Tournament-style Evaluation using Kansei Evaluation

• TAKENOUCHI Hiroshi

  Graduate School of Kansai University

• TOKUMARU Masataka

  Kansai University

• MURANAKA Noriaki

  Kansai University

Abstract

We describe the effectiveness of interactive evolutionary computation (IEC) with tournament-style evaluation, aiming to reduce the evaluation load of IEC users. In tournament-style evaluation, users evaluate candidate solutions using a paired comparison. We use three evaluation objects (music, animation, and images) and evaluate the performance of three methods. The first is a normal interactive genetic algorithm (NIGA), which is a conventional 10-stage evaluation. The second is a tournament-style evaluation with two levels (T2), which evaluates only the superiority or inferiority of two candidates. The third is a tournament-style evaluation with four levels (T4), which progressively evaluates the superiority or inferiority of two candidates. We inspect the effectiveness of tournament-style evaluation by numerical simulations using an evaluation agent that imitates human's Kansei and an evaluation experiment with real users. The simulation results and experimental results show that T2 and T4 more effective for reducing evaluation load of IEC users than NIGA.

Journal

• International Journal of Affective Engineering

  International Journal of Affective Engineering 12 (3), 395-407, 2013

  Japan Society of Kansei Engineering

Keywords

• Interactive evolutionary computation
• Tournament-style evaluation
• User interface

Details

• CRID: 1390282680459027328
• NII Article ID: 130004597644
• DOI: 10.5057/ijae.12.395
• ISSN: 21875413
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed