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An exploratory study on computer-aided affective product design based on crowdsourcing

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Abstract

This research investigates the possibility of incorporating affective factors in 3D model creation using handbags as an exemplary product. We demonstrate a crowd-based experimental approach that establishes the correlations between human emotional responses described by bi-polar adjectives and design factors of a bag. A factorial experiment is conducted to understand which design factors independently and/or interactively influence the responses by systematically varying 3D bag models. In-depth statistical analysis of the experimental results indicates that increasing the bag height makes it look more casual; a black bag tends to look luxurious and formal; a bag made of linen feels more classic and sophisticated. Those insights provide a basis for implementing a prototyping design tool that enables users to create 3D bag models with certain affective features using free-form deformation. The proposed approach demonstrates the preliminary feasibility of improving Kansei Engineering applications with big data obtained from crowdsourcing.

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Acknowledgements

This work was supported by Ministry of Science and Technology in Taiwan under the Grant no. MOST 104-2221-E-007-060-MY3.

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Authors and Affiliations

  1. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsin-chu, Taiwan

    Chih-Hsing Chu

  2. Department of Industrial Design, Chang Gung University, Taoyüan, Taiwan

    Wei-Chen Chang

  3. Chung-Shan Institute of Science and Technology, Taichung, Taiwan

    Yung-I. Lin

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  1. Chih-Hsing Chu
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  2. Wei-Chen Chang
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  3. Yung-I. Lin
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Correspondence to Chih-Hsing Chu.

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Appendix

Appendix

Bag models with all possible styles.

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Chu, CH., Chang, WC. & Lin, YI. An exploratory study on computer-aided affective product design based on crowdsourcing. J Ambient Intell Human Comput 11, 5115–5127 (2020). https://doi.org/10.1007/s12652-020-01821-6

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  • DOI: https://doi.org/10.1007/s12652-020-01821-6

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