terminal to a server, which receives these data and prepares them for subsequent analysis, where the input is the preprocessed visual and auditory data and the output is the data sent to the server.

[1624] Step 4:

[1625] The server applies image recognition algorithms to the received visual data to identify specific objects or scenes. For example, object recognition technology is used to identify the type of food or drink a customer is pointing at. The input is the preprocessed visual data, and the output is specific text data of the recognized object or scene.

[1626] Step 5:

[1627] The server applies a speech recognition algorithm to the received audio data and converts the audio to text data. It uses the SpeechRecognition library to convert the audio to text and optionally translates it using the googletrans library. The input is the preprocessed audio data and the output is the parsed text data.

[1628] Step 6:

[1629] The server integrates the analyzed visual and auditory data to determine the customer's cultural background. Specifically, it matches the results of the visual data analysis with the results of the auditory data analysis to reference information about specific cultures and religions. With this integration step, the input is the analyzed visual and auditory data, and the output is a determination of the customer's cultural background.

[1630] Step 7:

[1631] The server uses the integrated analysis results to detect taboos in specific cultures and religions, and generates specific warnings and advice, such as "Do not serve pork or alcohol to Muslims." The input is the judgment result about the customer's cultural background, and the output is objective text data of warnings and advice.

[1632] Step 8:

[1633] The server sends the generated warnings and advice to the device. The notifications are overlaid on the smartglasses display and provided to the user in real time. The input here is the text data of the warnings and advice, and the output is the transmission result to the device and the notification to the user.

[1634] Step 9:

[1635] The user, a store staff member, checks the notification displayed on the smart glasses and takes appropriate hospitality action. For example, providing food that requires halal certification or alcohol-free beverages. The input is the notification overlay, and the output is the appropriate hospitality action.

[1636] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1637] This invention relates to the "Intercultural Hospitality Checker," a system that takes into account the user's emotions and responds appropriately when entertaining guests from different cultures while avoiding cultural and religious taboos. This system uses smart glasses to acquire visual and auditory data, analyzes that information to detect cultural taboos, and combines it with an emotion engine that analyzes the user's emotional state.

[1638] 1. Data Collection

[1639] Device:

[1640] Visual data is acquired in real time using the smart glasses' camera. Auditory data, such as environmental sounds and conversation content, is also acquired using the smart glasses' microphone. The acquired data undergoes preprocessing, including noise removal and contrast adjustment. After preprocessing, the data is sent to the server.

[1641] 2. Data Analysis

[1642] server:

[1643] The server receives visual and auditory data sent from the device, applies image recognition algorithms to the visual data to identify specific objects and scenes, and applies speech recognition algorithms to the auditory data to convert it into text data. The results of the analyzed visual and auditory data are combined to determine whether the actions or objects provided by the user violate certain cultural or religious taboos.

[1644] 3. Emotion Recognition by Emotion Engine

[1645] server:

[1646] The server further analyzes the user's emotional state from the visual and auditory data using an emotion engine, which uses facial expression analysis algorithms and tone of voice analysis algorithms to identify the user's emotions (e.g., joy, anger, sadness, surprise, etc.).

[1647] 4. Identifying cultural taboos and regulating emotions

[1648] server:

[1649] The server then uses the analysis results to determine cultural or religious taboos, taking into account the user's emotional state. Additionally, if the user is feeling stressed, the server adjusts the content and timing of warnings and advice. For example, if the user is confused, the server displays a simple message.

[1650] 5. Notice to Users

[1651] Device:

[1652] The results are sent to the device and displayed as an overlay on the smartglasses display, allowing users to receive specific advice and warnings in real time.

[1653] User:

[1654] The user can check the results of the assessment and the emotion engine's analysis via the smart glasses. For example, messages such as "This food is not Halal certified" or "Do not serve alcohol to this guest" will be displayed. By following the displayed advice and warnings, the user can provide appropriate hospitality to the guest.

[1655] Specific examples

[1656] Example 1: Checking Halal Certified Food

[1657] Device:

[1658] The user looks at the food they are about to serve through smart glasses, the camera captures visual data of the food, and the microphone captures conversations.

[1659] server:

[1660] It analyzes the visual data of food to determine whether it is Halal certified. It also uses an emotion engine to analyze the user's facial expressions and tone of voice to determine their emotional state. If the result is "This food is Halal certified" and the user feels reassured, it sends the result to the device.

[1661] Device:

[1662] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[1663] User:

[1664] Check the displayed notice and serve food to guests with confidence.

[1665] Example 2: Serving alcohol

[1666] Device:

[1667] A user is about to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[1668] server:

[1669] The system analyzes the visual and audio data of the wine bottle to determine whether serving alcohol is prohibited based on the guest's cultural and religious background. It also uses an emotion engine to analyze the user's emotional state. If the result is "Alcohol is prohibited by this guest's religion" and the user is unsure, it displays simple advice.

[1670] Device:

[1671] A notification is overlaid on the smartglasses display informing the user, "This guest's religion prohibits alcohol."

[1672] User:

[1673] Check the notification and offer the guest an alternative non-alcoholic beverage.

[1674] As described above, this system uses visual and auditory data and an emotion engine to analyze and assist users in providing appropriate hospitality to guests from different cultures. This system minimizes the risk of violating cultural or religious taboos and allows for flexible responses based on the user's emotional state.

[1675] The processing flow will be explained below.

[1676] Step 1:

[1677] Device: The smart glasses' camera captures visual data in real time, capturing the objects and scenes the user is looking at and saving them as frames.

[1678] Step 2:

[1679] Device: The smart glasses' microphone collects auditory data in real time, capturing environmental sounds and conversations in real time and saving them as audio data.

[1680] Step 3:

[1681] Terminal: Preprocessing is performed on the acquired visual and auditory data. Specifically, noise filtering and contrast adjustment are performed on the visual data, and noise removal and volume adjustment are performed on the auditory data.

[1682] Step 4:

[1683] Terminal: Sends pre-processed data to the server using a secure communication protocol to prevent data loss or unauthorized access.

[1684] Step 5:

[1685] Server: Receives visual data sent from the device and temporarily stores it in storage, then applies image recognition algorithms to analyze the visual data and identify specific objects and scenes.

[1686] Step 6:

[1687] Server: Receives the audio data sent from the device and temporarily stores it in storage. It then applies a speech recognition algorithm to analyze the audio data and converts the audio content into text data.

[1688] Step 7:

[1689] Server: Combines the results of the visual and auditory analysis and uses the combined data to determine whether the object or action the user is about to submit violates certain cultural or religious taboos.

[1690] Step 8:

[1691] Server: Applying an emotion engine that analyzes the user's facial expressions and tone of voice based on visual and auditory data, specifically using facial expression analysis algorithms and tone of voice analysis algorithms to identify the user's emotions (e.g., joy, anger, sadness, surprise, etc.).

[1692] Step 9:

[1693] Server: Integrates the analysis results of the emotion engine to determine cultural or religious taboos that take into account the user's emotional state. For example, if the user is confused, it generates a more concise message.

[1694] Step 10:

[1695] Server: Uses decision logic to determine whether a particular action or offering violates cultural or religious taboos, and refers to the guest's cultural and religious background information, if necessary.

[1696] Step 11:

[1697] Server: Generates the verdict and creates an advice or warning message, for example, "This food is Halal certified" or "Do not serve alcohol to this guest."

[1698] Step 12:

[1699] Server: Sends the generated judgment results to the device, while paying attention to the safety and speed of communication.

[1700] Step 13:

[1701] Device: The judgment result received from the server is overlaid on the smartglasses display, and a message is displayed in an appropriate position so that the user can visually confirm it.

[1702] Step 14:

[1703] User: Check the overlay notification and take appropriate action, such as serving Halal-certified food or refraining from serving alcohol.

[1704] Example 2

[1705] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1706] When entertaining guests from different cultures, it is necessary to provide real-time advice and warnings that take into account the user's emotions while avoiding cultural and religious taboos. However, while existing systems focus on detecting taboos, they do not provide sufficient flexibility to take into account the user's emotional state. This poses a challenge in providing insufficient support for users to provide appropriate hospitality to guests.

[1707] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1708] In this invention, the server includes means for acquiring visual data, means for acquiring audio data, means for preprocessing the visual and audio data, means for transmitting the preprocessed data to the server, means for analyzing the data and detecting specific cultural or religious taboos, means for analyzing the user's emotional state using an emotion analysis engine, means for generating a warning or advice based on the analysis results, means for transmitting the warning or advice to the terminal, and means for overlaying the transmitted warning or advice, thereby enabling not only avoidance of cultural and religious taboos but also flexible responses according to the user's emotions.

[1709] "Visual data" refers to images and video information acquired using smart glasses, cameras, etc.

[1710] "Auditory data" refers to voice and environmental sounds acquired through a microphone or the like.

[1711] "Preprocessing" refers to performing initial processing such as noise removal and contrast adjustment on acquired data.

[1712] A "server" is a central processing system that receives data sent from a terminal and analyzes and processes it.

[1713] "Analysis" is the process of using algorithms and models to interpret acquired data and turn it into meaningful information.

[1714] A "cultural taboo" is an act or thing that is not permitted in a particular culture or religion.

[1715] An "emotion analysis engine" is an algorithm or software that analyzes visual and auditory data to identify a user's emotional state.

[1716] A "warning" is a notification or message that alerts the user.

[1717] "Advice" is advice or a recommendation for the user to take appropriate action.

[1718] "Overlay display" is a method of displaying information superimposed on the smart glasses display.

[1719] "Conformity" refers to the criteria for determining whether an action or thing is acceptable based on particular cultural or religious standards.

[1720] This invention relates to a system called "Intercultural Hospitality Checker" that takes into consideration the user's feelings and responds appropriately when entertaining guests from different cultures while avoiding cultural and religious taboos. An embodiment of the invention will be described below.

[1721] Data collection

[1722] Device:

[1723] The user wears smart glasses and uses them to capture visual and auditory data in real time. Visual data is captured through the smart glasses' camera, and auditory data is captured through the smart glasses' microphone. For example, when a user looks at a particular food item or starts a conversation with a guest, the smart glasses capture these scenes and sounds.

[1724] Data Preprocessing

[1725] Device:

[1726] The acquired visual and auditory data are then subjected to pre-processing such as noise reduction and contrast adjustment. The visual data is contrast adjusted to improve image clarity, while the auditory data is filtered to remove background noise.

[1727] Data transmission

[1728] Device:

[1729] Once pre-processed, the visual and auditory data is sent to the server in real time. This process is continuous, meaning that data is constantly being sent to the server while the user is using the device.

[1730] Image and Audio Analysis

[1731] server:

[1732] The server receives and analyzes the visual and auditory data sent from the device. It applies image recognition algorithms (e.g., YOLO, ResNet) to identify specific objects and scenes, and uses speech recognition algorithms (e.g., Google Cloud Speech-to-Text API) to convert the audio data into text. For example, it can identify the "Halal Certified" mark in a photo of a food package or convert the guest's speech into text.

[1733] Emotion analysis

[1734] server:

[1735] The server uses an emotion analysis engine (e.g., Microsoft Azure Emotion API) to analyze the user's emotional state from visual and auditory data, thereby identifying the user's emotions, such as joy, surprise, or stress.

[1736] Determining cultural taboos

[1737] server:

[1738] The server combines the results of image and audio analysis with sentiment analysis to determine specific cultural or religious taboos, such as whether a particular food item is Halal certified or whether a guest's religion prohibits alcohol.

[1739] User Notification

[1740] Device:

[1741] The server receives the results and advice, which are then overlaid on the smartglasses display, allowing users to receive specific advice and warnings in real time, such as a message saying, "This food is not Halal certified."

[1742] User:

[1743] Users can check the results of the assessment and emotion analysis sent through the smart glasses and follow the advice and warnings provided to them to provide appropriate hospitality to their guests. For example, if they receive a notification that alcohol is not permitted, they can serve non-alcoholic drinks.

[1744] Specific examples

[1745] Example 1: Checking Halal Certified Food

[1746] Device:

[1747] The smart glasses take a picture of the food the user is about to serve, and the camera captures visual data of the food, while the microphone records the conversation.

[1748] server:

[1749] The server analyzes the visual data of the food to determine whether it is Halal certified. It also uses an emotion analysis engine to analyze the user's facial expressions and tone of voice to determine the user's emotional state. If the result is "This food is Halal certified" and the user is satisfied, the result is sent to the device.

[1750] Device:

[1751] A notification is overlaid on the smartglasses display, informing the user that "this food is halal certified."

[1752] User:

[1753] Check the displayed notice and serve food to guests with confidence.

[1754] Example 2: Serving alcohol

[1755] Device:

[1756] A user wants to serve wine to a guest. The camera in the smart glasses captures visual data of the wine bottle, and the microphone captures the word "wine."

[1757] server:

[1758] The server analyzes the visual and audio data of the wine bottle to determine whether serving alcohol is prohibited based on the guest's cultural and religious background. It also analyzes the user's emotional state using a sentiment analysis engine. If the result is "Alcohol is prohibited by this guest's religion" and the user is unsure, it displays a brief advice.

[1759] Device:

[1760] A notification is overlaid on the smartglasses display, informing the user, "This guest's religion prohibits alcohol."

[1761] User:

[1762] Check the notification and offer the guest an alternative non-alcoholic beverage.

[1763] As described above, this system uses visual and auditory data and an emotion analysis engine to assist users in providing appropriate hospitality to guests from different cultures. This system minimizes the risk of violating cultural or religious taboos and allows for flexible responses based on the user's emotional state.

[1764] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1765] Step 1:

[1766] Data collection

[1767] Device:

[1768] Once the user puts on the smart glasses, visual and auditory data collection begins. Visual data is acquired in real time through the smart glasses' camera, and auditory data is acquired through the smart glasses' microphone. For example, when the user looks at food or initiates a conversation, these data are captured.

[1769] input:

[1770] The food and surroundings the user is looking at.

[1771] output:

[1772] Image data captured by the camera and audio data recorded by the microphone.

[1773] Specific behavior:

[1774] The camera continuously captures images and the microphone records audio.

[1775] Step 2:

[1776] Data Preprocessing

[1777] Device:

[1778] The acquired visual and auditory data are preprocessed using noise reduction and contrast adjustment. The visual data is contrast adjusted to improve image clarity, and the auditory data is filtered to remove background noise.

[1779] input:

[1780] The raw image and audio data captured.

[1781] output:

[1782] Processed data with noise removal and contrast adjustment.

[1783] Specific behavior:

[1784] Image processing algorithms are used to adjust image contrast and remove noise, and audio processing algorithms are used to remove environmental sounds.

[1785] Step 3:

[1786] Data transmission

[1787] Device:

[1788] The pre-processed visual and auditory data is then sent to a server in real time, and this process continues while the user is using the device.

[1789] input:

[1790] Preprocessed visual and auditory data.

[1791] output:

[1792] Preprocessed data sent to the server.

[1793] Specific behavior:

[1794] The data packets are sent over the Internet to a server.

[1795] Step 4:

[1796] Image and Audio Analysis

[1797] server:

[1798] The server receives the visual and auditory data sent from the device, uses image recognition algorithms to identify specific objects and scenes, and uses speech recognition algorithms to convert the audio into text data.

[1799] input:

[1800] Preprocessed visual and auditory data sent to the server.

[1801] output:

[1802] Text data as a result of image analysis and speech recognition.

[1803] Specific behavior:

[1804] The visual data is analyzed with image recognition algorithms to identify specific objects and scenes, while the auditory data is analyzed with speech recognition algorithms and converted into text data.

[1805] Step 5:

[1806] Emotion analysis

[1807] server:

[1808] The server uses the acquired visual and auditory data to run an emotion analysis engine to analyze the user's emotional state, including facial expression analysis and tone of voice analysis.

[1809] input:

[1810] Preprocessed and analyzed visual and auditory data.

[1811] output:

[1812] Identification of the user's emotional state.

[1813] Specific behavior:

[1814] Facial expression recognition algorithms are used to analyze the user's facial expressions, and tone of voice analysis algorithms are used to identify emotions.

[1815] Step 6:

[1816] Determining cultural taboos

[1817] server:

[1818] The results of image and audio analysis are used to determine certain cultural or religious taboos, including taking into account the user's emotional state.

[1819] input:

[1820] Image and audio analysis results and user sentiment analysis results.

[1821] output:

[1822] The results of determining cultural or religious taboos.

[1823] Specific behavior:

[1824] Based on specific criteria, the analysis results and emotional state are combined to determine whether or not a taboo exists.

[1825] Step 7:

[1826] User Notification

[1827] Device:

[1828] The system receives the judgment results and advice sent from the server and overlays them on the smart glasses display, notifying the user in real time.

[1829] input:

[1830] The results of the cultural taboo judgment and advice sent from the server.

[1831] output:

[1832] A notification message displayed on the smart glasses display.

[1833] Specific behavior:

[1834] Messages such as "This food is not halal certified" and "Do not serve alcohol to this guest" will appear on the smart glasses.

[1835] The user can check the results of the assessment and the analysis of the emotion engine through the smart glasses and take appropriate action to treat the guest, for example, by following instructions to avoid non-halal food or by offering non-alcoholic beverages.

[1836] (Application example 2)

[1837] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1838] Modern brick-and-mortar stores are required to provide appropriate customer service to customers of different cultures and religions. However, it is extremely difficult to understand cultural and religious taboos and grasp the emotional state of customers while providing service. This creates the risk of providing incorrect products or services, or causing customer dissatisfaction or confusion. Furthermore, there is also the issue of increased workloads for staff, which can prevent them from concentrating on their primary customer service duties.

[1839] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing visual data and auditory data to detect specific cultural or religious taboos, means for acquiring and analyzing emotional states, and means for recommending appropriate products and services to users based on the analysis results. This enables flexible and accurate customer service in brick-and-mortar stores that responds to customers' emotional states while avoiding cultural and religious taboos.

[1840] "Visual data" refers to video information captured in real time using visual sensors such as cameras in smart glasses.

[1841] "Auditory data" refers to information about speech and environmental sounds acquired through the microphone in smart glasses or other audio input devices.

[1842] "Preprocessing" refers to the process of performing initial processing such as noise removal and contrast adjustment on the acquired visual and auditory data.

[1843] The "server" is a central processing unit that analyzes the acquired data and manages the results.

[1844] A "cultural taboo" is an act that is considered forbidden or something that should be avoided in a particular cultural sphere.

[1845] A "religious taboo" is an act or thing that is forbidden in a particular religion.

[1846] "Emotional state" refers to a psychological state such as joy, anger, sadness, or surprise that is analyzed from the user's facial expression and tone of voice.

[1847] "Recommendation" means presenting appropriate products and services to users based on the analysis results.

[1848] "Overlay display" is a technology that displays information superimposed on the field of view of smart glasses.

[1849] "Analysis Algorithms" refers to the mathematical and statistical methods used to analyze the visual and auditory data.

[1850] A "warning" is information that alerts users when an action they are about to take is culturally or religiously inappropriate.

[1851] "Advice" is information that indicates appropriate actions or options that a user should take.

[1852] This invention is designed to assist customers in brick-and-mortar stores. The system uses smart glasses to capture real-time visual and auditory data, analyzes the data to detect cultural and religious taboos, and recommends appropriate products and services while taking into account the user's emotional state.

[1853] The server uses multiple data acquisition and analysis methods to provide highly accurate information.

[1854] First, the following hardware is used:

[1855] Smart glasses (e.g. Google Glass)

[1856] Camera and microphone built into smart glasses

[1857] The following software is used:

[1858] Image processing library (e.g. OpenCV)

[1859] Pre-trained models (e.g., object recognition models using TensorFlow)

[1860] Speech recognition engine (e.g. Google Cloud Speech-to-Text)

[1861] Emotion analysis API (e.g. EmotionAPI)

[1862] When a user wears the smart glasses, visual and auditory data are collected in real time. The collected data is first preprocessed. Visual data is converted to grayscale using OpenCV, and noise is removed and contrast is adjusted. Auditory data is converted to text using a speech recognition engine.

[1863] The server receives the acquired and preprocessed data, applies object recognition algorithms using TensorFlow to the visual data to identify specific objects and scenes, and applies sentiment analysis APIs to the auditory data to analyze the user's emotional state from their tone of voice and word choice.

[1864] The analysis results are integrated to determine whether taboos exist based on cultural and religious backgrounds, and the emotional state is taken into account when recommending appropriate products and services. For example, if the system determines that a user is confused, it will provide concise and clear advice.

[1865] This allows users to always provide appropriate customer service and avoid providing incorrect products or services. For example, it can recommend meat-free menu items to vegetarian customers, avoiding cultural and religious taboos.

[1866] For example, you might use the following prompt:

[1867] "Use the Cross-Cultural Hospitality Checker to show your system how to accommodate vegetarian customers."

[1868] In this way, the present invention is a system that provides customer service support that takes into account the emotional state of the user while avoiding cross-cultural and cross-religious taboos, based on the acquisition and analysis of visual and auditory data.

[1869] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1870] Step 1:

[1871] The user puts on the smart glasses and begins acquiring visual and auditory data. The camera built into the smart glasses acquires images of the environment (visual data) in real time, and the microphone captures audio (auditory data). The acquired visual data is the video stream from the camera, and the auditory data is audio waveform data.

[1872] Step 2:

[1873] Preprocessing is performed on the device. Visual data is converted to grayscale using OpenCV, and image noise is removed and contrast is adjusted. This improves image quality and increases analysis accuracy. Auditory data is converted to text using a speech recognition engine. This conversion processes the audio data into a format (text data) suitable for analysis.

[1874] Step 3:

[1875] The preprocessed visual and auditory data is sent to a server. The device uploads the data to the server via the internet and prepares it for analysis. The sent data includes noise-removed image data and text-converted audio data.

[1876] Step 4:

[1877] The server analyzes the transmitted data. It applies object recognition algorithms using TensorFlow to the visual data to identify specific objects and scenes. For example, it identifies food and beverages in the visual data. It also applies an emotion analysis API to the auditory data to analyze the emotional state from the resulting text. Analysis includes facial expression analysis and tone analysis of the voice.

[1878] Step 5:

[1879] The server integrates the analysis results. It combines the object recognition results from the visual data and the emotion analysis results from the auditory data to generate a single comprehensive analysis result. For example, it determines whether a particular food item is halal or whether the customer is confused.

[1880] Step 6:

[1881] Based on the analysis results, the server determines certain cultural or religious taboos and recommends appropriate products and services to the user. It also generates warnings and advice based on the analysis results, such as "This food is Halal certified" or "Do not serve alcohol to this guest."

[1882] Step 7:

[1883] The generated analysis results and recommendations are sent to the device. The server then sends the analysis results and warning / advice messages to the device in real time, preparing them for delivery to the user.

[1884] Step 8:

[1885] The analysis results are overlaid on the device, and the analysis results and warning messages sent are overlaid on the smart glasses display, allowing users to receive specific advice and warnings in real time and take appropriate action.

[1886] Step 9:

[1887] Users can check the displayed analysis results and warnings / advice and adjust their actions accordingly. For example, by following the displayed messages, users can provide halal-certified food and avoid serving alcohol, thereby providing appropriate hospitality to customers from different cultures.

[1888] The above is the specific processing flow of the system that realizes this application example.

[1889] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1890] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1891] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1892] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1893] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1894] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1895] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1896] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1897] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1898] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1899] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1900] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1901] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1902] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1903] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1904] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1905] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1906] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1907] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1908] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1909] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1910] The following is further disclosed regarding the above embodiment.

[1911] (Claim 1)

[1912] a means for acquiring visual data;

[1913] a means for acquiring auditory data;

[1914] means for preprocessing the visual and auditory data;

[1915] means for transmitting the preprocessed data to a server;

[1916] means for analyzing said data to detect particular cultural or religious taboos;

[1917] means for transmitting the detection result to a terminal;

[1918] means for displaying the detection results in an overlay;

[1919] A system including:

[1920] (Claim 2)

[1921] an algorithm for analyzing the visual data;

[1922] an algorithm for analyzing the auditory data;

[1923] means for integrating the results of the analysis of the visual data and the auditory data;

[1924] 10. The system of claim 1, comprising:

[1925] (Claim 3)

[1926] means for determining suitability of the detection results based on specific cultural or religious information;

[1927] means for generating a warning or advice based on the determination result;

[1928] 10. The system of claim 1, comprising:

[1929] "Example 1"

[1930] (Claim 1)

[1931] a means for acquiring visual data;

[1932] a means for acquiring auditory data;

[1933] means for preprocessing the visual and auditory data;

[1934] means for transmitting the preprocessed data to a server;

[1935] means for analyzing said data to detect particular cultural or religious taboos;

[1936] A means for users to view cultural and religious information of guests specified in advance;

[1937] A means for determining suitability for guests of a particular cultural or religious background based on the analyzed visual and auditory data;

[1938] means for transmitting the detection result to a terminal;

[1939] means for displaying the detection results in an overlay;

[1940] A system including:

[1941] (Claim 2)

[1942] an algorithm for analyzing the visual data;

[1943] an algorithm for analyzing the auditory data;

[1944] means for integrating the results of the analysis of the visual data and the auditory data;

[1945] means for generating a warning or advice based on the determination result;

[1946] 10. The system of claim 1, comprising:

[1947] (Claim 3)

[1948] A means of determining in real time, based on the analysis results, whether the content a user is about to provide violates certain cultural or religious taboos; and

[1949] a means for displaying a notification on the display of the terminal based on the determination result by overlay;

[1950] 10. The system of claim 1, comprising:

[1951] "Application Example 1"

[1952] (Claim 1)

[1953] a means for acquiring visual data;

[1954] a means for acquiring auditory data;

[1955] means for preprocessing the visual and auditory data;

[1956] means for transmitting the preprocessed data to a server;

[1957] means for analyzing said data to detect particular cultural or religious taboos;

[1958] means for transmitting the visual and auditory data to a server;

[1959] means for analyzing said data and determining the cultural background of the customer;

[1960] A means of detecting and informing users about certain cultural or religious taboos;

[1961] means for transmitting the determination result to a terminal;

[1962] means for displaying the detection results in an overlay;

[1963] A system including:

[1964] (Claim 2)

[1965] an algorithm for analyzing the visual data;

[1966] an algorithm for analyzing the auditory data;

[1967] means for integrating the results of the analysis of the visual data and the auditory data;

[1968] an algorithm that combines the visual and auditory data to determine the customer's cultural background;

[1969] a means for training a decision algorithm using the generative AI model;

[1970] A means of generating specific cross-cultural instructions using prompt statements;

[1971] 10. The system of claim 1, comprising:

[1972] (Claim 3)

[1973] means for determining suitability of the detection results based on specific cultural or religious information;

[1974] means for generating a warning or advice based on the determination result;

[1975] A means for breaking down specific cross-cultural instructions and sending them to the terminal;

[1976] means for taking appropriate action based on instructions displayed on the terminal;

[1977] 10. The system of claim 1, comprising:

[1978] "Example 2: Combining Emotion Engines"

[1979] (Claim 1)

[1980] a means for acquiring visual data;

[1981] a means for acquiring auditory data;

[1982] means for preprocessing the visual and auditory data;

[1983] means for transmitting the preprocessed data to a server;

[1984] means for analyzing said data to detect particular cultural or religious taboos;

[1985] means for analyzing a user's emotional state using an emotion analysis engine;

[1986] means for generating a warning or advice based on the analysis results;

[1987] means for transmitting said warning or advice to a terminal;

[1988] means for overlaying and displaying the transmitted warning or advice;

[1989] A system including:

[1990] (Claim 2)

[1991] an algorithm for analyzing the visual data;

[1992] an algorithm for analyzing the auditory data;

[1993] means for integrating the results of the analysis of the visual data and the auditory data;

[1994] 10. The system of claim 1, comprising a sentiment analysis engine.

[1995] (Claim 3)

[1996] means for determining suitability of the detection results based on specific cultural or religious information;

[1997] means for generating a warning or advice based on the determination result;

[1998] 2. The system of claim 1, further comprising means for adjusting the content of the warning or advice taking into account the emotional state of the user.

[1999] "Application example 2 when combining emotion engines"

[2000] (Claim 1)

[2001] a means for acquiring visual data;

[2002] a means for acquiring auditory data;

[2003] means for preprocessing the visual and auditory data;

[2004] means for transmitting the preprocessed data to a server;

[2005] means for analyzing said data to detect particular cultural or religious taboos;

[2006] means for obtaining and analyzing the detection results and emotional state;

[2007] A means of recommending appropriate products and services to users based on the analysis results, and

[2008] means for transmitting the detection results and the recommendation contents to the terminal;

[2009] means for displaying the detection results in an overlay;

[2010] A system including:

[2011] (Claim 2)

[2012] an algorithm for analyzing the visual data;

[2013] an algorithm for analyzing the auditory data;

[2014] A means for integrating the analysis results of the visual data and the auditory data and making recommendations based on cultural and religious background and emotional state;

[2015] 10. The system of claim 1, comprising:

[2016] (Claim 3)

[2017] means for determining whether the detection results and analysis results are compatible with specific cultural or religious information;

[2018] means for generating warnings or advice and recommendations based on the determination results;

[2019] 10. The system of claim 1, comprising: [Explanation of symbols]

[2020] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for acquiring visual data; a means for acquiring auditory data; means for preprocessing the visual and auditory data; means for transmitting the preprocessed data to a server; means for analyzing said data to detect particular cultural or religious taboos; means for transmitting the detection result to a terminal; means for displaying the detection results in an overlay; A system including:

2. an algorithm for analyzing the visual data; an algorithm for analyzing the auditory data; means for integrating the results of the analysis of the visual data and the auditory data; The system of claim 1 , comprising:

3. means for determining suitability of the detection results based on specific cultural or religious information; means for generating a warning or advice based on the determination result; The system of claim 1 , comprising:

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