Hyperinteractive evolutionary computation

Benjamin James Bush; Hiroki Sayama

doi:10.1109/TEVC.2010.2096539

Hyperinteractive evolutionary computation

Benjamin James Bush, Hiroki Sayama

Research output: Contribution to journal › Article › peer-review

28 Citations (Scopus)

Abstract

We propose hyperinteractive evolutionary computation (HIEC), a class of IEC in which the user actively chooses when and how each evolutionary operator is applied. To evaluate the benefits of HIEC, we conducted three human-subject experiments. The first two experiments showed that HIEC is associated with a more positive user experience and produced higher quality designs. The third experiment demonstrates the potential of HIEC as a research tool with which one can record the evolutionary actions taken by human users. Implications, limitations, and future directions of research are discussed.

Original language	English
Article number	5703124
Pages (from-to)	424-433
Number of pages	10
Journal	IEEE Transactions on Evolutionary Computation
Volume	15
Issue number	3
DOIs	https://doi.org/10.1109/TEVC.2010.2096539
Publication status	Published - 2011 Jun 1
Externally published	Yes

Keywords

Collaborative work
computer interface
human factors
interactive computing
interactive evolutionary computation

ASJC Scopus subject areas

Software
Theoretical Computer Science
Computational Theory and Mathematics

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