Applicability of interactive evolutionary computation to mental health measurement

Hideyuki Takagi, Tomohiro Takahashi, Ken Aoki

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)

    Abstract

    We show experimentally the applicability of interactive evolutionary computation (IEC) to a new application field, mental health measurement. We had 3 schizophrenics and 5 mentally healthy students design happy and sad impression computer graphics (CG) lighting images using IEC and asked other 33 students to evaluate the CG images using Scheffé's method of paired comparison. Statistical tests of the evaluations showed that the range of emotional impressions perceived by the three schizophrenics between happy-sad was significantly narrower than that which was perceived by the mentally healthy students (p < 0.01). This experimental result implies that IEC has potential to contribute to psychiatry, and it also showed the possibility to expand IEC applicability beyond conventional system optimization and to a new area, mental health measurement.

    Original languageEnglish
    Title of host publication2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
    Pages5714-5718
    Number of pages5
    DOIs
    Publication statusPublished - 2004
    Event2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Netherlands
    Duration: Oct 10 2004Oct 13 2004

    Publication series

    NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
    Volume6
    ISSN (Print)1062-922X

    Other

    Other2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
    Country/TerritoryNetherlands
    CityThe Hague
    Period10/10/0410/13/04

    All Science Journal Classification (ASJC) codes

    • Engineering(all)

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