Research on activity space design based on Kansei Engineering and flow theory

Yingying Shen

doi:10.1117/12.2626536

21 December 2021 Research on activity space design based on Kansei Engineering and flow theory

Yingying Shen

Proceedings Volume 12155, International Conference on Computer Vision, Application, and Design (CVAD 2021); 1215518 (2021) https://doi.org/10.1117/12.2626536
Event: International Conference on Computer Vision, Application, and Design (CVAD 2021), 2021, Sanya, China

Abstract

Based on users’ perceptual demand, this paper uses the method of Kansei Engineering to study the form of indoor activity space in public buildings. It establishes the relationship between the perceptual semantics and the form elements of indoor activity space, then proposes the design strategies for the form of indoor activity space with the flow theory. First, this research collects all kinds of indoor activity space pictures via the Internet and selects the representative samples. Second, the semantic differential scale is designed based on the perceptual words related to the indoor activity space. Third, by processing the data obtained from the experiment, we establish the regression model between the form element of indoor activity space and perceptual factors. Finally, combined with the perspective of flow theory, this paper sought for the law of quantitative results and applied the results to computer design, proposing an effective, accurate and innovative strategy of indoor environment design.

Citation Download Citation

Yingying Shen "Research on activity space design based on Kansei Engineering and flow theory", Proc. SPIE 12155, International Conference on Computer Vision, Application, and Design (CVAD 2021), 1215518 (21 December 2021); https://doi.org/10.1117/12.2626536

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