A data mining based approach to research the relationship between kansei and usability: a case study of mobile phones

Authors:
Yongfeng Li;Liping Zhu
Affiliations:
College of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou, China;College of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

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Abstract

Kansei and usability are two important aspects that should be considered in product development. In order to design the product that not only meets consumer's affective needs but also is easy to use, this paper presents a novel approach based on data mining to reveal the relationship between kansei and usability. Firstly, kansei image and usability evaluation indexes were determined. Secondly, within-subjects experimental design was applied to test kansei image, usability, and user's satisfaction. Finally, association rule and decision tree were utilized to mine the experimental data so as to discover the rules hidden in the data. A case study of mobile phones was conducted based on the proposed method. The results suggest that there is a significant relationship between kansei and usability which together influence user's satisfaction with product. This approach can provide designers with useful suggestions and solutions for product design.