Creativity awakening device based on emotional activeness and pressure detection in AIGC design process

Abstract

The invention belongs to the technical field of electrophysiology evaluation, and particularly relates to a creativity awakening device based on emotional activeness and pressure detection in the AI GC design process. The device comprises a skin electric signal acquisition module, a heart rate variability signal acquisition module and a creativity awakening module, the skin electric signal acquisition module is used for acquiring a skin electric signal for the testee executing the AI GC design process; the heart rate variability acquisition module is used for acquiring heart rate variability signals of the testee executing the AI GC design process; the creativity awakening module stores emotion calibration data of the testee in advance and is used for judging whether creativity awakening or pressure relieving needs to be carried out or not based on the emotion calibration data according to the skin electric signals and the heart rate variability signals.

Description

Technical Field

[0001] The present invention belongs to the technical field of electrophysiological evaluation, and in particular relates to a creativity awakening device based on emotional activity and stress detection in an AIGC design process. Background Art

[0002] The integration of generative AI (Artificial Intelligence Generated Content, AIGC) into various fields has attracted widespread attention, especially in enhancing creativity in the design process. Generative AI is well known for its ability to generate novel and diverse outputs, thereby promoting creative emotions.

[0003] Generative AI has had a significant impact on the creativity process, leading to a theoretical paradox. On the one hand, the advanced capabilities of generative AI offer great potential for enhancing the creative process. Generative AI encourages users to think outside the box, try new ideas, and explore a wider range of creative possibilities. Creativity can be enhanced by placing users in situations that foster creative thinking. However, the integration of such complex technologies also introduces new forms of stress and cognitive load. Generative AI systems generate more complexity and unpredictability. Although their content output is rich, it may overwhelm and stress users. This additional cognitive load can hinder the creative divergent process, as creativity often requires an unconstrained state to incubate ideas. Users' continuous interaction with AI-driven content can receive too much stimulation, leading to decision fatigue. In addition, this tension between creativity and stress reflects the deeper psychological stress issues that people have about generative AI in creative design tasks. According to flow theory, creativity involves not only generating new ideas, but also influencing the emotional experience process that supports these ideas. If users feel overloaded or anxious due to the involvement of generative AI, the expected output of creative design activities may be reduced. This paradox reminds us that we need to be cautious between using generative AI to foster creativity and ensuring that the technology intervention poses no risk of psychological stress to users. Therefore, we must consider how to optimize the balance between generative AI promoting the creativity stimulation process and bringing too much psychological stress, ensuring that the use of generative AI helps stimulate rather than restrict creative exploration.

[0004] In the existing research on creative emotion measurement and stress measurement in AI GC design, creative emotion and stress are not fully correlated: Most studies focus on the quality and innovative results of user-generated AI content, but the research and application of the complex relationship between creative emotion and stress in the design process is still immature. In many application scenarios of AI GC technology, the psychological risks brought by technology are ignored. There is a lack of systematic testing methods for the correlation between stress and creative emotion.

[0005] Chinese patent CN202310898204.0 discloses a method and system for evaluating emotional states based on skin electrical signals. By collecting the subject's skin electrical signals during the narration process, the subject's emotions and emotional changes during the evaluation phase are analyzed to obtain a more valuable emotional evaluation report. This method only analyzes emotional changes through skin electrical signals and does not explore specific application scenarios.

[0006] Chinese patent CN202410241324.8 discloses a human heart rate variability measurement device, which obtains the real-time ECG signal of the subject through the ECG monitoring lead mechanism; and the data processor calculates the LF, HF and LF / HF parameters of HRV according to the established formula, and the information display is used to display the ECG RR interval spectrum and LF, HF and LF / HF parameters, so that the human heart rate variability can be measured without invasive intervention. This method only performs frequency domain analysis of heart rate variability, and does not perform time domain analysis. Therefore, the subsequent measurement of the correlation between creativity, emotional arousal and stress cannot be statistically analyzed through time series data.

[0007] Existing research tends to focus on one dimension: how generative AI can positively promote creativity in the design process. For example, how it can improve the efficiency of creativity stimulation or optimize user experience. However, it often ignores challenges such as psychological pressure and cognitive load that AI may introduce when intervening in human-computer interaction. Existing research gaps hinder a comprehensive understanding of the overall impact of generative AI on the creativity stimulation process, especially in the following aspects:

[0008] (1) Physiological responses to the use of generative AI in the design process to stimulate creativity: Users’ physiological responses to AI-generated content may be different from those in the traditional design process, and further interpretation of the physiological and psychological responses in this process requires objective data indicators.

[0009] (2) The relationship between the creative emotion-stimulating process and stress levels in generative AI design: Currently, no research has explicitly examined the relationship between stress induced by generative AI and users’ creative emotions. Summary of the invention

[0010] In view of this, the present invention provides a creativity awakening device based on emotional activity and stress detection in the AI ​​GC design process. The device judges the stress state of the subject based on skin electrical signals and heart rate variability signals, so as to awaken the subject when his creativity decreases.

[0011] The technical solution for implementing the present invention is as follows:

[0012] An AI GC design process is based on emotional activity and stress detection to awaken creativity, comprising: a skin electrical signal acquisition module, a heart rate variability signal acquisition module and a creativity awakening module;

[0013] The skin electrical signal acquisition module is used to collect skin electrical signals from the test subjects who are performing the AI ​​GC design process;

[0014] A heart rate variability acquisition module is used to collect heart rate variability signals from the test subjects who are performing the AI ​​GC design process;

[0015] The creativity awakening module pre-stores the emotion calibration data of the test subject, and is used to determine whether creativity awakening or stress relief is needed based on the emotion calibration data according to the skin electrical signal and the heart rate variability signal.

[0016] Optionally, the process of acquiring emotion calibration data of the present invention is: selecting multiple neutral emotion pictures from the Geneva emotion picture database, performing emotion calibration on the test subject for a set time, and after the set time is completed, collecting the test subject's skin electrical signals and heart rate variability signals as emotion calibration data.

[0017] Optionally, the characterization indexes of the skin conductance signal of the present invention include three indexes: the number of skin conductance reactions, the sum of the amplitudes, and the average amplitude.

[0018] Optionally, the characterization index of the skin electrical signal of the present invention includes the calculation process of the number of skin conductance reactions as follows:

[0019] The dynamic component of the skin conductance signal is calculated as follows:

[0020] S(t scr )=S(t)-S(t scl )

[0021] Among them, S(t) is the original skin conductance signal, S(t scl ) is the static component of skin conductance extracted using a 0.05 Hz high-pass filter;

[0022] Get the threshold value of skin conductance response:

[0023] θ=μ scr +k·σ scr

[0024] Among them, μ scr is the average value of the dynamic component of the skin conductance signal, σ scr is the standard deviation, and k is a constant dynamically adjusted by individual differences;

[0025] Determine the skin conductance response in the skin electrical signal: when S(t scr)>θ, and When it changes from positive to negative, it is judged as a skin conductance response in this skin conductance signal.

[0026] Optionally, the characterization indicators of heart rate variability of the present invention include SDNN, RMSSD and PNN50.

[0027] Optionally, the present invention collects skin electrical signals and heart rate variability signals through the Empatica E4 bracelet.

[0028] Optionally, the present invention determines whether creativity awakening or stress relief is needed based on emotion calibration data, specifically:

[0029] When it is detected that the number of skin conductance responses per unit time exceeds a set number threshold n, and at least one of the sum of the amplitudes and the average amplitude meets the corresponding set amplitude threshold, a heart rate variability signal is judged;

[0030] If the heart rate variability signals SDNN, RMSSD and PNN50 show a significant decrease compared to the emotion calibration data of the test subject and remain at a stable low level, it is determined that the test subject is under great pressure at this time and the execution stress is relieved; otherwise, it is determined that the test subject is under little pressure at this time and the execution creativity is awakened.

[0031] Optionally, the sustained stable low level of the present invention is: SDNN value is less than 50ms, RMSSD value is less than 15ms, and PNN50 value is less than 0.75%.

[0032] Optionally, the psychological stress relief therapy for the test subject described in the present invention includes at least one of cognitive behavioral therapy CBT, solution-focused short-term therapy SFBT and mindfulness-based stress reduction MBSR; the creativity awakening method includes at least one of brainstorming, fish tank meeting, six thinking hats and nominal group method.

[0033] Beneficial effects:

[0034] The AI ​​GC design process of the present invention is a creativity awakening device based on emotional activity and stress detection. Based on the positive correlation between creativity awakening data (skin electrical signals) and stress (heart rate variability signals), creativity awakening or stress relief is performed by collecting and judging skin electrical signals and heart rate variability signals, thereby more comprehensively understanding the effectiveness of generative artificial intelligence in stimulating the creativity process. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 Design a process for testing the association between emotional arousal and stress in AIGC process creativity.

[0037] Figure 2 A schematic diagram of the device. DETAILED DESCRIPTION

[0038] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0039] It should be noted that the following embodiments and features in the embodiments may be combined with each other in the absence of conflict; and, based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without making any creative work are within the scope of protection of the present disclosure.

[0040] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein may be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present disclosure, it should be understood by those skilled in the art that an aspect described herein may be implemented independently of any other aspect, and two or more of these aspects may be combined in various ways. For example, any number of aspects described herein may be used to implement the device and / or practice the method. In addition, other structures and / or functionalities other than one or more of the aspects described herein may be used to implement this device and / or practice this method.

[0041] like Figure 1 As shown, the applicant collected skin electrical signals and heart rate variability signals from the persons being tested during the AI ​​GC design process to determine the possible correlation between the two. During signal collection, the basic emotional calibration of the persons being tested was performed to ensure that the emotions of the persons being measured were at the same baseline. By analyzing the relationship between skin electrical signals and heart rate variability signals, it was found that a Pearson correlation analysis was performed on the above two types of data, and a scatter plot was drawn to find that there was a linear trend between the two. Therefore, the linear correlation between the two types of variables can be described by calculating the Pearson correlation coefficient. After experimental verification, in the AIGC design process, creativity arousal data (skin electrical signals) and stress (heart rate variability signals) are positively correlated, that is, the higher the degree of creativity arousal (active skin electrical signals), the greater the stress (reduced heart rate variability).

[0042] Based on the above research, Figure 1-2 As shown, an embodiment of the present application is a creativity awakening device based on emotional activity and stress detection in the AI ​​GC design process, including: a skin electrical signal acquisition module, a heart rate variability signal acquisition module and a creativity awakening module;

[0043] The skin electrical signal acquisition module is used to collect skin electrical signals from the test subjects who are performing the AI ​​GC design process;

[0044] A heart rate variability acquisition module is used to collect heart rate variability signals from the test subjects who are performing the AI ​​GC design process;

[0045] The creativity awakening module pre-stores the emotion calibration data of the test subject, and is used to determine whether creativity awakening or stress relief is needed based on the emotion calibration data according to the skin electrical signal and the heart rate variability signal.

[0046] This embodiment is based on the discovery of a linear relationship between skin electrical signals and heart rate variability signals through research and analysis. By measuring the two, it can be determined whether the test subject has a decrease in creativity, thereby awakening creativity. The device can prevent the test subject from working continuously under high pressure. The creativity awakening module can give corresponding prompts when creativity awakening is needed, and can also give corresponding prompts when stress relief is needed, based on the judgment results.

[0047] In another embodiment of the present application, the process of acquiring emotion calibration data is as follows: multiple neutral emotion pictures are selected from the Geneva emotion picture database, and emotion calibration is performed on the test subject for a set time. After the set time is completed, the skin electrical signal and heart rate variability signal of the test subject are collected as emotion calibration data.

[0048] In the specific implementation of this embodiment, 20 neutral emotion pictures (including four types of pictures, each played for 3 seconds: 7 indoor scenes, 6 outdoor scenes, and 7 scenery pictures) were selected from the Geneva Affective Picture Database (GAPED). The subjects were subjected to a 60-second basic emotion calibration. This library has been identified as a basic calibration for experiments related to emotion fluctuations.

[0049] In another embodiment of the present application, the characterization indicators of the skin conductance signal include three indicators: the number of skin conductance reactions, the sum of the amplitudes, and the average amplitude.

[0050] In the specific implementation of this step, the skin electrical signals can be collected through the Empatica E4 bracelet, and the relevant index data can be calculated as an indicator of the degree of emotional arousal of creativity in the AIGC design process.

[0051] When individuals engage in creativity-related activities, emotional changes lead to increased sweat gland activity, which can be measured by galvanic skin signals. Therefore, galvanic skin signals are often used as an indicator of emotional arousal. Galvanic skin signals consist of two parts: Skin Conductance Level (SCL) and Skin Conductance Response (SCR), where the skin conductance response reflects the rapid fluctuations in skin conductance. Skin conductance response can be used to reflect the activity of the sympathetic nervous system. When individuals are in a state of creative stimulation, significant skin conductance responses will occur. These responses are important indicators of the state of creative stimulation.

[0052] The number of skin conductance responses, the sum of amplitudes, and the average amplitude are used as indicators of the degree of emotional arousal of creativity in the AI ​​GC design process. The specific algorithm is as follows:

[0053] 1. The dynamic components of the skin conductance signal are as follows:

[0054] S(t scr )=S(t)-S(t scl ) (1)

[0055] Among them, S(t) is the original skin conductance signal, S(t scl ) is the static component of skin conductance extracted using a 0.05 Hz high-pass filter.

[0056] 2. Obtain the threshold value of skin conductance response (SCR):

[0057] θ=μ scr +k·σ scr (2)

[0058] Among them, μ scr is the average value of the dynamic component of the skin conductance signal, σ scr is the standard deviation, and k is a constant that is dynamically adjusted by individual differences.

[0059] 3. Determine the skin conductance response (SCR) in the skin electrical signal:

[0060] When S(t scr )>θ, and When it changes from positive to negative, it is judged as a skin conductance response in this skin conductance signal.

[0061] 4. The amplitude P(t) of the skin conductance response (SCR) in time t is:

[0062] P(t)=P(t p )-P(t o) (3)

[0063] Among them, t p is the time it takes for a single skin conductance response to reach its peak, t o is the time when a single skin conductance response starts.

[0064] 5. Assuming that there are n skin conductance responses in a task time series, the number of skin conductance responses in this task is n. The sum of the amplitudes in this task is P sum for:

[0065]

[0066] 6. The average amplitude during the task is:

[0067]

[0068] In another embodiment of the present application, the characterization indicators of heart rate variability include SDNN, RMSSD and PNN50.

[0069] In the specific implementation of this step, the heart rate variability signal can be collected through the Empatica E4 bracelet, and the relevant index data can be calculated as an indicator of the stress level of the AIGC design process.

[0070] Heart rate variability (HRV) refers to the variation in the difference between heartbeats and is considered one of the most accurate indicators of stress. When mental stress increases, changes in the sympathetic nervous system can lead to a decrease in HRV.

[0071] The SDNN, RMSSD, and PNN50 of the heart rate variability signal are used as indicators of the degree of emotional arousal in the creative process. The specific algorithm is as follows:

[0072] Assume that each subject has a total of N heartbeat interval data points, where RR si represents the ith heartbeat cycle. The preprocessing of the heart rate variability signal includes bandpass filtering in the range of 0.5-100 Hz and notch filtering at 50 Hz.

[0073] Standard deviation of all NN intervals (SDNN):

[0074]

[0075] Root mean square of the successive difference between adjacent NN intervals (RMSSD):

[0076]

[0077] The number of each pair of adjacent normal heartbeat intervals exceeding 50ms, as a percentage of the total number of normal heartbeat intervals (Percentage of normal adjacent NN interval difference>50ms, PNN50):

[0078]

[0079] In another embodiment of the present application, whether creativity awakening or stress relief is needed is determined based on the emotion calibration data, specifically:

[0080] When it is detected that the number of skin conductance responses per unit time exceeds a set number threshold n, and at least one of the sum of the amplitudes and the average amplitude meets the corresponding set amplitude threshold, a heart rate variability signal is judged;

[0081] If the heart rate variability signals SDNN, RMSSD and PNN50 show a significant decrease compared to the emotional calibration data of the test subject and remain at a stable low level (SDNN value is less than or equal to 50ms, RMSSD value is less than or equal to 15ms, PNN50 value is less than or equal to 0.75%), it is determined that the test subject is under great pressure at this time, and creativity awakening work should not be performed at this time to prevent entering a "high-pressure, high-creativity state". At this time, classic psychological stress relief therapies, such as cognitive behavioral therapy (CBT), solution-focused brief therapy (SFBT), mindfulness-based stress reduction (MBSR), etc., can be used to effectively regulate emotions and relieve stress to regulate the high-stress state caused by the AI ​​GC design process.

[0082] If the HRV signal value is large (SDNN value is greater than 50ms, RMSSD value is greater than 15ms, PNN50 value is greater than 0.75%), then subsequent creativity awakening can be performed. It is determined that the test subject is under low stress at this time, and creativity awakening is performed.

[0083] The methods for awakening creativity in this embodiment include brainstorming, fishbowl discussions, six thinking hats, and nominal group technique.

[0084] This application has the following effects:

[0085] Accurate detection of creativity emotions and stress: The present invention adopts a multi-dimensional creativity emotion and stress detection method based on physiological data, which can monitor and analyze the user's emotional fluctuations in the AIGC design process in real time. Compared with the existing technology that evaluates through a single-dimensional emotional index, the present invention can comprehensively and accurately capture the user's positive and negative emotional states. The quantitative analysis method based on physiological data is more scientific and objective than the existing subjective mode of qualitative analysis such as oral reports.

[0086] Stress changes accompanying creative emotions during AIGC design process: By measuring multiple physiological index data and analyzing the correlation between stress and creative emotions, the present invention can quantitatively analyze stress changes accompanying creative emotions during AIGC design process, and help designers or systems regulate stress factors in the AIGC design process environment, thereby avoiding the risk of psychological stress during creative output. This provides a more scientific means of emotion regulation for the AIGC design process.

[0087] In summary, the above are only preferred embodiments of the present invention and are not intended to limit the protection scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A creativity awakening device based on emotional activity and stress detection in the AIGC design process, characterized in that: include: Skin electrical signal acquisition module, heart rate variability signal acquisition module and creativity awakening module; The skin electrical signal acquisition module is used to collect skin electrical signals from the test subjects who are performing the AIGC design process; A heart rate variability acquisition module is used to collect heart rate variability signals from the test subjects who are performing the AIGC design process; The creativity awakening module pre-stores the emotion calibration data of the test subject, and is used to determine whether creativity awakening or stress relief is needed based on the emotion calibration data according to the skin electrical signal and the heart rate variability signal.

2. According to claim 1, the AIGC design process is based on emotional activity and stress detection to awaken creativity, characterized in that: The process of acquiring emotion calibration data is as follows: multiple neutral emotion pictures are selected from the Geneva emotion picture database, and emotion calibration is performed on the subjects for a set period of time. After the set time is completed, the skin electrical signals and heart rate variability signals of the subjects are collected as emotion calibration data.

3. The creativity awakening device based on emotional activity and stress detection in the AIGC design process according to claim 2 is characterized in that: Twenty neutral emotion pictures were selected from the Geneva Emotional Picture Database, including four types of pictures, each played for 3 seconds: 7 indoor scenes, 6 outdoor scenes, and 7 landscape pictures, and the subjects were subjected to a 60-second basic emotion calibration.

4. According to claim 1, the AIGC design process is based on emotional activity and stress detection to awaken creativity, characterized in that: The characterization indicators of skin conductance signals include the number of skin conductance responses, the sum of amplitudes, and the average amplitude.

5. According to claim 4, the AIGC design process is based on the creativity awakening device of emotional activity and stress detection, characterized in that: The calculation process of the skin electrical signal characterization index including the number of skin conductance responses is: The dynamic component of the skin conductance signal is calculated as follows: S(t scr )=S(t)-S(t scl ) Among them, S(t) is the original skin conductance signal, S(t scl ) is the static component of skin conductance extracted using a 0.05 Hz high-pass filter; Get the threshold value for skin conductance response: θ=μ scr +k·s scr Among them, μ scr is the average value of the dynamic component of the skin conductance signal, σ scr is the standard deviation, and k is a constant dynamically adjusted by individual differences; Determine the skin conductance response in the skin electrical signal: when S(t scr )>θ, and When it changes from positive to negative, it is judged as a skin conductance response in this skin conductance signal.

6. The creativity awakening device based on emotional activity and stress detection in the AIGC design process according to claim 1 or 4, characterized in that: The characterization indicators of heart rate variability include SDNN, RMSSD and PNN50.

7. The creativity awakening device based on emotional activity and stress detection in the AIGC design process according to claim 1 is characterized in that: The skin electrical signals and heart rate variability signals were collected through the Empatica E4 bracelet.

8. According to claim 1, the AIGC design process is based on emotional activity and stress detection to awaken creativity, characterized in that: The determination of whether creativity awakening or stress relief is needed based on the emotion calibration data is specifically as follows: When it is detected that the number of skin conductance responses per unit time exceeds a set number threshold n, and at least one of the sum of the amplitudes and the average amplitude meets the corresponding set amplitude threshold, a heart rate variability signal is judged; If the heart rate variability signals SDNN, RMSSD and PNN50 show a significant decrease compared to the emotion calibration data of the test subject and remain at a stable low level, it is determined that the test subject is under great pressure at this time and the execution stress is relieved; otherwise, it is determined that the test subject is under little pressure at this time and the execution creativity is awakened.

9. The creativity awakening device based on emotional activity and stress detection in the AIGC design process according to claim 8 is characterized in that: The sustained stable low level means that the SDNN value is less than 50 ms, the RMSSD value is less than 15 ms, and the PNN50 value is less than 0.75%.

10. The creativity awakening device based on emotional activity and stress detection in the AIGC design process according to claim 8 is characterized in that: The psychological stress relief therapy for the test subject includes at least one of cognitive behavioral therapy CBT, solution-focused short-term therapy SFBT, and mindfulness-based stress relief MBSR; the creativity awakening method includes at least one of brainstorming, fish tank meeting, six thinking hats and nominal group method.

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