Abstract

In order to design a cultural and creative product that matched the target image, this paper proposed to use EEG, interactive genetic algorithm (IGA), and back propagation neural network (BPNN) to analyze the users' image preferences. Firstly, the pictures of cultural elements were grouped according to the pleasantness value and emotional state by PAD emotion scale, and the brain waves induced by the pictures of cultural elements with different pleasure degree were recorded by electroencephalograph. Then, the preference of cultural elements was obtained according to the theory of frontal alpha asymmetry. Secondly, the semantic difference method was used to carry out questionnaire survey to users, and the factor analysis method was used to statistically analyze the survey results to extract the perceptual image semantics of users for cultural and creative products. Thirdly, an interactive evolutionary design system based on IGA and BPNN was constructed. According to the cultural elements preferred by users, the designer designed the initial set of morphological characteristics, and the fitness value was determined according to the degree of user preference for the image semantics. Meanwhile, in order to reduce the fatigue caused by users' interaction evaluation, BPNN was introduced to simulate artificial evaluation. Finally, the proposed method was verified by the practice of flavoring bottle design. User preference requirement could be used as feedback information to help designers understand users' design emotional need and generate design schemes that satisfied the users' perceptual image.

Highlights

  • With the advent of experience economy, it is a key link of innovative product design to obtain user preferences quickly and accurately [1]. erefore, this paper attempted to use EEG technology and interactive evolutionary design method to analyze users’ emotional experience

  • Luo and Dong [7] introduced the concept of “ontology” in knowledge engineering and developed a management system of cultural artifacts knowledge for cultural creative design. e cultural and creative products designed by the above methods could reflect the traditional cultural elements, but whether the products met the emotional need of users required further research

  • Studies have shown that the different product designs can be compared using the frontal alpha asymmetry (FAA), and the activity of left frontal lobe is often used as an indicator of pleasure or liking [29]. e “cerebral hemispheric potency hypothesis” suggests that the left frontal region mainly deals with positive emotions, while the right frontal region mainly deals with negative emotions [30, 31]

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Summary

Introduction

With the advent of experience economy, it is a key link of innovative product design to obtain user preferences quickly and accurately [1]. erefore, this paper attempted to use EEG technology and interactive evolutionary design method to analyze users’ emotional experience. Erefore, this paper attempted to use EEG technology and interactive evolutionary design method to analyze users’ emotional experience. E cultural and creative products designed by the above methods could reflect the traditional cultural elements, but whether the products met the emotional need of users required further research. Erefore, this paper could use the above research for reference in cultural and creative product design, and use EEG technology for quantitative research to help designers to develop products that meet users’ emotional need. In the traditional cultural and creative product shape design, designers use personal experience and subjective speculation to obtain users’ emotional need. Based on the cognition of users and designers, the product scheme was optimized by combining IGA and BPNN, to reflect the users’ emotional need in product design accurately

Outline of the Proposed Method
Extract the Cultural Elements of User Preferences by EEG
Section 5: interactive evolutionary design
Obtain Visual Stimulation Materials by PAD Emotion Measurement
The Investigation and Extraction of Users’ Perceptual Image
Conclusion of the experiment
Evolutionary Design Based on IGA and BPNN
Evaluation valve of perceptual image vocabulary
Example of Cultural and Creative Product Design
Analysis of Evolutionary Results
Conclusion
Full Text
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