Avatar and Dialog Turn-Yielding Phenomena

Author:

Kunc Ladislav1,Míkovec Zdenek1,Slavík Pavel1

Affiliation:

1. Department of Computer Graphics and Interaction, Czech Technical University in Prague, Prague, Czech Republic

Abstract

Turn-taking and turn-yielding phenomena in dialogs receive increasing attention nowadays. A growing number of spoken dialog systems inspire application designers to humanize people’s interaction experience with computers. The knowledge of psychology in discourse structure could be helpful in this effort. In this paper the authors explore effectiveness of selected visual and vocal turn-yielding cues in dialog systems using synthesized speech and an avatar. The aim of this work is to detect the role of visual and vocal cues on dialog turn-change judgment using a conversational agent. The authors compare and study the cues in two experiments. Findings of those experiments suggest that the selected visual turn-yielding cues are more effective than the vocal cues in increasing correct judgment of dialog turn-change. Vocal cues in the experiment show quite poor results and the conclusion discusses possible explanations of that.

Publisher

IGI Global

Subject

Human-Computer Interaction,Information Systems

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Turn-taking in Conversational Systems and Human-Robot Interaction: A Review;Computer Speech & Language;2021-05

2. TTS-driven Embodied Conversation Avatar for UMB-SmartTV;International Journal of Computers and Communications;2021-04-14

3. Information Structure Parsing for Chinese Legal Texts;International Journal of Technology and Human Interaction;2019-01

4. Context and NLP;Context in Computing;2014

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