Tournament-style Evaluation using Kansei Evaluation

• TAKENOUCHI Hiroshi

  Graduate School of Kansai University

• TOKUMARU Masataka

  Kansai University

• MURANAKA Noriaki

  Kansai University

抄録

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.

収録刊行物

• International Journal of Affective Engineering

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

  日本感性工学会

キーワード

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

詳細情報

• CRID: 1390282680459027328
• NII論文ID: 130004597644
• DOI: 10.5057/ijae.12.395
• ISSN: 21875413
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可