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Persuasive Social Robots using Reward/Coercion Strategies

Published: 01 April 2020 Publication History

Abstract

In this paper, we present a user-study designed to examine the effect of reward/coercion persuasive strategies inspired by social power. We ran the study with 90 participants in a persuasion scenario in which they were asked to make a real choice to select a less-desirable option. The preliminary results indicated that the robot succeeded in persuading the users to select a less desirable choice compared to a better one. However, no difference was found in the perception of the robot regarding the persuasion strategies.

References

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Cynthia Breazeal, Atsuo Takanishi, and Tetsunori Kobayashi. 2008. Social robots that interact with people. Springer handbook of robotics (2008), 1349--1369.
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Colleen M Carpinella, Alisa B Wyman, Michael A Perez, and Steven J Stroessner. 2017. The robotic social attributes scale (rosas): Development and validation. In Proceedings of the 2017 ACM/IEEE International Conference on human-robot interaction. ACM, 254--262.
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JR French, Bertram Raven, and Dorwin Cartwright. 1959. The bases of social power. Classics of organization theory 7 (1959), 311--320.
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Aimi Shazwani Ghazali, Jaap Ham, Emilia Barakova, and Panos Markopoulos. 2018. The influence of social cues in persuasive social robots on psychological reactance and compliance. Computers in Human Behavior 87 (2018), 58--65.
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Mojgan Hashemian, Ana Paiva, Samuel Mascarenhas, Pedro A Santos, and Rui Prada. 2019. Social Power in Human-Robot Interaction: Towards More Persuasive Robots. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. International Foundation for Autonomous Agents and Multiagent Systems, 2015--2017.
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Byron Reeves and Clifford Ivar Nass. 1996. The media equation: How people treat computers, television, and new media like real people and places. Cambridge university press.
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John L Swasy. 1979. Measuring the bases of social power. ACR North American Advances (1979).
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Katie Winkle, Séverin Lemaignan, Praminda Caleb-Solly, Ute Leonards, Ailie Turton, and Paul Bremner. 2019. Effective persuasion strategies for socially assistive robots. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 277--285.

Cited By

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  • (2024)Power in Human-Robot InteractionProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634949(269-282)Online publication date: 11-Mar-2024
  • (2023)“Should I Follow the Human, or Follow the Robot?” — Robots in Power Can Have More Influence Than Humans on Decision-MakingProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581066(1-13)Online publication date: 19-Apr-2023
  • (2022)Hybrid Hierarchical Learning for Adaptive Persuasion in Human-Robot InteractionIEEE Robotics and Automation Letters10.1109/LRA.2022.31408137:2(5520-5527)Online publication date: Apr-2022

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Published In

cover image ACM Conferences
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
March 2020
702 pages
ISBN:9781450370578
DOI:10.1145/3371382
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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2020

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Author Tags

  1. coercion
  2. hri
  3. persuasion
  4. reward
  5. social robots

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  • fundacao para a ciencia e a tecnologia (fct)
  • AMIGOS project

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HRI '20
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Overall Acceptance Rate 192 of 519 submissions, 37%

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HRI '25
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March 4 - 6, 2025
Melbourne , VIC , Australia

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Cited By

View all
  • (2024)Power in Human-Robot InteractionProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634949(269-282)Online publication date: 11-Mar-2024
  • (2023)“Should I Follow the Human, or Follow the Robot?” — Robots in Power Can Have More Influence Than Humans on Decision-MakingProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581066(1-13)Online publication date: 19-Apr-2023
  • (2022)Hybrid Hierarchical Learning for Adaptive Persuasion in Human-Robot InteractionIEEE Robotics and Automation Letters10.1109/LRA.2022.31408137:2(5520-5527)Online publication date: Apr-2022

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