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  • 标题:ユーザの信頼を誘発する商品推薦エージェントデザイン 感情と知識量の遷移による信頼向上
  • 本地全文:下载
  • 作者:松井 哲也 ; 山田 誠二
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2017
  • 卷号:32
  • 期号:2
  • 页码:C-G92_1-10
  • DOI:10.1527/tjsai.C-G92
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:

    The PRVAs, product recommendation virtual agent, are the agents that take part in the clerks on the onlineshopping. For their aims, it is very important for the PRVAs to be trusted by users. However, trustworthy the PRVA design was not be studied yet. In this paper, we suggest the user’s trust transition model that is consisted by two parameters. One parameter is user’s emotion, and the other is agent’s knowledge. We suggested the transition operators that transited these two parameters by executing when the PRVAs recommend. Emotion transition operators are agent’s smile and gestures. Knowledge transition operators is long product recommendation text. We carried on three experiments to estimate these model and transition operators. In experiment 1, we executed no transition operators. In experiment 2, we executed emotion transition operators and added knowledge transition operators in the latter half. In experiment 3, we executed knowledge transition operators in the first half and added emotion transition operators in the latter half. As a results, it is discovered that transition operators and a transition model are effective. In experiment 1, there are no transition in the participants’ trust state. In experiment 2, the participants’knowledge perceived and trust for agent transited after executing knowledge transition operators. In experiment 3, the participants’ emotion transited after executing positive emotion operators, however, trust didn’t transited. From these result, we concluded that trust is based on each of the user’s emotion and the agent’s knowledge.

  • 关键词:product recommendation virtual agent;anthropomorphic;interaction design;inner state transition
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