Hyperinteractive evolutionary computation

Benjamin James Bush, Hiroki Sayama

Research output: Contribution to journalArticle

26 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 languageEnglish
Article number5703124
Pages (from-to)424-433
Number of pages10
JournalIEEE Transactions on Evolutionary Computation
Volume15
Issue number3
DOIs
Publication statusPublished - 2011 Jun
Externally publishedYes

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Keywords

  • Collaborative work
  • computer interface
  • human factors
  • interactive computing
  • interactive evolutionary computation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Computational Theory and Mathematics

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