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User Expectations of Social Robots in Different Applications: An Online User Study

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

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12424))

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Abstract

Social robots are expected to engage in various occupational roles in people’s daily lives. In this study, online questionnaires were used to measure user expectations of social robots in different applications in terms of sociability and competence. One-way analysis of variance and hierarchical cluster analysis results indicated that users have different expectations of robots depending on the application. Robots for education and healthcare are expected to exhibit extremely high sociability and competence. By contrast, robots performing security tasks are expected to be more competent and less sociable, and the opposite is expected of robots for companionship and entertainment. The results of this study can help establish future social robot design guidelines for different applications.

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Author information

Authors and Affiliations

  1. The Graduate Institute of Design Science, Tatung University, Taipei, Taiwan

    Xiao Dou

  2. Department of Industry Design, Tatung University, Taipei, Taiwan

    Chih-Fu Wu & Jin Niu

  3. City College of Dongguan University of Technology, Dongguan, China

    Xi Wang

Authors
  1. Xiao Dou
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  2. Chih-Fu Wu
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  3. Xi Wang
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  4. Jin Niu
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Corresponding author

Correspondence to Xiao Dou .

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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Dou, X., Wu, CF., Wang, X., Niu, J. (2020). User Expectations of Social Robots in Different Applications: An Online User Study. 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_5

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  • DOI: https://doi.org/10.1007/978-3-030-60117-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60116-4

  • Online ISBN: 978-3-030-60117-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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