Evaluation of user fatigue reduction through IEC rating-scale mapping

Shangfei Wang, Hideyuki Takagi

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

4 Citations (Scopus)

Abstract

We evaluate the convergence speed of an Interactive Evolutionary Computation (IEC) using a rating-scale mapping for user fatigue reduction. First, we introduce the concept of mapping users' relative ratings to an "absolute scale "; this allows us to improve the performance of the IEC subjective evaluation characteristic predictor, which can in turn accelerate EC convergence and reduce user fatigue. Second, we experimentally evaluate the effectiveness of the proposed method using seven benchmark functions instead of a hunman user. The experimental results show that the convergence speed of an IEC using the proposed absolute rating data-trained predictor is much faster than an IEC using a conventional predictor trained using relative rating data.

Original languageEnglish
Title of host publicationSoft Computing as Transdisciplinary Science and Technology - Proceedings of the 4th IEEE International Workshop, WSTST 2005
Pages672-681
Number of pages10
EditionAISC
Publication statusPublished - Dec 1 2005
Event4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology, WSTST 2005 - Muroran, Japan
Duration: May 25 2005May 27 2005

Publication series

NameAdvances in Soft Computing
NumberAISC
ISSN (Print)1615-3871
ISSN (Electronic)1860-0794

Other

Other4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology, WSTST 2005
CountryJapan
CityMuroran
Period5/25/055/27/05

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All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Computational Mechanics
  • Computer Science Applications

Cite this

Wang, S., & Takagi, H. (2005). Evaluation of user fatigue reduction through IEC rating-scale mapping. In Soft Computing as Transdisciplinary Science and Technology - Proceedings of the 4th IEEE International Workshop, WSTST 2005 (AISC ed., pp. 672-681). (Advances in Soft Computing; No. AISC).