Abstract
Conventional coordination suggestion systems do not consider the combined effect of the images of the individual items. In this research, we clarify the relationship between the image of tops and bottoms and their combinations. Using the semantic differential method, a questionnaire survey was conducted for images of tops, bottoms, and coordinates, and principal component analysis was performed. Multiple regression analysis for each of the principle components showed that all the correlation coefficients are low, and no linear relationship could be represented. On comparing the principal component scores, the influence of the bottoms image was observed to be significant in the first main component. The arrangement and combination method affected the image of coordinates in the case of conspicuous components, while the focus of the image changed depending on the object to be evaluated in the final component.
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Acknowledgments
I am deeply grateful to the members of Human Media Engineering Laboratory of the Faculty of Science and Technology, Chuo University, and the Kansei Robotics Research Center, who are enthusiastic about research discussions and cooperation for experiments. This work was partially supported by JSPS KAKENHI grants, “Research on Sensitivity Symbiosis Mechanism within Groups in Real Space/Information Space” (No. 25240043) and TISE Research Grant of Chuo University, “KANSEI Robotics Environment.”
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Sato, M., Kato, T. (2018). Influence of Individual Fashion Item Images on the Image of Coordinates. In: Chung, W., Shin, C. (eds) Advances in Affective and Pleasurable Design. AHFE 2017. Advances in Intelligent Systems and Computing, vol 585. Springer, Cham. https://doi.org/10.1007/978-3-319-60495-4_21
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DOI: https://doi.org/10.1007/978-3-319-60495-4_21
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