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Design and Evaluation of Service Robot's Proactivity in Decision-Making Support Process

Authors:

Xiaojuan MaAuthors Info & Claims

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: 98, Pages 1 - 13

https://doi.org/10.1145/3290605.3300328

Published: 02 May 2019 Publication History

Abstract

As service robots are envisioned to provide decision-making support (DMS) in public places, it is becoming essential to design the robot's manner of offering assistance. For example, robot shop assistants that proactively or reactively give product recommendations may impact customers' shopping experience. In this paper, we propose an anticipation-autonomy policy framework that models three levels of proactivity (high, medium and low) of service robots in DMS contexts. We conduct a within-subject experiment with 36 participants to evaluate the effects of DMS robot's proactivity on user perceptions and interaction behaviors. Results show that a highly proactive robot is deemed inappropriate though people can get rich information from it. A robot with medium proactivity helps reduce the decision space while maintaining users' sense of engagement. The least proactive robot grants users more control but may not realize its full capability. We conclude the paper with design considerations for service robot's manner.

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Cited By

Sun JHuang YHuang XZhang JZhang H(2024)Effect of Proactive Interaction on Trust in Autonomous VehiclesSustainability10.3390/su1608340416:8(3404)Online publication date: 18-Apr-2024
https://doi.org/10.3390/su16083404
Stiber MBohus DAndrist S(2024)"Uh, This One?": Leveraging Behavioral Signals for Detecting Confusion during Physical TasksProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685727(194-203)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3685727
Liu TZhao HLiu YWang XPeng Z(2024)ComPeer: A Generative Conversational Agent for Proactive Peer SupportProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676430(1-22)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676430
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Index Terms

Design and Evaluation of Service Robot's Proactivity in Decision-Making Support Process
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Laboratory experiments
      2. User studies
  2. Interaction design
    1. Interaction design theory, concepts and paradigms

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cover image ACM Conferences

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

9077 pages

ISBN:9781450359702

DOI:10.1145/3290605

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

Copyright © 2019 ACM.

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Published: 02 May 2019

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Cited By

Sun JHuang YHuang XZhang JZhang H(2024)Effect of Proactive Interaction on Trust in Autonomous VehiclesSustainability10.3390/su1608340416:8(3404)Online publication date: 18-Apr-2024
https://doi.org/10.3390/su16083404
Stiber MBohus DAndrist S(2024)"Uh, This One?": Leveraging Behavioral Signals for Detecting Confusion during Physical TasksProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685727(194-203)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3685727
Liu TZhao HLiu YWang XPeng Z(2024)ComPeer: A Generative Conversational Agent for Proactive Peer SupportProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676430(1-22)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676430
van Den broek MMoeslund T(2024)What is Proactive Human-Robot Interaction? - A Review of a Progressive Field and Its DefinitionsACM Transactions on Human-Robot Interaction10.1145/365011713:4(1-30)Online publication date: 23-Apr-2024
https://dl.acm.org/doi/10.1145/3650117
Kraus MKlein SWagner NMinker WAndré E(2024)A Pilot Study on Multi-Party Conversation Strategies for Group RecommendationsProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665569(1-7)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665569
Peng ZChen QShen ZMa XOulasvirta A(2024)DesignQuizzer: A Community-Powered Conversational Agent for Learning Visual DesignProceedings of the ACM on Human-Computer Interaction10.1145/36373218:CSCW1(1-40)Online publication date: 26-Apr-2024
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Oh JKim WKim SIm HLee S(2024)Better to Ask Than Assume: Proactive Voice Assistants’ Communication Strategies That Respect User Agency in a Smart Home EnvironmentProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642193(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642193
Jamshad RHaripriyan ASonti ASimkins SRiek LGrollman DBroadbent EJu WSoh HWilliams T(2024)Taking Initiative in Human-Robot Action Teams: How Proactive Robot Behaviors Affect TeamworkCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640640(559-562)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610978.3640640
Klein SHuch JReißner NZwolsky PWeitz KKraus MAndré EGrollman DBroadbent EJu WSoh HWilliams T(2024)Creating a Framework for a User-Friendly Cobot Failure Management in Human-Robot CollaborationCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640591(618-622)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610978.3640591
Domínguez-Vidal JSanfeliu A(2024)Anticipation and Proactivity. Unraveling Both Concepts in Human-Robot Interaction through a Handover Example2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731441(957-962)Online publication date: 26-Aug-2024
https://doi.org/10.1109/RO-MAN60168.2024.10731441
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