Computer device for monitoring and / or evaluating a user's response to a cosmetic product over time during use of the cosmetic product and computer program

Abstract

Method, COMPUTER DEVICE for monitoring and / or evaluating a user's response to a cosmetic over time during cosmetic use AND COMPUTER PROGRAM product. The disclosure relates to a method, a computer device, and a device for monitoring and / or evaluating a user's response to a cosmetic over time during cosmetic use, said method comprising: obtaining a first data point concerning general user emotions; obtaining a second data point concerning specific user emotions; and displaying said first and second data points. The disclosure also relates to a computer-readable medium and a computer program product comprising instructions that, when executed, cause a computer device to perform the method. Figure for abstract: Figure 1

Description

Title of the invention: Method, COMPUTER DEVICE for monitoring and / or evaluating a user's response to a cosmetic product over time during cosmetic use AND COMPUTER PROGRAM Technical field

[0001] The disclosure relates to the field of cosmetics. More specifically, the disclosure relates to a method, a computer device, and an apparatus for monitoring and / or evaluating a user's response to a cosmetic product over time during cosmetic use. The disclosure also relates to a computer-readable medium and a computer program product. Context

[0002] Emotions play a crucial role in the development and innovation of cosmetic products. Several studies have demonstrated the positive emotional influence of cosmetics on well-being and self-esteem. The primary reason consumers use cosmetics is to feel good, and wearing makeup or applying a cosmetic product is a source of positive emotions.

[0003] Thus, there is a need for an effective means of capturing an implicit and explicit user response, including users' emotions and / or sensory peculiarities, to a cosmetic over time during cosmetic use to support and facilitate cosmetic product development. summary

[0004] The summary is provided to present a selection of concepts in a simplified form, which are further described below in the detailed description. This summary is not intended to identify key features or essential characteristics of the claimed subject matter, nor to be used to limit the scope of the claimed subject matter.

[0005] Various aspects and features of the disclosure are described in more detail below.

[0006] According to a first aspect of the disclosure, a method is proposed for monitoring and / or evaluating a user's response to a cosmetic over time during cosmetic use. This method comprises obtaining first data concerning general user emotions; obtaining second data concerning specific user emotions; and displaying said first and second data. In a preferred embodiment according to a first aspect of the disclosure, obtaining first data concerning general user emotions can be achieved by detecting a first piece of information concerning general user emotions over time during cosmetic use and then processing said first piece of information; said obtaining of a second piece of data concerning specific user emotions can be achieved by detecting a second piece of information concerning specific user emotions over time during cosmetic use and then processing said second piece of information.

[0007] In a preferred embodiment according to a first aspect of the disclosure, said method also includes obtaining a third piece of data concerning users' sensory characteristics and displaying said third piece of data. In a preferred embodiment according to a first aspect of the disclosure, said obtaining a third piece of data concerning users' sensory characteristics can be achieved by detecting a third piece of information concerning users' sensory characteristics over time during cosmetic use and then processing said third piece of information.

[0008] In another preferred embodiment according to a first aspect of disclosure, said process also includes associating said first data, said second data with said third data.

[0009] In another preferred embodiment according to a first aspect of disclosure, said obtaining of first data can be carried out by one of an electroencephalography (EEG) device, a brain electrical activity mapping (BEAM) device, a near-infrared spectroscopy (NIRS) device, a psychogalvanic response (GSR) device and a heart rate variability (HRV) device to obtain the general emotions in real time of users.

[0010] In another preferred embodiment according to a first aspect of disclosure, said obtaining of a second data point can be carried out by one of a temporal dominance of emotions (TDE) method, questionnaires, a survey and a focus group meeting (FGD) method to obtain the specific emotions of a user at different stages of a cosmetic use.

[0011] In another preferred embodiment according to a first aspect of disclosure, said obtaining of a third piece of data can be carried out by one of a temporal dominance of sensations (TDS) method and a method consisting of ticking all relevant temporal responses (TCATA) to obtain the sensory particularities of a user at different stages of a cosmetic use.

[0012] In another preferred embodiment according to a first aspect of disclosure, when obtaining a third piece of data concerning user sensory characteristics, said users may be specific users who are pre-trained.

[0013] In another preferred embodiment according to a first aspect of disclosure, general emotions can be a negative emotion, a neutral emotion, or a positive emotion.

[0014] In another preferred embodiment according to a first aspect of disclosure, specific emotions are psychological attributes reflecting a user's dominant emotional state and its change during the use of the cosmetic. In one preferred embodiment, specific emotions can be selected from a first list of attributes including nervous, curious, desirable, delighted, satisfied, pleasant, benevolent, safe, soothed / relaxed, calm, worried, disappointed, irritable, uncomfortable, happy, unpleasant, impatient, etc.

[0015] In another preferred embodiment according to a first aspect of disclosure, sensory characteristics are dominant sensory attributes that are linked to a user's sensory experience at a specific time during the use of the cosmetic. In a preferred embodiment, the sensory characteristics can be selected from a second list of attributes including sticky skin, oily skin, skin sheen, slippery skin, soft skin, plumped skin, visibility of fine lines, film on the skin, residue, penetration, adherence, dehydration, peeling, enveloping, refreshing, size, cut, fabric texture, fabric color, etc.

[0016] According to a second aspect of the disclosure, a computer device for monitoring and / or evaluating a user's response to a cosmetic over time during cosmetic use is planned, said computer device comprising a processor unit including computing circuitry configured to obtain a first data point concerning general user emotions and a second data point concerning specific user emotions; and a display unit including computing circuitry configured to display said first data point and said second data point.In a preferred embodiment according to a second aspect of the disclosure, said processor unit including computing circuitry is also configured to obtain first data concerning general user emotions by detecting first information concerning general user emotions over time during cosmetic use and then processing said first information; to obtain second data concerning specific user emotions by detecting second information concerning specific user emotions over time during cosmetic use and then processing said second information.

[0017] In a preferred embodiment according to a second aspect of disclosure, said processor unit including computing circuitry is also configured to obtain a third piece of data concerning sensory features of users; said display unit including computing circuitry is also configured to display said third data.

[0018] In a preferred embodiment according to a second aspect of disclosure, said processor unit including computing circuitry is also configured to obtain a third piece of data concerning user sensory characteristics by detecting a third piece of information concerning user sensory characteristics over time during cosmetic use and then processing said third piece of information.

[0019] In another preferred embodiment according to a second aspect of disclosure, said processor unit including computing circuitry is also configured to associate said first data, said second data with said third data.

[0020] In another preferred embodiment according to a second aspect of the disclosure, said processor unit comprises a first processor unit including computing circuitry configured to obtain said first data; a second processor unit including computing circuitry configured to obtain said second data; and a third processor unit including computing circuitry configured to obtain said third data.

[0021] In another preferred embodiment according to a second aspect of the disclosure, said first processor unit can be embodied in the form of one of an EEG device, a BEAM device, a NIRS device, a GSR device and an HRV device to obtain the general emotions of users in real time.

[0022] In another preferred embodiment according to a second aspect of disclosure, said second processor unit can be embodied as performing one of a TDE method, questionnaires, a survey and an FGD method to obtain the user's specific emotions at different stages of cosmetic use.

[0023] In another preferred embodiment according to a second aspect of the disclosure, said third processor unit can be embodied as performing one of a TDS method and a TCATA method to obtain the user's sensory characteristics at different stages of cosmetic use.

[0024] In another preferred embodiment according to a second aspect of disclosure, when said third processor unit including computing circuitry is configured to obtain said third data, said users may be specific users who are pre-trained.

[0025] In another preferred embodiment according to a second aspect of disclosure, general emotions can be one of a negative emotion, a neutral emotion or a positive emotion.

[0026] In another preferred embodiment according to a second aspect of disclosure, specific emotions are psychological attributes reflecting the user's dominant emotional state and its change during the use of the cosmetic. In one preferred embodiment, specific emotions can be selected from a first list of attributes including nervous, curious, desirable, delighted, satisfied, pleasant, benevolent, safe, soothed / relaxed, calm, worried, disappointed, irritable, uncomfortable, happy, unpleasant, impatient, etc.

[0027] In another preferred embodiment according to a second aspect of disclosure, sensory characteristics are dominant sensory attributes that are linked to a user's sensory experience at a specific time during cosmetic use. In a preferred embodiment, sensory characteristics can be selected from a second list of attributes including sticky skin, oily skin, skin sheen, slippery skin, soft skin, plumped skin, visibility of fine lines, film on the skin, residue, penetration, adherence, dehydration, peeling, enveloping, refreshing, size, cut, fabric texture, fabric color, etc.

[0028] In another preferred embodiment according to a second aspect of the disclosure, said first processor unit, said second processor unit and said third processor unit may be on different chips or may be integrated on the same chip.

[0029] According to a third aspect of the disclosure, a device for monitoring and / or evaluating a user's response to a cosmetic during the use of the cosmetic is proposed, the device comprising means for carrying out the process according to the first aspect of the disclosure.

[0030] According to a fourth aspect of the disclosure, a computer-readable medium is proposed on which instructions are stored which, when executed, cause a computer device to carry out the process according to the first aspect of the disclosure.

[0031] According to a fifth aspect of the disclosure, a computer program product is proposed comprising instructions which, when executed, cause a computer device to carry out the process according to the first aspect of the disclosure.

[0032] The above summary is provided solely for the purpose of summarizing certain example embodiments to offer a basic understanding of certain aspects of this disclosure. Accordingly, it should be understood that the embodiments described above are only examples and should not be interpreted as limiting the scope or intent of the disclosure in any way. It will be appreciated if the scope of this disclosure encompasses many potential implementations in addition to those summarized here, some of which will be described in more detail below. Brief description of the drawings

[0033] The above and other aspects, features, and benefits of various embodiments of the disclosure will become more apparent, by way of example, from the detailed description that follows with reference to the accompanying drawings, in which similar reference numerals or letters are used to designate similar or equivalent elements. The drawings are illustrated to facilitate a better understanding of the embodiments of the disclosure and are not necessarily drawn to scale, in which:

[0034] [Fig-1] [Fig.1] shows a flowchart of a monitoring and / or process evaluating a user's response to a cosmetic over time during cosmetic use in accordance with a first embodiment of a first aspect of this disclosure;

[0035] [Fig.2] [Fig.2] shows a flowchart of a monitoring and / or process evaluating a user's response to a cosmetic over time during cosmetic use in accordance with a second embodiment of a first aspect of this disclosure;

[0036] [Fig.3A] [Fig.3B] [Fig.3C] [Fig.3D] Figures 3a to 3d show an example of an application graph of a process in accordance with a first aspect of this disclosure; and

[0037] [Fig.4] [Fig.4] shows a schematic diagram of a computer device monitoring and / or evaluation of a user response to a cosmetic product over time during cosmetic use in accordance with a second aspect of this disclosure. DETAILED DESCRIPTION

[0038] The embodiments of this document will be described in detail below with reference to the accompanying drawings, on which embodiments are shown. These embodiments of this document may, however, be expressed in many different forms and should not be interpreted as being limited to the embodiments shown here. The elements of the drawings are not necessarily to scale with respect to each other. Throughout the document, similar numbers refer to similar elements.

[0039] The terminology used here is used for the purpose of describing particular embodiments only and is not intended to be limiting. As used here, the The singular forms "a", "an", "the", and "the" are also understood to include the plural forms, unless the context clearly indicates otherwise. It is further understood that the terms "includes", "comprehensive", "includes", and / or "including", when used here, specify the presence of the stated particularities, whole numbers, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other particularities, whole numbers, steps, operations, elements, components, and / or groups thereof.

[0040] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as that generally accepted. It shall further be understood that a term used herein shall be interpreted as having a meaning consistent with its meaning in the context of this descriptive document and the relevant art and shall not be interpreted in an idealized or excessively formal sense unless expressly so defined herein.

[0041] The present technology is described below with reference to the schematic diagrams and / or flowchart illustrations of the processes, apparatus (systems) and / or computer program products according to these embodiments. It is understood that blocks of the schematic diagrams and / or flowchart illustrations, and combinations of blocks in the schematic diagrams and / or flowchart illustrations, can be implemented by computer program instructions.These computer program instructions can be provided to a processor, controller, or control unit of a general-purpose computer, a specialized computer, and / or other programmable data processing device to produce a machine, such that the instructions, which execute via the computer's processor and / or other programmable data processing device, create means to implement the functions / actions specified in the schematic diagrams and / or the flowchart block(s).

[0042] Accordingly, this technology may be incorporated into hardware and / or software (including firmware, resident software, microcode, etc.). Furthermore, this technology may take the form of a computer program product on a computer-usable or computer-readable storage medium having computer-usable or computer-readable program code embedded in the medium for use by or in connection with an instruction execution system. For the purposes of this document, a computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

[0043] The embodiments of the present will be described below with reference to the drawings.

[0044] The inventive concept of disclosure is to monitor and / or evaluate a user's response to a cosmetic over time during cosmetic use and to associate general user emotions, specific user emotions with user sensory characteristics, the cosmetic product thus being able to be designed with targeted emotions by taking advantage of the power of sensory evaluation.

[0045] Fig. 1 shows a flowchart of a method 100 for monitoring and / or evaluating a user response to a cosmetic over time during cosmetic use in accordance with a first embodiment of a first aspect of this disclosure.

[0046] In order to obtain a user's response to a cosmetic product over time during cosmetic use, said method 100 is performed. Before performing said method 100, a set of users is chosen at random, and the number of users in the set is preferably greater than 20. As shown in [Fig. 1], said method 100 includes block 101 for obtaining initial data concerning users' general emotions. In a preferred embodiment, said block 101 for obtaining initial data concerning users' general emotions can be performed by detecting initial information concerning users' general emotions over time during cosmetic use and then processing said initial information.When users simultaneously use a trial cosmetic, they will experience different general emotions towards the cosmetic during their use. In a preferred example, these general emotions can be defined as negative, neutral, or positive, but this is not a limiting category. Of course, these general emotions can be defined as other types of emotions as well.

[0047] In a preferred example, said block 101 can be performed by one of an EEG device, a BEAM device, a NIRS device, a GSR device and an HRV device and similar to obtain the general emotions in real time of users.

[0048] EEG is one of the brain signal recording methods that can advantageously reveal the emotions felt by users when applying a cosmetic product. It is an electrophysiological monitoring method that records the brain's electrical activity. It is typically non-invasive, with electrodes placed along the scalp. When people experience a "happy / unhappy" valence, their brain releases certain neurotransmitters, which will affect changes in brain electrical activity. By measuring these changes, we can indirectly assess the emotional state of a person. Through EEG, we obtain real-time positive, neutral, or negative emotions, along with the intensity of those emotions. With the power of EEG, this emotional data reflects consumers' true emotional reactions. For example, in a trial of a face mask, users might experience a negative emotion when they take it out and unfold it, a neutral emotion when they apply and adjust it to their face, and a positive emotion when they open the package.

[0049] NIRS is a non-invasive optical imaging technology that uses near-infrared light to measure changes in cerebral blood flow. Emotional changes are often accompanied by changes in brain activity, which in turn lead to changes in blood flow. NIRS devices indirectly reflect emotional state by detecting these changes.

[0050] The GSR device measures skin conductance or resistance, which is caused by the activity of the sweat glands. When people experience emotional arousal, such as stress, excitement, or fear, sweat gland activity increases, resulting in increased skin conductance. The GSR device measures these changes to assess the emotional response.

[0051] The HRV device measures the natural variability of heart rate, that is, the change in the time interval between consecutive heartbeats. Heart rate variability is an important indicator of autonomic nervous system activity, which is closely linked to emotional state. For example, stress and tension are usually associated with decreased HRV, while a relaxed state is associated with increased HRV.

[0052] One of the aforementioned devices is used to collect individual physiological data simultaneously. The physiological data is then processed, such as by filtering, denoising, and normalization, etc. Next, emotion-related characteristics are extracted from the processed data, such as frequency band power, heart rate variability index, skin conductance level, etc., to obtain general, real-time emotions of users.

[0053] Emotion recognition by an EEG device, a BEAM device, a NIRS device, a GSR device, an HRV device, and similar devices always focuses on dimensional patterns rather than capturing specific emotions. To gain a better understanding of specific emotions, other approaches must be combined in a complementary manner. For this purpose, said method 100 also includes block 102 for obtaining a second piece of data concerning specific user emotions. In a preferred embodiment, said Block 102, which involves obtaining a second piece of data concerning specific user emotions, can be achieved by detecting a second piece of information about these emotions over time during cosmetic use and then processing that second piece of information. In a preferred example, these specific emotions are psychological attributes reflecting the user's dominant emotional state and how it changes during cosmetic use.

[0054] In a preferred example, when users simultaneously use the trial cosmetic, they can select their specific dominant emotions from among said psychological attributes on a panel of a device over time during cosmetic use. That is, users must select a new dominant emotion each time they perceive a change in dominant emotions. Said psychological attributes can be predefined. For example, it is well known that there are 6 basic types of emotions: happiness, sadness, fear, disgust, anger, and surprise. These basic emotions can be further divided into nervous, curious, desirable, delighted, satisfied, pleasant, benevolent, secure, soothed / relaxed, calm, worried, disappointed, irritable, uncomfortable, happy, unpleasant, impatient, and the like. Other specific emotions can be defined according to actual needs.For example, in the case of a product trial involving a face mask, users may feel nervous when they open the mask, users may feel relaxed and calm when they apply the mask, and users may feel desirable when they remove the mask.

[0055] In a preferred example, block 102 can be performed by one of a TDE method, questionnaires, a survey and an FGD method to obtain the specific emotions of the user at different stages of cosmetic use.

[0056] A TDE method is a real-time emotional assessment tool that can capture users' emotional experience at a specific moment. In research on the emotional experience of using a cosmetic product, users can report their emotional state in real time at different stages of a product experience (such as before, during, and after use). This is usually done through mobile applications or computer programs, and users can select their current emotional attributes using sliders or buttons.

[0057] Questionnaires are a standardized method of data collection that can be used to assess users' emotional response to the use of cosmetics. Questionnaires may include a list of emotional words, allowing users to select or rate the emotions they feel when using the product. Questionnaires may also include Questions about user satisfaction with products, their preferences, and their experience. This is usually done through mobile applications or computer programs, and users can select their current emotional attributes using sliders or buttons.

[0058] The survey is usually used to collect a wider range of data, which can be online or on paper. The survey may include questions about users' emotional experiences with cosmetics and their opinions on the characteristics, effects, and brands of the products. This can be done through mobile applications or computer programs, and users can select their current emotional attributes using sliders or buttons.

[0059] A Focused Gesture Discussion (FGD) method is a qualitative research method that involves organizing a focus group of users to discuss their opinions and emotional experiences on a specific topic (in this case, cosmetic use). In FGD, the host facilitates the discussion and encourages participants to share their emotional reactions and personal stories about product use. This method can provide insight into users' emotional experiences and how these emotions affect their product selection and use. This can be done through mobile applications or computer programs, and users can select their current emotional attributes using sliders or buttons.

[0060] Using one of the aforementioned methods, data concerning specific user emotions are collected and then processed to identify emotional experience profiles and trends.

[0061] Thanks to block 102, we can obtain descriptions of specific emotions over time and know which specific emotion is dominant at any given time.

[0062] Following blocks 101 and 102, said method 100 also includes block 103 for displaying said first data and said second data. Through the visual presentation of said first data and said second data, we can obtain the real-time objective emotions and the real-time subjective emotions of the user and understand the emotional journey for the cosmetic during cosmetic use.

[0063] The orders in blocks 101 to 103 are merely exemplary and not limited; therefore, they can be changed. For example, blocks 101 and 102 can be executed simultaneously or at different times.

[0064] Thanks to process 100, we can understand emotions from the subjective and objective point of view, with the direction, the intensity of the emotion and the specific emotions.

[0065] Figure 2 shows a flowchart of a method 200 for monitoring and / or evaluating a user response to a cosmetic over time during cosmetic use in accordance with a second embodiment of a first aspect of this disclosure.

[0066] In order to further understand which sensory peculiarity evokes a specific emotion at each key moment and how use, fragrance, sensory peculiarities lead to an emotional evolution, the disclosure relates to a method 200 of monitoring and / or evaluating a user's response to a cosmetic over time during cosmetic use.

[0067] As shown in [Fig.2], said process 200 comprises blocks 201, 202, 203, 204, in which block 201 corresponds to block 101 of process 100, and block 202 corresponds to block 102 of process 100.

[0068] Before performing said method 200, users are selected at random, preferably with more than 20 users. When using a test cosmetic simultaneously, users experience different general and specific emotions toward the cosmetic during its use. As shown in [Fig. 2], said method 200 includes block 201 for obtaining initial data concerning users' general emotions. In a preferred embodiment, obtaining this initial data concerning users' general emotions can be achieved by detecting initial information about users' general emotions over time during cosmetic use and then processing this initial information.In a preferred example, these general emotions can be defined as a negative emotion, a neutral emotion, or a positive emotion, which is not exhaustive. Of course, these general emotions can be defined as other types of emotions.

[0069] In a preferred example, said block 201 can be performed by one of an EEG device, a BEAM device, a NIRS device, a GSR device and an HRV device and similar to obtain the general emotions in real time of users.

[0070] EEG is one of the brain signal recording methods that can advantageously reveal the emotions felt by users when applying a cosmetic product. It is an electrophysiological monitoring method that records the brain's electrical activity. It is typically non-invasive, with electrodes placed along the scalp. When people experience a "happy / unhappy" valence, their brain releases certain neurotransmitters, which will affect changes in brain electrical activity. By measuring these changes, we can indirectly assess emotional state. of a person. Through EEG, we obtain real-time positive, neutral, or negative emotions, along with their intensity. With the power of EEG, this emotional data reflects consumers' true emotional reactions. For example, in a trial of a face mask, users might experience a negative emotion when opening the mask, a neutral emotion when applying it, and a positive emotion when removing it.

[0071] NIRS is a non-invasive optical imaging technology that uses near-infrared light to measure changes in cerebral blood flow. Emotional changes are often accompanied by changes in brain activity, which in turn lead to changes in blood flow. NIRS devices indirectly reflect emotional state by detecting these changes.

[0072] The GSR device measures skin conductance or resistance, which is caused by the activity of the sweat glands. When people experience emotional arousal, such as stress, excitement, or fear, sweat gland activity increases, resulting in increased skin conductance. The GSR device measures these changes to assess the emotional response.

[0073] The HRV device measures the natural variability of heart rate, that is, the change in the time interval between consecutive heartbeats. Heart rate variability is an important indicator of autonomic nervous system activity, which is closely linked to emotional state. For example, stress and tension are usually associated with decreased HRV, while a relaxed state is associated with increased HRV.

[0074] One of the aforementioned devices is used to collect individual physiological data simultaneously. The physiological data is then processed, such as by filtering, denoising, and normalization, etc. Next, emotion-related characteristics are extracted from the processed data, such as frequency band power, heart rate variability index, skin conductance level, etc., to obtain general, real-time emotions of users.

[0075] Emotion recognition by an EEG device, a BEAM device, a NIRS device, a GSR device, an HRV device, and similar devices always focuses on dimensional patterns rather than capturing specific emotions. To gain a better understanding of specific emotions, other approaches must be combined in a complementary manner. For this purpose, said method 200 also includes block 202 for obtaining a second piece of data concerning specific user emotions. In a preferred embodiment, said block 202 for obtaining a second piece of data concerning specific emotions User behavior can be achieved by detecting a second piece of information regarding specific user emotions over time during cosmetic use and then processing that second piece of information. In a preferred example, these specific emotions are psychological attributes reflecting the user's dominant emotional state and how it changes during cosmetic use.

[0076] In a preferred example, when users simultaneously use the trial cosmetic, they can select their specific emotions from the psychological attributes displayed on a device panel over time during cosmetic use. That is, users must select a new dominant emotion each time they perceive a change in their dominant emotions. These psychological attributes can be predefined. For example, it is well known that there are six basic types of emotions: happiness, sadness, fear, disgust, anger, and surprise. These basic emotions can be further divided into nervous, curious, desirable, delighted, satisfied, pleasant, benevolent, secure, soothed / relaxed, calm, worried, disappointed, irritable, uncomfortable, happy, unpleasant, impatient, and the like. Other specific emotions can be defined according to actual needs.For example, in the case of a product trial such as a face mask, users may feel impatient when they open the mask, users may feel relaxed when they apply the mask, and users may feel satisfied when they remove the mask.

[0077] In a preferred example, block 202 can be performed by one of a TDE method, questionnaires, a survey and an FGD method to obtain the specific emotions of the user at different stages of cosmetic use.

[0078] A TDE method is a real-time emotional assessment tool that can capture users' emotional experience at a specific moment. In researching the emotional experience of using a cosmetic product, users can report their dominant emotion in real time at different stages of their experience with the product (such as before, during, and after use). This is usually done through mobile applications or computer programs, and users can select their current dominant emotional attributes using sliders or buttons.

[0079] Questionnaires are a standardized method of data collection that can be used to assess users' emotional responses to the use of cosmetics. Questionnaires may include a list of emotional words, allowing users to select or rate the dominant emotions they experience when using the product. Questionnaires may also include questions about user satisfaction with products and preferences. and experience. This is usually done through mobile applications or computer programs, and users can select their current emotional attributes using sliders or buttons.

[0080] The survey is usually used to collect a wider range of data, which can be online or on paper. The survey may include questions about users' emotional experiences with cosmetics and their opinions on product features, effects, and brands. This can be done through mobile applications or computer programs, and users can select their current emotional attributes using sliders or buttons.

[0081] A Focused Gesture Discussion (FGD) method is a qualitative research method that involves organizing a focus group of users to discuss their opinions and emotional experiences on a specific topic (in this case, cosmetic use). In FGD, the host facilitates the discussion and encourages participants to share their emotional reactions and personal stories about product use. This method can provide insight into users' emotional experiences and how these emotions affect their product selection and use. This can be done through mobile applications or computer programs, and users can select their current emotional attributes using sliders or buttons.

[0082] Using one of the aforementioned methods, data concerning specific user emotions are collected and then processed to identify emotional experience profiles and trends.

[0083] Thanks to audit block 202, we can obtain descriptions of specific emotions over time and know which specific emotion is dominant at any given time.

[0084] In order to obtain objective sensory characteristics in real time during cosmetic use, said method 200 also includes block 203. Block 203 involves obtaining a third piece of data concerning user sensory characteristics. In a preferred embodiment, obtaining this third piece of data concerning user sensory characteristics can be achieved by detecting a third piece of information concerning user sensory characteristics over time during cosmetic use and then processing said third piece of information. In a preferred embodiment, when obtaining this third piece of data concerning user sensory characteristics, said users are preferably specific users who are pre-trained.The number of pre-trained users is preferably greater than 20, allowing them to use a reference to determine objective sensory characteristics in real time during cosmetic use. In a preferred embodiment, these sensory features are dominant sensory attributes that relate to the user's sensory experience at a specific point during cosmetic use. In a preferred example, when users are simultaneously using the trial cosmetic, they can select their specific sensory features from a sensory attribute over time during cosmetic use. The sensory attributes can be predefined. In a preferred example, the sensory attributes might include adherence, dehydration, peeling, envelopment, refreshment, size, cut, fabric texture, fabric color, stickiness, oiliness, sheen, slipperiness, softness, plumpness, visibility of fine lines, film on the skin, residue, penetration, and the like. Other sensory features can be defined based on actual needs.For example, they experience a cooling sensation when applying the mask, and sticky skin when removing the mask.

[0085] In a preferred example, block 203 can be performed by one of a TDS method and a TCATA method and similar to obtain the sensory characteristics of the user at different stages of cosmetic use.

[0086] The TDS method and the TCATA method are two dynamic sensory evaluation tools, which can be used to obtain the sensory perception of users in the process of experiencing cosmetic products.

[0087] The TDS method is a multidimensional dynamic sensory analysis process that allows pre-trained users to choose their dominant perception at any time by providing a list describing product attributes. In the TDS method, pre-trained users are asked to continuously report the sensory attributes they experience throughout the cosmetic product experience process, so as to obtain dynamic, multi-attribute sensory evaluation results. The TDS method can describe the characteristics of cosmetic products that change over time, which is useful for better understanding the sensory particularities of cosmetic products.

[0088] The TCATA method is a dynamic description analysis process that extends the CATA method and adds a temporal dimension for evaluating cosmetic products. In the TCATA method, pre-trained users must choose whether a cosmetic product attribute can be perceived at a specific time and continuously track the selection and deselection of the attribute over time, so that the pre-trained users can characterize the evolution of the cosmetic product's sensory changes. The TCATA method allows pre-trained users to mark all the attributes they can perceive in the evaluation process and to change their choices over time, thus providing a comprehensive understanding of the changes in the product's sensory characteristics over time.

[0089] Through one of these two methods, we can capture the dynamic changes in sensory attributes of cosmetic products during consumption and consumers' emotional responses to these changes. This information is very useful for understanding how consumers perceive and evaluate cosmetic products and can help product developers optimize cosmetic products to meet consumers' sensory and emotional needs.

[0090] Thanks to block 203, we can obtain dominant sensory characteristics over time.

[0091] After blocks 201, 202, and 203, said method 200 also includes block 204 for displaying said first data, said second data, and said third data. Through the visual presentation of said first, said second, and said third data, we can obtain the real-time objective emotions, the real-time sensory and subjective emotions of the user, understand the emotional and sensory journey for the cosmetic during its use, and how the use, fragrance, and sensory characteristics lead to an emotional evolution.

[0092] The orders in blocks 201 to 204 are merely exemplary and not limited; therefore, they can be changed. In one example, the execution orders in blocks 201, 202, and 203 can be exchanged as desired.

[0093] By the process 200, we can understand emotions both subjectively and objectively, with the direction, intensity of the emotion and the specific emotion and obtain objective sensory features in real time during the use of cosmetics.

[0094] In a preferred embodiment, said method 200 also includes an association block linking said first data, said second data, and said third data. Through such an association, we can understand which sensory attribute evokes a specific emotion each time and decode the link between emotion and sensory perception for cosmetic innovation and design, which could accelerate and facilitate the cosmetic product development process.

[0095] Figures 3a to 3d show an example of an application graph of said method 200 in the case of a test of a mask in accordance with a first aspect of this disclosure.

[0096] To further illustrate disclosure, a type of face mask is chosen as an example. A group of participants applied the mask blindfolded.

[0097] Figure 3a shows examples of results obtained using an EEG device. In Figure 3a, the participants are not pre-trained and the number of participants is 40. For each participant, the mean of the alpha skewness The frontal skewness over time is calculated for each action. Then, the average value across the 40 participants is calculated to create the EEG line graph. Four horizontal dashed lines in the EEG line graph represent the 25th, 45th, 55th, and 75th percentiles. These are calculated by standardizing the frontal alpha skewness of each participant by subtracting the mean of the entire dataset, calculating the average data for each action at each time point across the 40 participants, and finally determining the percentiles.The outcome labeled as the emotional index was categorized as very positive (above the 75th percentile), positive (range 55% to 75%, representing a good emotional experience), neutral (range 45% to 55%, indicating no positive or negative emotional experience), negative (range 25% to 45%, representing a poor emotional experience), and very negative (less than 25%, via global data estimation). We also tested differences in frontal alpha asymmetry based on asymmetric brain response findings, particularly in the alpha band associated with approach and avoidance behavior (Harmon-Jones, 2003; Ohme et al., 2010; Rollwaage et al., 2017).

[0098] In Figure 3a, we can see an emotional pathway for this type of face mask. For example, participants are determined to have a very negative emotional reaction when they take out and unfold the mask and to have a positive emotional reaction when they open the package.

[0099] Figure 3b shows examples of results obtained using a TDE method with a questionnaire. In Figure 3b, the participants are pre-trained, and the number of participants is 30. Figure 3b clearly shows a temporal emotional journey derived from said TDE method. As can be seen in Figure 3b, when they go outside and apply the face mask, most participants feel curious and desirable, while a small number of participants feel nervous and anxious; during the 15 minutes that the mask remains on the face, the dominant emotion is relaxed and calm. When they remove the mask and experience the immediate finish of the skin, the dominant emotion is calm and desirable. Using said TDE method, the dominance rate of specific emotions can be calculated at any time, as shown in Figure 3b.

[0100] Figure 3c shows examples of results obtained using a TDS method with two questionnaires. In Figure 3c, the participants are pre-trained and the number of participants is 30. Figure 3c clearly shows a temporal sensory pathway derived from said TDS method. As can be seen in Figure 3c, at first glance, the participants are attracted to the texture of the fabric, feel a cooling sensation once the masks are put on their faces, a cooling sensation This sensation continued for up to 10 minutes, and participants experienced a persistent feeling of envelopment while the masks remained on their faces until removal. Approximately 13 minutes after mask application, participants felt the masks begin to peel off. Upon mask removal, the residue attracted participants' attention, followed by a sticky (not very intense but continuous) sensation, a lasting film on the skin, and a non-slippery feel. Using the TDS method, the dominance rate of these sensory characteristics can be calculated at any time, as shown in Figure 3c.

[0101] As can be seen in Figures 3a to 3c, the EEG used in Figure 3a includes the steps "receiving and observing the package" and "opening the package," to mimic real consumer behavior. The TDE used in Figure 3b begins with "removing and unfolding the mask." The TDS used in Figure 3c begins with "applying and adjusting it to the face." For the immediate skin finish, the EEG lasts approximately 1 to 3 minutes, depending on participant behavior; the TDS and TDE durations are 5 minutes.

[0102] In order to understand emotions and sensory particularities more intuitively, the first data point obtained using an EEG device, the second data point obtained using the TDE method, and the third data point obtained using the TDS method can be displayed simultaneously. More specifically, Figure 3d simultaneously shows objective sensory data, subjective emotional data, and objective emotional data.

[0103] As can be seen in Figure 3d, we can not only understand the complete images of general and specific emotions, but also understand which sensory features evoke a specific emotion at each key moment, thus decoding the link between emotions and sensory perception for the design and development of cosmetic products, which can accelerate cosmetic product development.

[0104] Fig. 4 shows a schematic diagram of a computer device 400 for monitoring and / or evaluating a user's response to a cosmetic over time during cosmetic use in accordance with a second aspect of this disclosure.

[0105] As shown in [Fig. 4], said computer device 400 comprises a processor unit 401 and a display unit 402 that can communicate with each other via a wired or wireless connection. A set of users is selected at random, and the number of users is preferably greater than 20. When using a cosmetic product under trial simultaneously, said users have different general emotions toward the cosmetic during its use. Said unit The 401 processor comprises a first processor unit including computing circuitry configured to obtain said first data concerning general user emotions; and a second processor unit including computing circuitry configured to obtain said second data concerning specific user emotions.

[0106] In a preferred example, these general emotions may be defined as a negative emotion, a neutral emotion, or a positive emotion, which is not limiting. Of course, these general emotions may be defined as other types of emotions.

[0107] In a preferred example, said processor unit 401 comprises a first processor unit including computing circuitry configured to obtain first data concerning general user emotions by detecting first information concerning general user emotions over time during cosmetic use and then processing said first information.

[0108] In a preferred example, said first processor unit may be embodied in the form of one of an EEG device, a BEAM device, a NIRS device, a GSR device and an HRV device and the like for obtaining general real-time emotions of users.

[0109] EEG is one of the brain signal recording methods that can advantageously reveal the emotions felt by users when applying a cosmetic product. It is an electrophysiological monitoring method that records the brain's electrical activity. It is typically non-invasive, with electrodes placed along the scalp. When people experience a "happy / unhappy" valence, their brain releases certain neurotransmitters, which will affect changes in brain electrical activity. By measuring these changes, we can indirectly assess a person's emotional state. Through EEG, we obtain real-time positive, neutral, or negative emotions, along with the intensity of these emotions. With the power of EEG, this emotional data reflects the consumers' true emotional reaction.For example, consumers may experience a negative emotion when they open the mask, a neutral emotion when they apply the mask, and a positive emotion when they remove the mask.

[0110] NIRS is a non-invasive optical imaging technology that uses near-infrared light to measure changes in cerebral blood flow. Emotional changes are often accompanied by changes in brain activity, which in turn lead to changes in blood flow. NIRS devices indirectly reflect emotional state by detecting these changes.

[0111] The GSR device measures skin conductance or resistance, which is caused by the activity of the sweat glands. When people experience an emotional arousal, such as stress, excitement, or fear, the activity of the sweat glands increases, resulting in an increase in skin conductance. The GSR device measures these changes to assess the emotional response.

[0112] The HRV device measures the natural variability of heart rate, that is, the change in the time interval between consecutive heartbeats. Heart rate variability is an important indicator of autonomic nervous system activity, which is closely linked to emotional state. For example, stress and tension are usually associated with decreased HRV, while a relaxed state is associated with increased HRV.

[0113] One of the aforementioned devices is used to collect individual physiological data simultaneously. The physiological data is then processed, such as by filtering, denoising, and normalization, etc. Next, emotion-related characteristics are extracted from the processed data, such as frequency band power, heart rate variability index, skin conductance level, etc., to obtain general, real-time user emotions.

[0114] Thanks to said first processor unit, we can obtain a first piece of data concerning general emotions over time during the use of cosmetics.

[0115] Emotion recognition by an EEG device, a BEAM device, a NIRS device, a GSR device, an HRV device, and similar devices, always focuses on dimensional patterns, rather than on capturing specific emotions. To gain a better understanding of specific emotions, other approaches must be combined in a complementary manner.

[0116] In order to obtain specific user emotions during cosmetic use, said processor unit 401 also includes a second processor unit comprising computing circuitry configured to obtain a second data point concerning specific user emotions. In a preferred example, when users use the trial cosmetic simultaneously, they can select their specific dominant emotions from psychological attributes on a panel of a device over time during cosmetic use. That is, users must select a new dominant emotion each time they perceive a change in dominant emotions. The psychological attributes can be predefined. For example, it is well known that there are six basic types of emotions: happiness, sadness, fear, disgust, anger, and surprise.These basic emotions can be further divided into nervous, curious, desirable, delighted, satisfied, pleasant, benevolent, secure, soothed / relaxed, calm, worried. Disappointed, irritable, uncomfortable, happy, unpleasant, impatient, and similar emotions. Other specific emotions can be defined according to actual needs.

[0117] In a preferred example, said second processor unit, including computing circuitry, is configured to obtain a second piece of data concerning specific user emotions by detecting a second piece of information about specific user emotions over time during cosmetic use and then processing said second piece of information. By analyzing said second user data, we can obtain descriptions of specific emotions over time and determine which specific emotion is dominant at a given time.

[0118] In a preferred example, said second processor unit may use one of a TDE method, questionnaires, a survey and an FGD method and similar to obtain the specific emotions of the user at different stages of a cosmetic use.

[0119] A TDE method, questionnaires, a survey, and an FGD method are the same as those mentioned above. Therefore, to avoid repetition, they are not described in detail.

[0120] Said computer device 400 also includes a display unit 402 comprising computing circuitry configured to simultaneously display said first data and said second data. Through the visual presentation of said first data and said second data, it is possible to obtain the real-time objective emotions and the real-time subjective emotions of the user and to understand the emotional journey for the cosmetic during cosmetic use.

[0121] In order to further understand which sensory characteristic evokes a specific emotion each time and how the use, the fragrance, and the sensory characteristics lead to an emotional evolution, in a preferred example, said processor unit 401 also includes a third processor unit comprising computing circuitry that is configured to obtain a third piece of data concerning users' sensory characteristics. In a preferred embodiment, a third processor unit including computing circuitry is configured to obtain a third piece of data concerning users' sensory characteristics by detecting a third piece of information concerning users' sensory characteristics over time during cosmetic use and then processing said third piece of information.When obtaining a third piece of data concerning users' sensory characteristics, these users may be specific, pre-trained users who can thus use a reference to determine objective sensory characteristics in real time during cosmetic use. In a preferred example, when... Pre-trained users simultaneously use the trial cosmetic and can select their specific sensory preferences from the psychological attributes displayed on a device panel over time during cosmetic use. These psychological attributes can be predefined. In a preferred example, they might include adherence, dehydration, peeling, envelopment, refreshment, size, cut, fabric texture, fabric color, stickiness, oiliness, sheen, slipperiness, softness, plumpness, visibility of fine lines, film on the skin, residue, penetration, and similar attributes. Additional sensory preferences can be defined based on actual needs.

[0122] In a preferred example, said third processor unit may use one of a TDS method and a TCATA method and similar to obtain the sensory characteristics of the user at different stages of a cosmetic use.

[0123] A TDS method and a TCATA method are the same as those mentioned above. Therefore, to avoid repetition, they are not described in detail.

[0124] By analyzing said third data from pre-trained users, we can obtain dominant sensory characteristics over time.

[0125] In a preferred example, said display unit 402, including computing circuitry, is also configured to simultaneously display said first data, said second data, and said third data. Said display unit 402 may be a liquid crystal display, an organic light-emitting diode display, a cathode ray tube, a plasma display, a projector display, and the like. Through the visual presentation of said first, said second, and said third data, we can obtain the real-time objective emotions and the real-time subjective emotions of the user, understand the emotional journey for the cosmetic during cosmetic use, and how the use, fragrance, and sensory characteristics lead to an emotional evolution.

[0126] Thanks to audit computer device 400, we can understand emotion both subjectively and objectively, with the direction, intensity of emotion and specific emotion and obtain objective sensory features in real time during cosmetic use.

[0127] In a preferred example, said computer device 400 also includes components for associating said first data, said second data, and said third data. Through such an association, we can understand which sensory attribute evokes a specific emotion each time and decode the link between emotion and sensory perception for cosmetic innovation and design. Thus, it is proposed an effective way to design cosmetics with a targeted emotion by leveraging the power of sensory evaluation.

[0128] In a preferred example, said first processor unit, said second processor unit and said third processor unit may be on different chips or may be integrated on the same chip.

[0129] The computing device 400 can be, for example, a service provider's server, a customer-associated device (e.g., a client device), a system-on-a-chip, and / or any other suitable computing device or computer system. In various implementations, the computing device 400 can take on a variety of different configurations. For example, the computing device 400 can be implemented as a computer-like device, including a personal computer, a desktop computer, a multi-monitor computer, a laptop computer, a mini-laptop computer, and the like. The computing device 400 can also be implemented as a mobile-like device, which includes mobile devices such as mobile phones, portable music players, portable gaming devices, tablets, multi-monitor computers, and the like.The 400 computing device can also be implemented as a television-like device that includes a device presenting a generally larger screen in a simple viewing environment or connected to it. These devices include televisions, set-top boxes, game consoles, and the like.

[0130] In one embodiment, the computing circuitry includes, among other things, one or more computing devices such as a processor (for example, a microprocessor, a quantum processor, a qubit processor, etc.), a central processing unit (CPU), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), and the like, or any combination thereof, and may include electronic elements or components of discrete digital or analog circuits, or combinations thereof. In one embodiment, the computing circuitry includes one or more ASICs having a plurality of predefined logic components. In one embodiment, the computing circuitry includes one or more FPGAs, each having a plurality of programmable logic components.

[0131] In one embodiment, the computing circuitry includes one or more electrical circuits, printed circuits, flexible circuits, electrical conductors, electrodes, cavity resonators, conductive traces, ceramic pattern electrodes, electromechanical components, transducers, and the like.

[0132] In one embodiment, the computing circuitry includes one or more operationally coupled components (for example, coupled in a (communicative, electromagnetic, magnetic, ultrasonic, optical, inductive, electrical, capacitive, wireless, and similar) to each other. In one embodiment, the circuitry includes one or more remotely located components. In one embodiment, the remotely located components are operationally coupled, for example, via wireless communication. In one embodiment, the remotely located components are operationally coupled, for example, via one or more communication modules, receivers, transmitters, transceivers, and similar devices.

[0133] In one embodiment, the computing circuitry includes memory that, for example, stores instructions or information. Non-limiting examples of memory include volatile memory (e.g., random access memory (RAM), dynamic random access memory (DRAM), and the like), non-volatile memory (e.g., read-only memory (ROM), electrically erasable and programmable read-only memory (EEPROM), compact disc with read-only memory (CD-ROM), and the like), persistent memory, and the like. Other non-limiting examples of memory include erasable and programmable read-only memory (EPROM), flash memory, and the like. In one embodiment, the memory is coupled, for example, to one or more computing devices by one or more instructions, information, or power buses. In one embodiment, the computing circuitry includes one or more databases stored in memory.In one embodiment, the computing circuitry includes one or more lookup tables stored in memory.

[0134] In one embodiment, the computing circuitry includes one or more computer-readable media players, interface jacks, universal serial bus (USB) ports, memory card slots and the like, and one or more input / output components such as, for example, a graphical user interface, a display, a keyboard, a numeric keypad, a trackball, a joystick, a touch screen, a mouse, a switch, a dial and the like, and any other peripheral device.In one embodiment, the computing circuitry includes one or more user input / output components that are operationally coupled to at least one computing device configured to control (electrical control, electromechanical control, software implementation, firmware implementation, or other, or combinations thereof) at least one parameter associated, for example, with the determination of one or more tissue thermal properties reactive to detected ignition voltage shifts.

[0135] In one embodiment, the computing circuitry includes electrical circuitry forming a universal computing device configured by a computer program (for example, a universal computer configured by a computer program which at least partially performs the processes and / or devices described herein, or a microprocessor configured by a computer program which at least partially performs the processes and / or devices described herein), electrical circuitry forming a memory device (e.g., forms of memory (e.g., RAM, flash, read-only, etc.)), electrical circuitry forming a communication device (e.g., a modem, a communication switch, optical-electrical equipment, etc.), and / or any non-electrical analogue of these, such as an optical or other analogue.

[0136] A second aspect of the disclosure also relates to a device for monitoring and / or evaluating a user's response to a cosmetic during cosmetic use, the device comprising means for carrying out said process in accordance with a first aspect of this disclosure.

[0137] The disclosure also includes a computer program product comprising instructions which, when executed, cause a processor to carry out said process in accordance with a first aspect of this disclosure.

[0138] One embodiment of the disclosure may be a manufacturing article in which a machine-readable, non-transient medium (such as microelectronic memory) on which instructions (e.g., computer code) are stored that program one or more data processing components (generally referred to herein as a "processor") to perform the operations described above. In other embodiments, some of these operations may be performed by specific hardware components that contain hardwired logic (e.g., dedicated digital filter blocks and state machines). Alternatively, these operations may be performed by any combination of programmed data processing components and fixed hardwired circuit components.

[0139] Although the embodiments have been illustrated and described herein, it will be understood by those skilled in the art that various changes and modifications can be made, and equivalents can be substituted for elements thereof, without departing from the true scope of the present technology. Furthermore, numerous modifications can be made to suit a particular situation and the teachings of this technology without departing from its core scope. Therefore, it is intended that these embodiments are not limited to the particular embodiment disclosed as the best envisaged for implementing this technology, but that these embodiments include all embodiments within the scope of the appended claims.

Claims

Demands

1. A method for monitoring and / or evaluating a user's response to a cosmetic over time during cosmetic use implemented by a computer device, said computer device comprising: a processor unit (401) including computing circuitry configured to obtain a first data point concerning general user emotions and a second data point (402) concerning specific user emotions; and a display unit including computing circuitry configured to display said first data point and said second data point, said method comprising: - obtaining (101) a first data point concerning general user emotions; - obtaining (102) a second data point concerning specific user emotions; and - displaying (103) said first data point and said second data point.

2. A method according to claim 1, wherein said method also comprises: - obtaining a third piece of data concerning user sensory characteristics; and - displaying said third piece of data.

3. A method according to claim 1 or 2, wherein the acquisition of first data can be carried out by one of an electroencephalography (EEG) device, a brain electrical activity mapping (BEAM) device, a near-infrared spectroscopy (NIRS) device, a psychogalvanic response (GSR) device and a heart rate variability (HRV) device to obtain the general emotions in real time of users.

4. A method according to any one of the preceding claims, wherein said obtaining of a second data point can be carried out by one of a temporal dominance of emotions (TDE) method, questionnaires, a survey and a focus group meeting (FGD) method to obtain the specific emotions of a user at different stages of cosmetic use.

5. A method according to claim 2, wherein said obtaining of a third piece of data can be carried out by one of a temporal dominance of sensations (TDS) method and a method consisting of ticking all relevant temporal responses (TCATA) to obtain the sensory characteristics of a user at different stages of cosmetic use.

6. A method according to claim 2, wherein, when obtaining a third piece of data concerning the sensory characteristics of users, said users may be specific users who are pre-trained.

7. Device for monitoring and / or evaluating a user's response to a cosmetic during cosmetic use, the device includes means for carrying out the process according to any one of claims 1 to 6.

8. Non-transient, computer-readable medium on which instructions are stored which, when executed, cause a computer device to carry out the process according to any one of claims 1 to 6.

9. Product computer program comprising stored instructions which, when executed, cause a computer device to perform the process according to any one of claims 1 to 6.

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