A bio-inspired evolutionary approach to identifying minimal length decision rules in emotional usability engineering

Ikno Kim; Junzo Watada

doi:10.1007/978-3-642-04592-9_23

A bio-inspired evolutionary approach to identifying minimal length decision rules in emotional usability engineering

Ikno Kim^*, Junzo Watada

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	181-187
Number of pages	7
Volume	5712 LNAI
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-04592-9_23
Publication status	Published - 2009
Event	13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009 - Santiago Duration: 2009 Sept 28 → 2009 Sept 30

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5712 LNAI
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009
City	Santiago
Period	09/9/28 → 09/9/30

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-642-04592-9_23

Cite this

Kim, I., & Watada, J. (2009). A bio-inspired evolutionary approach to identifying minimal length decision rules in emotional usability engineering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 5712 LNAI, pp. 181-187). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5712 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-04592-9_23

A bio-inspired evolutionary approach to identifying minimal length decision rules in emotional usability engineering. / Kim, Ikno; Watada, Junzo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5712 LNAI PART 2. ed. 2009. p. 181-187 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5712 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, I & Watada, J 2009, A bio-inspired evolutionary approach to identifying minimal length decision rules in emotional usability engineering. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 5712 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5712 LNAI, pp. 181-187, 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009, Santiago, 09/9/28. https://doi.org/10.1007/978-3-642-04592-9_23

Kim I, Watada J. A bio-inspired evolutionary approach to identifying minimal length decision rules in emotional usability engineering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 5712 LNAI. 2009. p. 181-187. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-04592-9_23

Kim, Ikno ; Watada, Junzo. / A bio-inspired evolutionary approach to identifying minimal length decision rules in emotional usability engineering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5712 LNAI PART 2. ed. 2009. pp. 181-187 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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A bio-inspired evolutionary approach to identifying minimal length decision rules in emotional usability engineering

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