TY - GEN
T1 - A bio-inspired evolutionary approach to identifying minimal length decision rules in emotional usability engineering
AU - Kim, Ikno
AU - Watada, Junzo
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70849119733&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-04592-9_23
DO - 10.1007/978-3-642-04592-9_23
M3 - Conference contribution
AN - SCOPUS:70849119733
SN - 364204591X
SN - 9783642045912
VL - 5712 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 181
EP - 187
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009
Y2 - 28 September 2009 through 30 September 2009
ER -