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

Ikno Kim, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages181-187
    Number of pages7
    Volume5712 LNAI
    EditionPART 2
    DOIs
    Publication statusPublished - 2009
    Event13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009 - Santiago
    Duration: 2009 Sep 282009 Sep 30

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 2
    Volume5712 LNAI
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009
    CitySantiago
    Period09/9/2809/9/30

    Fingerprint

    Usability engineering
    Usability Engineering
    Decision Rules
    Rough Set
    DNA
    DNA Computing
    Emotion

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    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 proceedingConference 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). https://doi.org/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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