Applicability of interactive evolutionary computation to mental health measurement

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Hideyuki Takagi, Tomohiro Takahashi, and Ken Aoki: Applicability of interactive evolutionary computation to mental health measurement. IEEE International Conference on Systems, Man, and Cybernetics (SMC2004), the Hague, the Netherlands, pp.5714-5718 (October 10-13 2004).



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) fighting images using IEC and asked other 33 students to evaluate the CG images using Scheffe'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.

Extended Abstract


Used References

Aoki, K. and Takagi, H.: "3-D CG Lighting with an Interactive GA," 1st Int. Conf. on Conventional and Knowledge-based Intelligent Electronic Systems (KES'97), pp. 296-301, Adelaide, Australia (May 21-23, 1997).

Aoki, K. and Takagi, H.: "Interactive GA-based Design Support System for Lighting Design in 3-D Computer Graphics," Trans. of IEICE, vol.J81-DII, no.7, pp. 1601-1608 (1998) (in Japanese).

Kay, S. R., Fiszbein, A, and Opler, L. A.: "The Positive and Negative Syndrome Scale for schizophrenia," Schizophr Bull, vol.13, no.2, pp. 261-276 (1987).

Takagi, H.: "Interactive Evolutionary Computation: Fusion of the Capacities of EC Optimization and Human Evaluation," Proceedings of the IEEE, vol.89, no.9, pp. 1275-1296 (2001).


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