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Robotic Mental Well-being Coaches for the Workplace: An In-the-Wild Study on Form

Authors:

Minja Axelsson,

Hatice GunesAuthors Info & Claims

HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

Pages 301 - 310

https://doi.org/10.1145/3568162.3577003

Published: 13 March 2023 Publication History

Abstract

The World Health Organization recommends that employers take action to protect and promote mental well-being at work. However, the extent to which these recommended practices can be implemented in the workplace is limited by the lack of resources and personnel availability. Robots have been shown to have great potential for promoting mental well-being, and the gradual adoption of such assistive technology may allow employers to overcome the aforementioned resource barriers. This paper presents the first study that investigates the deployment and use of two different forms of robotic well-being coaches in the workplace in collaboration with a tech company whose employees (26 coachees) interacted with either a QTrobot (QT ) or a Misty robot (M). We endowed the robots with a coaching personality to deliver positive psychology exercises over four weeks (one exercise per week). Our results show that the robot form significantly impacts coachees' perceptions of the robotic coach in the workplace. Coachees perceived the robotic coach in M more positively than in QT (both in terms of behaviour appropriateness and perceived personality), and they felt more connection with the robotic coach in M. Our study provides valuable insights for robotic well-being coach design and deployment, and contributes to the vision of taking robotic coaches into the real world.

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Cited By

Klęczek KRice AAlimardani M(2024)Robots as Mental Health Coaches: A Study of Emotional Responses to Technology-Assisted Stress Management Tasks Using Physiological SignalsSensors10.3390/s2413403224:13(4032)Online publication date: 21-Jun-2024
https://doi.org/10.3390/s24134032
Spitale MParreira MStiber MAxelsson MKara NKankariya GHuang CJung MJu WGunes H(2024)ERR@HRI 2024 Challenge: Multimodal Detection of Errors and Failures in Human-Robot InteractionsProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3689030(652-656)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3689030
Janssens RVerhelst EDe Coster M(2024)Predicting Errors and Failures in Human-Robot Interaction from Multi-Modal Temporal DataProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3688388(671-676)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3688388
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Index Terms

Robotic Mental Well-being Coaches for the Workplace: An In-the-Wild Study on Form
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies

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cover image ACM Conferences

HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

March 2023

631 pages

ISBN:9781450399647

DOI:10.1145/3568162

General Chairs:
Ginevra Castellano
Uppsala University, Sweden
,
Laurel Riek
University of California San Diego, USA
,
Program Chairs:
Maya Cakmak
University of Washington, USA
,
Iolanda Leite
KTH Royal Institute of Technology, Sweden

Copyright © 2023 Owner/Author.

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Published: 13 March 2023

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HRI '23: ACM/IEEE International Conference on Human-Robot Interaction

March 13 - 16, 2023

Stockholm, Sweden

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https://doi.org/10.3390/s24134032
Spitale MParreira MStiber MAxelsson MKara NKankariya GHuang CJung MJu WGunes H(2024)ERR@HRI 2024 Challenge: Multimodal Detection of Errors and Failures in Human-Robot InteractionsProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3689030(652-656)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3689030
Janssens RVerhelst EDe Coster M(2024)Predicting Errors and Failures in Human-Robot Interaction from Multi-Modal Temporal DataProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3688388(671-676)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3688388
Pramanick PRossi S(2024)PRISCA at ERR@HRI 2024: Multimodal Representation Learning for Detecting Interaction Ruptures in HRIProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3688387(666-670)Online publication date: 4-Nov-2024
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Wachowiak LTisnikar PColes ACanal GCeliktutan O(2024)A Time Series Classification Pipeline for Detecting Interaction Ruptures in HRI Based on User ReactionsProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3688386(657-665)Online publication date: 4-Nov-2024
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Dennler NTorrence EYoo UNikolaidis SMataric M(2024)PyLips: an Open-Source Python Package to Expand Participation in Embodied InteractionAdjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3672539.3686747(1-4)Online publication date: 13-Oct-2024
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Bettosi CBaillie LRoss MBroz F(2024)A Systematic Approach to Modeling Structured Behavior in Social RobotsProceedings of the 2024 International Symposium on Technological Advances in Human-Robot Interaction10.1145/3648536.3648540(29-37)Online publication date: 9-Mar-2024
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Axelsson MSpitale MGunes H(2024)Robots as Mental Well-being Coaches: Design and Ethical RecommendationsACM Transactions on Human-Robot Interaction10.1145/364345713:2(1-55)Online publication date: 14-Jun-2024
https://dl.acm.org/doi/10.1145/3643457
Höhn SNasir JPaikan AZiafati PAndré E(2024)Using Large Language Models for Robot-Assisted Therapeutic Role-Play: Factuality is not enough!ACM Conversational User Interfaces 202410.1145/3640794.3665886(1-6)Online publication date: 8-Jul-2024
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