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Understanding Voice Search Behavior: Review and Synthesis of Research

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HCI International 2020 - Late Breaking Papers: Multimodality and Intelligence (HCII 2020)

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Abstract

This article reviews the recent user-oriented studies on voice search interaction and aims to understand how users perform and perceive voice search. With a systematic data collection and screening process, twenty-seven publications were included. We found that the current studies sampled predominantly young and well-educated population. Four topics of interest in voice search were identified, i.e., query characteristics, query strategy, spoken conversational search, user’s perception. The result reveals the influences of voice-based modality on users’ search behavior and perceptions and the review concludes with potential directions of research on voice search interaction.

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Notes

  1. 1.

    www.covidence.org.

  2. 2.

    Some of the publications were based on the same experiment but reported different aspects of the findings. In this review, a “study” refers to an experiment and a “publication” refers to a retrieved publication.

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Acknowledgments

The authors would like to appreciate the support from the librarians at Health Science Library at the University of North Carolina at Chapel Hill. This study is partially supported by the Carolina Health Informatics Program and the Laboratory of Applied Informatics Research at the University of North Carolina at Chapel Hill. The authors also thank the reviewers for thoughtful and thorough review.

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Authors and Affiliations

  1. University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA

    Zhaopeng Xing & Javed Mostafa

  2. University at Albany - State University of New York, Albany, NY, 12203, USA

    Xiaojun Yuan

  3. Wuhan University, Wuhan, Hubei, China

    Dan Wu & Yeman Huang

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  1. Zhaopeng Xing
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  2. Xiaojun Yuan
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  3. Dan Wu
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  4. Yeman Huang
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  5. Javed Mostafa
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Correspondence to Zhaopeng Xing .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  3. Siemens Corporation, Princeton, NJ, USA

    Helmut Degen

  4. University of Central Florida, Orlando, FL, USA

    Lauren Reinerman-Jones

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Xing, Z., Yuan, X., Wu, D., Huang, Y., Mostafa, J. (2020). Understanding Voice Search Behavior: Review and Synthesis of Research. In: Stephanidis, C., Kurosu, M., Degen, H., Reinerman-Jones, L. (eds) HCI International 2020 - Late Breaking Papers: Multimodality and Intelligence. HCII 2020. Lecture Notes in Computer Science(), vol 12424. Springer, Cham. https://doi.org/10.1007/978-3-030-60117-1_23

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