Effects of Conversational Agents on Activation of Communication in Thought-Evoking Multi-Party Dialogues

被引：4
|
作者：
Dohsaka, Kohji [1 ]
Asai, Ryota [2 ]
Higashinaka, Ryuichiro [3 ]
Minami, Yasuhiro [1 ]
Maeda, Eisaku [1 ]
机构：
[1] NTT Corp, NTT Commun Sci Labs, Kyoto 6190238, Japan
[2] Osaka Univ, Grad Sch Informat Sci & Technol, Suita, Osaka 5650871, Japan
[3] NTT Corp, NTT Media Intelligence Labs, Yokosuka, Kanagawa 2390847, Japan
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2014年 / E97D卷 / 08期
关键词：
multi-party interaction; dialogue systems; human-agent interaction; human-robot interaction; HUMAN-COMPUTER INTERACTION; EMOTION;
D O I：
10.1587/transinf.E97.D.2147
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an experimental study that analyzes how conversational agents activate human communication in thought-evoking multi-party dialogues between multi-users and multi-agents. A thought-evoking dialogue is a kind of interaction in which agents act to provoke user thinking, and it has the potential to activate multi-party interactions. This paper focuses on quiz-style multi-party dialogues between two users and two agents as an example of thought-evoking multi-party dialogues. The experimental results revealed that the presence of a peer agent significantly improved user satisfaction and increased the number of user utterances in quiz-style multi-party dialogues. We also found that agents' empathic expressions significantly improved user satisfaction, improved user ratings of the peer agent, and increased the number of user utterances. Our findings should be useful for activating multi-party communications in various applications such as pedagogical agents and community facilitators.
引用
收藏
页码：2147 / 2156
页数：10
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