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The Role of a Social Robot in Behavior Change Coaching

Published:08 March 2021Publication History

ABSTRACT

This experimental study evaluates the effects of coaching people into behavior change with a simulation of the social robot Haru. In order to support participants in their attempts to change their behavior and to create a new habit, a coaching session was created based on the 'Tiny Habits' method developed by BJ Fogg [1]. This coaching session was presented to altogether 41 participants in three conditions. In Condition 1, the dialogue between the participant and the simulated robot was interspersed with emotional expressions and behaviors such as dancing, bowing and vocalizing. Condition 2 used the same set-up with the robot simulator and provided participants with the same guidance, using the same synthesized voice from Condition 1, but without any emotional elements. The third condition was created to evaluate the effect of using a robot as a session coach by comparing the two conditions with Haru to a condition in which the same content was presented, just without a robot. The same script as in the two robot conditions was presented as a text on a website, divided into sections reflecting the human-robot dialogue in the two robot conditions. Data from a post-session questionnaire were supplemented by another questionnaire which was administered 10 days later and focuses on habit retention. Participants from the session with the robot that uses emotional behaviors felt significantly more confident that they will incorporate their behavior change in their lives and thought differently about behavior change. People participating in the session with a robot simulation also had a significantly higher retention rate of their behavior change, thus revealing a positive effect of the social robot.

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    • Published in

      cover image ACM Conferences
      HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
      March 2021
      756 pages
      ISBN:9781450382908
      DOI:10.1145/3434074
      • General Chairs:
      • Cindy Bethel,
      • Ana Paiva,
      • Program Chairs:
      • Elizabeth Broadbent,
      • David Feil-Seifer,
      • Daniel Szafir

      Copyright © 2021 ACM

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      New York, NY, United States

      Publication History

      • Published: 8 March 2021

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