Assigning a personality to a spoken dialogue agent through self-disclosure of behavior

Yoshito Ogawa*, Kouki Miyazawa, Hideaki Kikuchi

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

In this study, we propose a method to assign a personality to a spoken dialogue agent and evaluate effectiveness of the method. Recently, some research studies on human-agent interaction (HAI) showed that it is possible to assign a per- sonality by controlling non-verbal information of an agent. However, we consider that verbal information sent from an agent would result in the agent developing a personality. In this paper, we focus on self-disclosures about behavior as an important factor of assigning a personality, and analyze the effects of self-disclosures on assigning a personality to the agent by evaluation of impressions. We discovered that self-disclosures performed by the agent are as effective for personality recognition as those performed by humans. Fur- ther, self-disclosures allow a user to recognize an agent's per- sonality, and humanlike self-disclosure does not impede per- sonality recognition even if utterer of these self-disclosures is an agent. Based on these facts, we verified effectiveness of our proposal method to assigning a personality by self-disclosures about behavior.

本文言語English
ホスト出版物のタイトルHAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction
出版社Association for Computing Machinery, Inc
ページ331-337
ページ数7
ISBN(電子版)9781450330350
DOI
出版ステータスPublished - 2014 10月 29
イベント2nd International Conference on Human-Agent Interaction, HAI 2014 - Tsukuba, Japan
継続期間: 2014 10月 292014 10月 31

出版物シリーズ

名前HAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction

Conference

Conference2nd International Conference on Human-Agent Interaction, HAI 2014
国/地域Japan
CityTsukuba
Period14/10/2914/10/31

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • ソフトウェア

引用スタイル