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Whether information source should be provided in the response of voice interaction system?

  • Beihang University
  • Baidu Inc

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The information source of voice interaction system response may influence users’ affective experience. This research is to get a better understanding of whether information source should be provided in the response of voice interaction system and what types of information source should be used to offer a better affective experience to users. In this study, we explored the effect of three different information source types (no information source, information source from professional organizations, information source from internet users) of voice interaction system’s responses on users’ affective experience from five different application scenarios (music query, news query, health query, travel query, and restaurant query). Three questions, including affection, acceptance and satisfaction, were used to measure users’ affective experience. All quantitative data were collected based on the E-Prime experimental platform and 21 participants took part in this study. The results showed that, as a whole, participants preferred the responses with information sources from professional organizations, while there was no significant difference between information source from internet users and no information source. In different application scenarios, the types of information sources preferred by users were different. In music query, news query, and health query scenarios, it was recommended to consider information source from professional organizations; In travel query and restaurant query scenarios, it was suggested to consider information source from internet users.

Original languageEnglish
Title of host publicationEngineering Psychology and Cognitive Ergonomics. Mental Workload, Human Physiology, and Human Energy - 17th International Conference, EPCE 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
EditorsDon Harris, Wen-Chin Li
PublisherSpringer
Pages257-269
Number of pages13
ISBN (Print)9783030490430
DOIs
StatePublished - 2020
Event17th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12186 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Country/TerritoryDenmark
CityCopenhagen
Period19/07/2024/07/20

Keywords

  • Information source
  • Response of voice interaction system
  • Users’ affective experience

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