Applicability of interactive evolutionary computation to mental health measurement

Hideyuki Takagi; Tomohiro Takahashi; Ken Aoki

doi:10.1109/ICSMC.2004.1401105

Applicability of interactive evolutionary computation to mental health measurement

Hideyuki Takagi
, Tomohiro Takahashi
, Ken Aoki

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

10 被引用数 (Scopus)

抄録

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.

本文言語	英語
ホスト出版物のタイトル	2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
ページ	5714-5718
ページ数	5
DOI	https://doi.org/10.1109/ICSMC.2004.1401105
出版ステータス	出版済み - 2004
イベント	2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, オランダ継続期間: 10月 10 2004 → 10月 13 2004

出版物シリーズ

名前	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
巻	6
ISSN（印刷版）	1062-922X

その他

その他	2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
国/地域	オランダ
City	The Hague
Period	10/10/04 → 10/13/04

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!!!All Science Journal Classification (ASJC) codes

工学一般

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10.1109/ICSMC.2004.1401105

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引用スタイル

Applicability of interactive evolutionary computation to mental health measurement. / Takagi, Hideyuki; Takahashi, Tomohiro; Aoki, Ken.
2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004. 2004. p. 5714-5718 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 6).

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

Takagi, H, Takahashi, T & Aoki, K 2004, Applicability of interactive evolutionary computation to mental health measurement. in 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 6, pp. 5714-5718, 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004, The Hague, オランダ, 10/10/04. https://doi.org/10.1109/ICSMC.2004.1401105

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title = "Applicability of interactive evolutionary computation to mental health measurement",

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 Scheff{\'e}'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.",

keywords = "CG lighting, Interactive evolutionary computation, Mental health measurement, Schizophrenia",

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AU - Takahashi, Tomohiro

AU - Aoki, Ken

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N2 - 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.

AB - 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.

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Applicability of interactive evolutionary computation to mental health measurement

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出版物シリーズ

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!!!All Science Journal Classification (ASJC) codes

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