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文章基本信息

  • 标题:Reducing Speech Collisions by Using an Artificial Subtle Expression in a Decelerated Human-Robot Spoken Dialogue
  • 本地全文:下载
  • 作者:Kotaro Funakoshi ; Kazuki Kobayashi ; Mikio Nakano
  • 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:2011
  • 卷号:26
  • 期号:2
  • 页码:353-365
  • DOI:10.1527/tjsai.26.353
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:We argue that task-oriented spoken dialogue systems or communication robots do not need to quickly respond verbally as long as they quickly respond non-verbally by showing their internal states by using an artificial subtle expression. This paper describes an experiment whose results support this point. In this experiment, 48 participants engaged in reservation tasks with a spoken dialogue system coupled with an interface robot using a blinking light expression. The blinking light expression is designed as an artificial subtle expression to intuitively notify a user about a robot's internal states (such as processing) for the sake of reducing speech collisions as consequences of turn-taking failures due to end-of-turn misdetection. Speech collisions harm smooth speech communication and degrade system usability. Two experimental factors were setup: the blinking light factor (with or without a blinking light) and the reply speed factor (moderate or slow reply speed), resulting in four experimental conditions. The results suggest that both the slow reply speed and the blinking light expression can reduce speech collisions, and improve a user's impression. Meanwhile, contrary to expectation, no degradation of evaluation due to the slow reply speed was found.
  • 关键词:turn-taking ; response timing ; spoken dialogue systems ; human robot interaction ; non-verbal communication
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