A Bio-inspired Evolutionary Approach to Identifying Minimal Length Decision Rules in Emotional Usability Engineering

Authors:
Ikno Kim;Junzo Watada
Affiliations:
Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan 808-0135;Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan 808-0135
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Year:
2009

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Abstract

Many of the applied methods and measurement tools of emotional usability engineering have been recommended for use designing products. A rough set method can also be a useful tool to be integrated with the basic concepts of emotional usability engineering. If such a method is applied, the groups of sensory words have to be investigated and their values reduced and classified to provide comprehensive information to product designers. However, a computational problem exists regarding the number of samples, groups of sensory words, and values required when resolving sense-based minimal decision rules. Considering this problem, we discuss the use of DNA computing, and propose a bio-inspired evolutionary method based on the rough set method, which should provide a new tool for emotional usability engineering.