Interactive digital cognitive-behavioral play analysis method and device using generative ai
A digital CBT environment using generative AI addresses the limitations of traditional CBT by providing personalized and interactive play experiences, enhancing engagement and accessibility for children with ADHD and developmental disorders.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- FAMO CO CORP
- Filing Date
- 2025-11-11
- Publication Date
- 2026-05-21
Smart Images
Figure KR2025018478_21052026_PF_FP_ABST
Abstract
Description
Method and Apparatus for Analyzing Interactive Digital Cognitive Behavioral Play Using Generative AI
[0001] The present disclosure relates to a method for analyzing cognitive behavioral play, and more specifically, to a method and apparatus for analyzing interactive digital cognitive behavioral play using generative AI.
[0002] Cognitive Behavioral Therapy (CBT) is a psychotherapy method aimed at improving emotional regulation, cognitive restructuring, and problem-solving abilities. While traditional CBT for children with ADHD and developmental disorders centers on face-to-face counseling with a professional, recent efforts have focused on enhancing accessibility through digital-based approaches. Digital CBT offers the advantage of maintaining children's attention and encouraging voluntary participation by utilizing gamified interfaces and various interaction methods. In particular, play-based CBT serves as a mechanism capable of naturally drawing out children's interest while providing psychological intervention effects, and its potential is expanding further in the digital environment.
[0003] AI-based interactive systems offer exceptional flexibility in providing personalized feedback and tasks tailored to a child's developmental level, cognitive abilities, and emotional state. In particular, numerous studies indicate that individualized learning and therapy are effective for children with developmental disorders such as ADHD. Generative AI technology can analyze a child's developmental status in real time and adjust the difficulty, content, and feedback methods of play accordingly. Through this, children are provided with challenges appropriate to their developmental level and can enhance their self-esteem through experiences of success. The advancement of generative AI technology and interactive systems is blurring the boundaries between play and therapy in child psychotherapy, enabling more efficient and personalized treatment.
[0004] This disclosure aims to induce voluntary participation and concentration in children by helping them voluntarily develop an interest in learning and therapy through a play-based digital environment, thereby addressing the problem of children with ADHD and developmental disabilities having short attention spans and difficulty maintaining voluntary participation in traditional treatment methods.
[0005] The present disclosure aims to enable children to perform learning tasks appropriate to their developmental stage and build positive learning experiences by collecting and analyzing children's developmental status and responses as time-series data, and by providing customized play and feedback tailored to the individual child's developmental level.
[0006] This disclosure aims to improve the accessibility and effectiveness of cognitive behavioral therapy (CBT) by providing a digital CBT environment to complement the limitations of traditional CBT, which is limited in accessibility due to the need for face-to-face consultation with a professional and difficult to generate interest in young children, thereby enabling children to participate in therapy more intuitively and enjoyably and promoting their development.
[0007] According to one feature of the present disclosure, an interactive digital cognitive behavioral play analysis method using generative AI, which operates in a cognitive behavioral play analysis device, is provided. The method comprises the steps of: providing a cognitive behavioral play service to a user terminal; providing a request for input of the cognitive behavioral play result to the user terminal and receiving the cognitive behavioral play result, and providing feedback on the cognitive behavioral play result; providing a request for input of cognitive behavioral play observation data to the user terminal and receiving the cognitive behavioral play observation data; providing a conversation time regarding the cognitive behavioral play to a plurality of users participating in the cognitive behavioral play and receiving a response to the conversation time; analyzing the response to the conversation time using an AI voice recognition function to determine whether a predetermined vocabulary exists in the response to the conversation time; and, if the predetermined vocabulary exists, generating at least one picture using generative AI with the predetermined vocabulary as a keyword and providing it to the user terminal, and receiving a selection of one of the at least one pictures.
[0008] In one embodiment, the step of providing an input request for the cognitive behavioral play observation data to a user terminal and receiving the cognitive behavioral play observation data is repeated a predetermined number of times and recorded along with the time at which the cognitive behavioral play observation data was received, and further includes the step of generating an analysis result report by analyzing the cognitive behavioral play observation data chronologically.
[0009] In one embodiment, the analysis result report includes visualized result values obtained by analyzing the emotional domain, language domain, physical domain, sensory domain, and relationship domain in a time series.
[0010] In one embodiment, the analysis result report includes a summary of the response of the conversation time and visual statistics on the vocabulary present in the response of the conversation time.
[0011] In one embodiment, the step of generating an analysis result report further includes the step of providing a collection of the selected figures.
[0012] In one embodiment, the analysis result report includes the contents of a chronological analysis of the emotional domain, language domain, physical domain, sensory domain, and relationship domain.
[0013] In one embodiment, the step of analyzing the response of the conversation time using an AI voice recognition function to determine whether a predetermined vocabulary exists in the response of the conversation time determines whether it matches a predefined vocabulary.
[0014] In one embodiment, when the predetermined vocabulary exists, the step of generating at least one image using a generative AI with the predetermined vocabulary as a keyword and providing it to a user terminal is to provide an image previously generated by a generative AI using a combination of the predetermined vocabulary.
[0015] According to another feature of the present disclosure, a recording medium is provided for executing any one of the methods on a computing device as an interactive digital cognitive behavioral play analysis method using generative AI executed by a computing device.
[0016] According to another feature of the present disclosure, an interactive digital cognitive behavioral play analysis device using generative AI is provided, which is configured to execute the method of any one of the above methods.
[0017] According to an embodiment of the present disclosure, providing a play-based digital environment for children with ADHD and developmental disabilities has the effect of inducing the child to voluntarily take an interest in learning and therapy. Through this, the child can improve the problem of lack of concentration, which was difficult in conventional treatment methods, and participate more actively in therapy and learning. The child's voluntary participation enhances the effectiveness of therapy and contributes to strengthening the child's emotional stability and learning motivation through positive treatment experiences.
[0018] According to an embodiment of the present disclosure, by collecting and analyzing a child's developmental status and responses as time-series data, customized learning tasks and feedback tailored to each child's individual developmental level can be provided. Through this, the child performs tasks appropriate to their developmental stage, feels a sense of achievement in learning through successful experiences, and can enhance their self-efficacy. Furthermore, since the customized feedback is adjusted in real time according to the child's learning speed and responses, it helps optimize the child's development.
[0019] According to an embodiment of the present disclosure, by implementing a digital cognitive behavioral therapy (CBT) environment utilizing AI and voice recognition technology, the limitations of traditional face-to-face CBT can be overcome and accessibility can be significantly improved. Children can easily access the digital CBT environment at home without face-to-face consultation with a professional and participate in therapy through intuitive and engaging interactions. This allows children to reduce resistance to therapy, approach CBT with a more positive attitude, and enhance the effectiveness of treatment through continuous participation. In particular, the play elements of the digital environment attract children's interest, increase immersion in the therapeutic process, and are advantageous for supporting long-term cognitive and emotional development.
[0020] FIG. 1 is a schematic diagram illustrating an interactive digital cognitive behavioral play analysis system (100) according to one embodiment of the present disclosure.
[0021] FIG. 2 is a functional block diagram schematically illustrating the functional configuration of a user terminal (110) illustrated in FIG. 1 according to one embodiment of the present disclosure.
[0022] FIG. 3 is a functional block diagram schematically illustrating the functional configuration of the cognitive behavioral play analysis device shown in FIG. 1 according to one embodiment of the present disclosure.
[0023] FIG. 4 is a drawing illustrating, in accordance with one embodiment of the present disclosure, an exemplary daily analysis graph generated by a cognitive behavioral play analysis device.
[0024] FIG. 5 is a drawing illustrating, in accordance with one embodiment of the present disclosure, an exemplary collection of picture cards generated by a cognitive behavioral play analysis device.
[0025] FIG. 6 is a diagram illustrating, in accordance with one embodiment of the present disclosure, an exemplary emotion word graph generated by a cognitive behavioral play analysis device.
[0026] FIG. 7 is a flowchart exemplarily illustrating the step of generating a comprehensive report in a cognitive behavioral play analysis device according to one embodiment of the present disclosure.
[0027] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In the following, specific descriptions of already known functions and configurations are omitted where it is deemed that doing so would unnecessarily obscure the essence of the present disclosure. Furthermore, it should be understood that the content described below relates only to one embodiment of the present disclosure and that the present disclosure is not limited thereto.
[0028] The terms used in this disclosure are used merely to describe specific embodiments and are not intended to limit this disclosure. For example, a component expressed in the singular should be understood as a concept including a plural component unless the context clearly implies only the singular. It should be understood that the term "and / or" used in this disclosure encompasses any possible combination of one or more of the items listed. Terms such as "comprising" or "having" used in this disclosure are intended only to specify the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in this disclosure, and the use of such terms is not intended to exclude the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.
[0029] In the embodiments of the present disclosure, a 'module' or 'part' refers to a functional part that performs at least one function or operation, and may be implemented in hardware or software, or a combination of hardware and software. Additionally, a plurality of 'modules' or 'parts' may be integrated into at least one software module and implemented by at least one processor, except for 'modules' or 'parts' that need to be implemented in specific hardware.
[0030] Additionally, unless otherwise defined, all terms used in this disclosure, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which this disclosure pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology and should not be interpreted as being overly limited or expanded unless explicitly defined otherwise in this disclosure.
[0031] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the attached drawings.
[0032] FIG. 1 is a schematic diagram illustrating an interactive digital cognitive behavioral play analysis system according to one embodiment of the present disclosure.
[0033] According to one embodiment of the present disclosure, an interactive digital cognitive behavioral play analysis system (100) may include a plurality of user terminals (110), a communication network (120), and a cognitive behavioral play analysis device (130).
[0034] According to one embodiment of the present disclosure, each of the plurality of user terminals (110) may be any user electronic device equipped with wired or wireless communication functions. It should be noted that each of the user terminals (110) may be various wired or wireless communication terminals, such as smartphones, tablet PCs, desktops, laptops, PDAs, digital TVs, etc., and is not limited to a specific form. In this drawing, only three user terminals are shown, but the present disclosure is not limited thereto. According to another embodiment of the present disclosure, it should be noted that the interactive digital cognitive behavioral play analysis system (100) may include a larger number of various types of user terminals. According to one embodiment of the present disclosure, a user may log in to the cognitive behavioral play analysis device (130) using one or more user terminals (110) and obtain desired services from the cognitive behavioral play analysis device (130).
[0035] According to one embodiment of the present disclosure, each user terminal (110) can communicate with the cognitive behavioral play analysis device (130) through the communication network (120), that is, transmit and receive necessary information. According to one embodiment of the present disclosure, the user terminal (110) can receive various forms of user input from the outside, such as voice and / or text input, image and / or video input, touch input, and various other control inputs. According to one embodiment of the present disclosure, various forms of user input received on the user terminal (110) can be transmitted to the cognitive behavioral play analysis device (130) through the communication network (120). According to one embodiment of the present disclosure, the user terminal (110) can receive various signals transmitted from the outside (e.g., the cognitive behavioral play analysis device (130)) through the communication network (120).
[0036] According to one embodiment of the present disclosure, the communication network (120) may include any wired or wireless communication network, such as a TCP / IP communication network. According to one embodiment of the present disclosure, the communication network (120) may include, for example, a Wi-Fi network, a LAN network, a WAN network, an Internet network, etc., but the present disclosure is not limited thereto. According to one embodiment of the present disclosure, the communication network (120) may be implemented using, for example, Ethernet, GSM, EDGE (Enhanced Data GSM Environment), CDMA, TDMA, OFDM, OFDMA, 3G, 4G, 5G, 6G, nG, Bluetooth, VoIP, Wi-MAX, Wibro, or any other various wired or wireless communication protocols.
[0037] According to one embodiment of the present disclosure, the cognitive behavioral play analysis device (130) can communicate with a user terminal (110) through a communication network (120). According to one embodiment of the present disclosure, the cognitive behavioral play analysis device (130) can provide an interactive digital cognitive behavioral play analysis service in response to a request received from a user terminal (110) through, for example, the communication network (120).
[0038] In one embodiment, the cognitive behavioral play analysis device (130) may be a database that stores and manages data for each user account, a database that stores and manages data for each of one or more games, or a database that stores and manages data for each game result associated with a specific game. In one embodiment, the cognitive behavioral play analysis device (130) may store and manage data for each user account. It may perform various necessary operations and operation processing in conjunction with each other module of the cognitive behavioral play analysis device (130). The cognitive behavioral play analysis device (130) may receive and analyze responses to conversation time regarding cognitive behavioral play and summarize the content of conversation time. The cognitive behavioral play analysis device (130) may receive and analyze responses to conversation time regarding cognitive behavioral play and determine whether a specific vocabulary exists in the responses to conversation time. If a specific vocabulary exists, it may generate at least one picture based on generative AI using the specific vocabulary as a keyword and provide it to the user terminal. The cognitive behavioral play analysis device (130) can receive responses to a predetermined question, classify them into emotional domain, language domain, physical domain, sensory domain, and relationship domain, and analyze them in a time-series manner. The cognitive behavioral play analysis device (130) can generate a comprehensive report based on the participant's observation records. The comprehensive report may include at least one of a daily analysis graph of the day the game was played, analysis content, a collection of picture cards, a summary of conversation time, and a frequency graph of emotion words.
[0039]
[0040] FIG. 2 is a functional block diagram schematically illustrating the functional configuration of a user terminal (110) illustrated in FIG. 1 according to one embodiment of the present disclosure.
[0041] As described above, the user terminal (110) may include a user input receiving module (202), a program memory module (204), a processing module (206), a communication module (208), and an output module (210).
[0042] According to one embodiment of the present disclosure, the user input receiving module (202) may receive various forms of input from a user, such as voice and / or text input, touch input, and various other control inputs. According to one embodiment of the present disclosure, the user input receiving module (202) may include various types of input devices, such as various pointing devices like a mouse, joystick, and trackball, a camera, a keyboard, a microphone and audio circuit, a touch panel, a touchscreen, a stylus, and various input interface buttons, and may acquire input signals input by the user through these input devices. According to one embodiment of the present disclosure, the user input received by the user input receiving module (202) may be associated with a control command requesting the cognitive behavioral play analysis device (130) to perform a predetermined operation.
[0043] According to one embodiment of the present disclosure, the program memory module (204) may be any storage medium in which various programs that can be executed on a user terminal (110), such as various application programs and related data, are stored. According to one embodiment of the present disclosure, the program memory module (204) may store various application programs, such as a messenger service provision application, a camera application, a clock application, etc., through communication with a cognitive behavioral play analysis device (130), and data related to the execution of these programs. According to one embodiment of the present disclosure, the program memory module (204) may be configured to include various forms of volatile or non-volatile memory, such as DRAM, SRAM, DDR RAM, ROM, magnetic disk, optical disk, flash memory, etc.
[0044] According to one embodiment of the present disclosure, the processing module (206) can communicate with each component module of the user terminal (110) and perform various operations. According to one embodiment of the present disclosure, the processing module (206) can drive and execute various application programs on the program memory module (204). According to one embodiment of the present disclosure, the processing module (206) can, if necessary, receive signals obtained from the user input receiving module (202) and perform appropriate processing regarding these signals. According to one embodiment of the present disclosure, the processing module (206) can, if necessary, perform appropriate processing on signals received from the outside through the communication module (208).
[0045] According to one embodiment of the present disclosure, the communication module (208) enables the user terminal (110) to communicate with the cognitive behavioral play analysis device (130) through the communication network (120) of FIG. 1. According to one embodiment of the present disclosure, the communication module (208) may enable a signal obtained, for example, on a user input receiving module (202) to be transmitted to the cognitive behavioral play analysis device (130) through the communication network (120) according to a predetermined protocol. According to one embodiment of the present disclosure, the communication module (208) may receive various signals, such as user messages in the form of voice and / or text, or various control signals, received from the cognitive behavioral play analysis device (130) through the communication network (120), for example, and perform appropriate processing according to a predetermined protocol.
[0046] According to one embodiment of the present disclosure, the output module (210) may output various forms of signals, such as visual, auditory, and / or tactile signals, corresponding to user input received on a user terminal (110) and signals received from the outside through a communication network (120) and a communication module (208). According to one embodiment of the present disclosure, the output module (210) may include various display devices, such as a touch screen based on technologies such as LCD, LED, OLED, QLED, etc., and may present various visual output signals, such as text, symbols, videos, images, hyperlinks, animations, various notices, etc., to the user through these display devices. According to one embodiment of the present disclosure, the output module (210) may include, for example, a speaker or a headset, and may provide various auditory output signals, such as voice and / or sound signals, to the user through the same.
[0047] According to one embodiment of the present disclosure, the output module (210) can visualize and display various information and data on the user terminal (110). According to one embodiment of the present disclosure, the output module (210) can visualize and display various statistical data based thereon and result records performed through the cognitive behavioral play analysis device (130) described later on the user terminal (110).
[0048] FIG. 3 is a functional block diagram schematically illustrating the functional configuration of the cognitive behavioral play analysis device shown in FIG. 1 according to one embodiment of the present disclosure.
[0049] As described, the cognitive behavioral play analysis device (130) may include, but is not limited to, a communication module (302), a user information management module (304), a motion control module (306), an observation result generation AI module (308), or a comprehensive report generation AI module (310).
[0050] According to one embodiment of the present disclosure, a communication module (302) enables the cognitive behavioral play analysis device (130) to communicate with a user terminal (110) and other external devices (not shown) through a communication network (120) according to a predetermined wired or wireless communication protocol. According to one embodiment of the present disclosure, the communication module (302) can receive user input transmitted from the user terminal (110) through the communication network (120). According to one embodiment of the present disclosure, the communication module (302) can receive status information of the user terminal (110) transmitted from the user terminal (110), etc., through the communication network (120), together with or separately from the aforementioned user input. According to one embodiment of the present disclosure, the state information may be various state information related to, for example, a user terminal (110) (e.g., the physical state of the user terminal (110), the software and / or hardware state of the user terminal (110), the environmental state information surrounding the user terminal (110), etc.). According to one embodiment of the present disclosure, the communication module (302) may also perform appropriate measures necessary to transmit a predetermined message signal and / or control signal generated on the cognitive behavioral play analysis device (130) or received from another user terminal (110) to the user terminal (110) through the communication network (120).
[0051] According to one embodiment of the present disclosure, the user information management module (304) may be a database that stores and manages each user account data. According to one embodiment of the present disclosure, each user account may be associated with one or more user terminals (110). According to one embodiment of the present disclosure, each user account data included in the user information management module (304) may include various information such as user registration information for each user account (e.g., name, phone number, email address, ID, password, authority, unique key, various user profile information, user account associated device information, and other various information, but not limited thereto), registration date, and user login information. According to one embodiment of the present disclosure, the user information management module (304) may continuously collect and update various history information, including activities for each user account through the cognitive behavioral play analysis device (130), such as various service requests provided by the cognitive behavioral play analysis device (130) and the reception of responses thereto.
[0052] According to one embodiment of the present disclosure, the motion control module (306) can perform various necessary operations and motion processing in conjunction with each other module of the cognitive behavioral play analysis device (130). According to one embodiment of the present disclosure, the motion control module (306) can receive data transmitted from each user terminal (110), for example, through a communication module (302). According to one embodiment of the present disclosure, the motion control module (306) can also perform necessary predetermined motion processing, recording and updating of predetermined information, and generating and transmitting predetermined messages in conjunction with the observation result generation AI module (308) and comprehensive report generation AI module (310) described later.
[0053] According to one embodiment of the present disclosure, the operation control module (306) may receive an explicit or implicit request from, for example, a user terminal (110). According to one embodiment of the present disclosure, the operation control module (306) may interpret the received request by referring to the observation result generation AI module (308) and the comprehensive report generation AI module (310), perform an operation corresponding thereto, for example, monitoring of a certain user activity (for example, obtaining and recording certain information regarding a certain user activity), and generate and transmit a response corresponding thereto. According to one embodiment of the present disclosure, the operation control module (306) may record and / or update the information and / or response obtained, recorded, and generated above in relation to the corresponding game result on the observation result generation AI module (308) and the comprehensive report generation AI module (310). According to one embodiment of the present disclosure, the operation control module (306) can generate certain statistical information based on various data, such as accumulated monitoring records regarding each user activity, game results, and comprehensive reports, in response to a request from a user terminal (110), on the observation result generation AI module (308) and the comprehensive report generation AI module (310).
[0054] According to one embodiment of the present disclosure, the observation result generating AI module (308) may include a database that stores and manages data regarding each of one or more games. According to one embodiment of the present disclosure, each game data included in the observation result generating AI module (308) may include, for example, information such as attribute (feature) information determined for each game, game name, game method, game score, etc., but is not limited thereto.
[0055] According to one embodiment of the present disclosure, each game data included in the observation result generation AI module (308) may include, for example, participant information by participation group unit or participant information by individual unit for participating in the game.
[0056] In one embodiment of the present disclosure, the observation result generating AI module (308) may receive and analyze responses to conversation time regarding cognitive behavioral play and summarize the content of the conversation time. In one embodiment, the observation result generating AI module (308) may guide the conversation time (e.g., "Please all sit together. Was untying the knot difficult? Was it easy? What should you think about when moving your body while untying the knot? What is the most important thing?") and receive responses thereto.
[0057] In one embodiment, the observation result generation AI module (308) can receive a response during conversation time and convert it into text using a predetermined STT (Speech-to-Text) model. The observation result generation AI module (308) can perform a predetermined preprocessing step. The preprocessing process performed to accurately transcribe speech into text may include various techniques. For example, the observation result generation AI module (308) can detect speech segments spoken by a person in the speech through Voice Activity Detection, and can remove loud noise and make the spoken words clear through a Speech Enhancement step. In addition, the observation result generation AI module (308) can separate and organize speech by speaker through Speaker Diarization. Through such various preprocessing, unnecessary noise is filtered out, and speech recognition is performed by collecting only the segments actually spoken by a person, thereby improving recognition accuracy. Speaker separation, which divides the speech by speaker, may be performed first, and speech recognition may be performed by collecting speech segments spoken by each speaker.
[0058] In one embodiment, the observation result generation AI module (308) can perform a food recognition function using a predetermined language model. The predetermined language model may be a probability statistical method based on HMM (Hidden Markov Model), a deep learning-based HMM / DNN method, a CTC (Connectionist Temporal Classification) method, or an RNN-based Sequence-to-Sequence method.
[0059] In one embodiment, the observation result generation AI module (308) receives and analyzes a response to a conversation time regarding cognitive behavioral play and can determine whether a specific vocabulary exists in the response to the conversation time. For example, the observation result generation AI module (308) can determine whether a specific vocabulary exists in the response to the conversation time based on text converted to STT. The specific vocabulary may be a positive word defined in advance. Positive words may include happy, happy, abundant, love, kind, good, moved, heartwarming, affectionate, friendly, satisfied, warm, pleasant, joyful, grateful, thankful, reassuring, trust, tranquil, energetic, shining, amazing, etc. The specific vocabulary may be a word defined in advance, or may use vocabulary derived by a specific operation or algorithm after receiving an abstract meaning as input. For example, it could be vocabulary derived through a generative AI model using 'positive words' (positive words refer to phrases that evoke positive emotions in people and give them hope and confidence. Please provide various positive words that can be frequently used in daily life) as input (e.g., it is possible, it is okay, thank you, it is great, I love you, I believe in you, you are doing well, I am happy, congratulations, etc.).
[0060] In one embodiment, the observation result generation AI module (308) may, when there is a predetermined vocabulary, generate at least one picture based on a generative AI using the predetermined vocabulary as a keyword and provide it to the user terminal. The observation result generation AI module (308) may generate at least one picture based on a generative AI using a predetermined positive word combination as an input keyword.
[0061] In one embodiment, the observation result generation AI module (308) may receive and store a selection of at least one picture. The observation result generation AI module (308) may receive a selection of a picture and store a picture or an index of a picture.
[0062] According to one embodiment of the present disclosure, the observation result generating AI module (308) may receive a response to a predetermined question and analyze it to generate an observation result. In one embodiment, the observation result generating AI module (308) may store information regarding the participant's observation results before or after the game and generate a predetermined observation result based thereon.
[0063] In one embodiment, the observation result generating AI module (308) can receive and analyze responses to a predetermined question. Here, the predetermined question is an item capable of examining the psychological state of a participant, such as the Illinois Psycho-Linguistic Test, the Korean Child Personality Test, the Korean Child Personality Scale, the Parent-Child Communication Test, or the Mental Health Diagnosis Manual, and can be designed to verify and derive effective effects for a predetermined area. For example, it can be designed to check the participant's state by predetermined area while performing a game, such as 'Was eye contact smooth?', 'Was there any part where violence was revealed?', 'Please indicate the positive language usage scale.', 'Did you follow the play sequence and method well?', or 'Please check the level of interest in the play as a score.' Additionally, the question can be classified into areas such as emotion, language, body, senses, and relationships.
[0064] In one embodiment, the observation result generating AI module (308) can receive responses to a predetermined question, classify them into emotional, language, physical, sensory, and relationship domains, and analyze them in a time-series manner. In one embodiment, the observation result generating AI module (308) can visualize and display the analyzed results. For example, the observation result generating AI module (308) can display the change in scores of each domain over a predetermined period as a graph. In one embodiment, the observation result generating AI module (308) can generate analysis content regarding the change in scores of each domain over a predetermined period. For example, the observation result generating AI module (308) can generate analysis content regarding the change in scores of each domain over a predetermined period, such as "showed interest in relationship play," or "cognitive play may be somewhat difficult."
[0065] According to one embodiment of the present disclosure, the participant information included in the observation result generating AI module (308) may include observation records of participants who participated in the game. In one embodiment, the participant observation records may be recorded as keywords. For example, for a specific participant, words (keywords) such as 'questioning activity', 'liveliness', 'excellent concentration', 'active', 'participation', 'communication', 'consideration', 'respect', 'cooperation', 'creative idea', 'collaboration', 'acceptance of feedback', 'time management' may be entered. According to one embodiment of the present disclosure, the aforementioned words (keywords) may be stored in the observation result generating AI module (308). In another embodiment, the aforementioned words (keywords) may be edited and stored in the observation result generating AI module (308) in response to a request from the user terminal (110).
[0066] According to another embodiment of the present disclosure, the participant observation record may be recorded in the form of phrases or sentences. For example, it may be entered in the form of sentences or phrases, such as 'logically expressing opinions during game time,' 'listening attentively to explanations,' or 'taking on a leader role in the game to gather and coordinate the opinions of other participants.'
[0067] According to one embodiment of the present disclosure, the comprehensive report generation AI module (310) can generate a comprehensive report based on the participant's observation records. In one embodiment, the comprehensive report generation AI module (310) can receive observation results from the observation result generation AI module (308) and generate a comprehensive report based thereon. In one embodiment, the comprehensive report may include at least one of a daily analysis graph of the day the game was played, analysis content, a collection of picture cards, a summary of conversation time, and a frequency graph of emotion words.
[0068] FIG. 4 is a drawing illustrating, in accordance with one embodiment of the present disclosure, an exemplary daily analysis graph generated by a cognitive behavioral play analysis device.
[0069] In one embodiment, the comprehensive report generation AI module (310) can generate a time-series analysis graph for a predetermined area (e.g., relationship, sense, body, language, emotion) as a daily analysis graph on the day the game was played. For example, if 10 play games are played, the comprehensive report generation AI module (310) can generate a graph based on the scores for each area for each round from the 1st to the 10th round.
[0070] In one embodiment, the comprehensive report generation AI module (310) can generate analysis content based on the scores obtained by the participant in each predetermined area. For example, if the participant's relationship area score is relatively high, the comprehensive report generation AI module (310) can generate analysis content for that participant such as, "Showed interest in relationship play." As another example, if the participant's cognitive area score is consistently low, the comprehensive report generation AI module (310) can generate analysis content for that participant such as, "Cognitive play may be difficult."
[0071] FIG. 5 is a drawing illustrating, in accordance with one embodiment of the present disclosure, an exemplary collection of picture cards generated by a cognitive behavioral play analysis device.
[0072] In one embodiment, the comprehensive report generation AI module (310) can generate a collection of picture cards. The collection of picture cards may be a collection of pictures selected by a participant.
[0073] In one embodiment, the comprehensive report generation AI module (310) can generate a conversation time summary. The comprehensive report generation AI module (310) can generate a conversation time summary based on voice received during the conversation time. In one embodiment, the comprehensive report generation AI module (310) can generate a conversation time record summarized in a single line and sort it according to the time when the event occurred.
[0074] FIG. 6 is a diagram illustrating, in accordance with one embodiment of the present disclosure, an exemplary emotion word graph generated by a cognitive behavioral play analysis device.
[0075] In one embodiment, the comprehensive report generation AI module (310) can detect emotion words mentioned during conversation time and generate a graph based on frequency. The comprehensive report generation AI module (310) can generate a graph based on the frequency of emotion words mentioned during conversation time based on voice received during conversation time.
[0076] In one embodiment, the comprehensive report generation AI module (310) can generate and display visual statistics on emotion words present in the response of the conversation time. In one embodiment, the comprehensive report generation AI module (310) can display high-frequency vocabulary among the emotion words present in the response of the conversation time in a larger size, bold font, or other color.
[0077] FIG. 7 is a flowchart exemplarily illustrating the step of generating a comprehensive report in a cognitive behavioral play analysis device according to one embodiment of the present disclosure.
[0078] First, in step (S701), the cognitive behavioral play analysis device (130) can provide the cognitive behavioral play service to the user terminal.
[0079] In step (S703), the cognitive behavioral play analysis device (130) may provide a request for input of the cognitive behavioral play results to a user terminal, receive the cognitive behavioral play results, and provide feedback on the cognitive behavioral play results. Here, the feedback may include content related to the cognitive behavioral play and may include short messages regarding the cognitive behavioral play results, such as "You worked hard!" or "The participant is in first place!".
[0080] In step (S705), the cognitive behavioral play analysis device (130) provides a request for input of cognitive behavioral play observation data to a user terminal and can receive the cognitive behavioral play observation data. The step of receiving the cognitive behavioral play observation data is repeated a predetermined number of times and recorded along with the time at which the cognitive behavioral play observation data was received, and the cognitive behavioral play analysis device (130) can analyze the cognitive behavioral play observation data in a time-series manner. The cognitive behavioral play analysis device (130) can generate visualized result values by analyzing the cognitive behavioral play observation data in a time-series manner in the emotional domain, language domain, physical domain, sensory domain, and relationship domain.
[0081] In step (S707), the cognitive behavioral play analysis device (130) can provide a conversation time regarding the cognitive behavioral play to a participant who participated in the cognitive behavioral play, and receive a response to the conversation time.
[0082] In step (S709), the cognitive behavioral play analysis device (130) can analyze the response of the conversation time using an AI voice recognition function and determine whether a predetermined vocabulary exists in the response of the conversation time.
[0083] In step (S711), the cognitive behavioral play analysis device (130), when there is a predetermined vocabulary, generates at least one picture based on a generative AI using the predetermined vocabulary as a keyword and provides it to the user terminal, and can receive a selection of one of the at least one pictures.
[0084] In step (S713), the cognitive behavioral play analysis device (130) can generate a comprehensive report. In one embodiment, the comprehensive report may include at least one of a daily analysis graph, analysis content, picture card collection, conversation time summary, and a frequency graph of emotion words.
[0085]
[0086] In the embodiments of the present disclosure described above with reference to FIGS. 1 through 7, etc. (and throughout this specification), the user terminal (110) and the cognitive behavioral play analysis device (130) are described as being implemented based on a client-server model, particularly in which the client primarily provides only user input / output functions and most other functions are delegated to the server, but the present disclosure is not limited thereto. According to other embodiments of the present disclosure, it should be noted that the interactive digital cognitive behavioral play analysis system environment may be implemented with its functions evenly distributed between the user terminal and the server, or rather may be implemented relying more on the application environment installed on the user terminal. Furthermore, it should be noted that when the functions of the interactive digital cognitive behavioral play analysis system are implemented by distributing them between the user terminal and the server according to one embodiment of the present disclosure, the distribution of each function of the interactive digital cognitive behavioral play analysis system between the client and the server may be implemented differently depending on the embodiment.
[0087] Additionally, in the embodiments of the present disclosure described above with reference to FIGS. 1 to 3, specific modules are described as performing specific operations for convenience, but the present disclosure is not limited thereto. According to other embodiments of the present disclosure, it should be understood that the operations described above as being performed by a specific module may each be performed by a different, separate module.
[0088]
[0089] 100: Interactive Digital Cognitive-Behavioral Play Analysis System
[0090] 110: Multiple user terminals
[0091] 120: Communication network
[0092] 130: Cognitive Behavioral Play Analysis Device
Claims
1. As an interactive digital cognitive behavioral play analysis method using generative AI operating on a cognitive behavioral play analysis device, Step of providing cognitive behavioral play services to a user terminal; A step of providing a request for input of the above cognitive behavioral play result to a user terminal, receiving the above cognitive behavioral play result, and providing feedback on the above cognitive behavioral play result; A step of providing a request for input of cognitive behavioral play observation data to a user terminal and receiving the cognitive behavioral play observation data; A step of providing a conversation time regarding the cognitive behavioral play to multiple users who participated in the cognitive behavioral play, and receiving responses to the conversation time; A step of analyzing the response of the above conversation time using an AI voice recognition function to determine whether a predetermined vocabulary exists in the response of the above conversation time; and A method for analyzing interactive digital cognitive behavioral play using generative AI, comprising the step of, when there is a predetermined vocabulary, generating at least one picture using generative AI with the predetermined vocabulary as a keyword and providing it to a user terminal, and receiving a selection of one of the at least one picture.
2. In Paragraph 1, An interactive digital cognitive behavioral play analysis method using generative AI, comprising the step of providing an input request for the cognitive behavioral play observation data to a user terminal, the step of receiving the cognitive behavioral play observation data being repeated a predetermined number of times and recorded along with the time at which the cognitive behavioral play observation data was received, and further comprising the step of analyzing the cognitive behavioral play observation data chronologically to generate an analysis result report.
3. In Paragraph 2, The above analysis result report is an interactive digital cognitive behavioral play analysis method using generative AI that includes visualized result values obtained by analyzing the emotional domain, language domain, physical domain, sensory domain, and relationship domain in a time series.
4. In Paragraph 3, The above analysis result report is an interactive digital cognitive behavioral play analysis method using generative AI that includes a summary of the responses to the above conversation time and visual statistics on the vocabulary present in the responses to the above conversation time.
5. In Paragraph 3, The step of generating the analysis result report is An interactive digital cognitive behavioral play analysis method using generative AI, further comprising the step of providing a collection of the selected pictures.
6. In Paragraph 3, The above analysis result report is an interactive digital cognitive behavioral play analysis method using generative AI that includes a time-series analysis of the emotional domain, language domain, physical domain, sensory domain, and relationship domain.
7. In Paragraph 3, An interactive digital cognitive behavioral play analysis method using generative AI, wherein the step of analyzing the response of the above conversation time using an AI voice recognition function and determining whether a predetermined vocabulary exists in the response of the above conversation time is to determine whether it matches a predefined vocabulary.
8. In Paragraph 1, If the above-mentioned predetermined vocabulary exists, the step of generating at least one image using a generative AI with the above-mentioned predetermined vocabulary as a keyword and providing it to a user terminal is An interactive digital cognitive behavioral play analysis method using generative AI, which provides a picture generated in advance by generative AI using a combination of predetermined vocabulary.
9. A recording medium for executing an interactive digital cognitive behavioral play analysis method using generative AI executed by a computing device on a computing device, wherein the method of any one of claims 1 to 8 is executed on a computer.
10. An interactive digital cognitive behavioral play analysis device using generative AI, wherein the device is configured to execute the method of any one of claims 1 to 8.