skip to main content
10.1145/3341162.3343848acmconferencesArticle/Chapter ViewAbstractPublication PagesubicompConference Proceedingsconference-collections
poster

I'm listening: the effect of cue difference to elicit user's continuous turn-taking with A.I. agent in TV

Published: 09 September 2019 Publication History

Abstract

This study investigates the effect of different types of cues in terms of modality and message form applied in a turn-taking interaction with a virtual agent. We divided the message form to implicit and explicit, and modality to visual and auditory. The results from a 2 (message form: implicit vs. explicit) x 2 (modality: auditory vs. visual) between subject experiment revealed that implicit auditory cue has a significantly positive effect on inducing the perceived contingency and perceived intelligence in human-agent conversation. These results suggest that designing continuous turn-taking cue should be carefully crafted with elaborated research in various aspects such as social psychology and technical usability. Finally, Implication and limits of these findings are discussed.

References

[1]
Candace Kamm. (1995). User interfaces for voice applications. Proceedings of the National Academy of Sciences 92, 22, 10031--10037.
[2]
Kaveh Hassani and Won-Sook Lee. (2014). On designing migrating agents: from autonomous virtual agents to intelligent robotic systems. SIGGRAPH Asia 2014 Autonomous Virtual Humans and Social Robot for Telepresence on - SIGGRAPH Asia 14.
[3]
Jibo Robot - He can't wait to meet you. Jibo. https://www.jibo.com/.
[4]
Wendy Ju and Larry Leifer. (2008). The Design of Implicit Interactions: Making Interactive Systems Less Obnoxious. Design Issues 24, 3, 72--84.
[5]
Ki Joon. Kim. (2014). Can smartphones be specialists? Effects of specialization in mobile advertising. Telematics and Informatics 31, 4, 640--647.
[6]
Eun-Ju Lee. (2010). The more humanlike, the better? How speech type and users' cognitive style affect social responses to computers. Computers in Human Behavior 26, 4, 665--672.
[7]
Kwan Min Lee and Clifford Nass. (2003). Designing social presence of social actors in human computer interaction. Proceedings of the conference on Human factors in computing systems - CHI 03, 289--296
[8]
Kwan Min Lee, Wei Peng, Seung-A Jin, and Chang Yan. (2006). Can Robots Manifest Personality?: An Empirical Test of Personality Recognition, Social Responses, and Social Presence in Human-Robot Interaction. Journal of Communication 56, 4, 754--772.
[9]
Key Jung Lee, Yeon Kyoung Joo, and Clifford Nass. (2014) Partially intelligent automobiles and driving experience at the moment of system transition. Proceedings of the conference on Human factors in computing systems - CHI 14, 3631--3634.
[10]
R.g. Leiser. (1989). Improving natural language and speech interfaces by the use of metalinguistic phenomena. Applied Ergonomics 20, 3, 168--173.
[11]
Yo Han Moon, Ki Joon Kim, and Dong Hee Shin. (2016). Voices of the Internet of Things: An Exploration of Multiple Voice Effects in Smart Homes. Distributed, Ambient and Pervasive Interactions. Lecture Notes in Computer Science, 270--278.
[12]
Clifford Nass and Li Gong. (2000). Speech interfaces from an evolutionary perspective. Communications of the ACM 43, 9, 36--43.
[13]
Clifford Nass, Jonathan Steuer, and Ellen R. Tauber. (1994). Computers are social actors. Proceedings of the SIGCHI conference on Human factors in computing systems celebrating interdependence - CHI 94, 72--78.
[14]
Nicholas Negroponte. 1996. Being digital. Alfred A. Knopf, New York, USA.
[15]
Donald Norman. 2002. The design of everyday things. Basic Books, New York, USA.
[16]
Rosalind Picard. (1998). Does HAL Cry Digital Tears? Emotions and Computers. HAL's Legacy: 2001's Computer as Dream and Reality. MIT Cognet, 279--304.
[17]
S. Shyam Sundar, Saraswathi Bellur, Jeeyun Oh, Haiyan Jia, and Hyang-Sook Kim. (2016). Theoretical Importance of Contingency in Human-Computer Interaction: Effects of Message Interactivity on User Engagement. Communication Research 43, 5, 595--625.
[18]
S. Shyam Sundar and Clifford Nass. (2000). Source Orientation in Human-Computer Interaction. Communication Research 27, 6: 683--703.
[19]
Alexandra Vtyurina and Adam Fourney. (2018). Exploring the Role of Conversational Cues in Guided Task Support with Virtual Assistants. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI 18.

Cited By

View all
  • (2022)Designing for Perceived Intelligence in Human-Agent Interaction: A Systematic ReviewHCI International 2022 – Late Breaking Posters10.1007/978-3-031-19682-9_91(713-720)Online publication date: 24-Nov-2022

Index Terms

  1. I'm listening: the effect of cue difference to elicit user's continuous turn-taking with A.I. agent in TV

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
    September 2019
    1234 pages
    ISBN:9781450368698
    DOI:10.1145/3341162
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 09 September 2019

    Check for updates

    Author Tags

    1. CASA
    2. continuous turn-taking
    3. implicit interaction
    4. message modality
    5. voice assistant

    Qualifiers

    • Poster

    Conference

    UbiComp '19

    Acceptance Rates

    Overall Acceptance Rate 764 of 2,912 submissions, 26%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)43
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 20 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2022)Designing for Perceived Intelligence in Human-Agent Interaction: A Systematic ReviewHCI International 2022 – Late Breaking Posters10.1007/978-3-031-19682-9_91(713-720)Online publication date: 24-Nov-2022

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media