Tell me more: Understanding user interaction of smart speaker news powered by conversational search

Hyunhoon Jung, Gilhwan Hwang, Joonhwan Lee, Changhoon Oh, Cindy Yoonjung Oh, Bongwon Suh

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

7 Citations (Scopus)

Abstract

In this study, we apply a “conversational search” to the design of the news service of smart speakers so that users can actively get richer information while listening to the news. We designed a research prototype called “Anchor,” where a smart speaker news assistant provides users with news about specific keywords and responds to users' questions. We recruited 21 participants and conducted a user study where they consumed the news with Anchor, followed by post hoc interviews. The results of the qualitative analysis revealed the following. (1) People preferred interactive news to news briefings. (2) People found it useful to get answers on their questions by talking with the assistant. (3) Although users were allowed to ask questions anytime, they often hesitated, as they did not want to miss the whole flow of the news. (4) However, they had difficulty recalling the questions they had not asked. Based on these findings, we discuss the implications for news design in a voice-only user interface.

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
Country/TerritoryUnited Kingdom
CityGlasgow
Period19/5/419/5/9

Bibliographical note

Publisher Copyright:
© 2019 Copyright held by the owner/author(s).

All Science Journal Classification (ASJC) codes

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

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