Exploring effects of conversational fillers on user perception of conversational agents

Yuin Jeong, Younah Kang, Juho Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Through technological advancements in various areas of our lives, Conversational Agents progressed in their human-likeness. In the field of HCI, however, the use of conversational fillers (e.g., “um,” “uh,” etc.) by Conversational Agents have not been fully explored in an experimental setting. We observed the effects on user perceptions of Intelligence, Human-likeness and Likability of Conversational Agents by a 2 x 2 experimental design. From the results of 26 total participants, we concluded that 1) the use of fillers by Conversational Agents are perceived as less intelligent and less likable in task-oriented conversations, 2) and the fillers did not have any statistically significant change in perception of human-likeness. However, further examination showed that users reported filler-speaking agents as more entertaining for social-oriented conversations. With these findings, we discuss design implications for voice-based Conversational Agents.

Original languageEnglish
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450359719
DOIs
Publication statusPublished - 2019 May 2
Event2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom
Duration: 2019 May 42019 May 9

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
CountryUnited Kingdom
CityGlasgow
Period19/5/419/5/9

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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