Micol Spitale
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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- Nida Abbasi, Micol Spitale, Joanna Anderson, Tamsin Ford, Peter Jones, and Hatice Gunes. 2022. Can Robots Help in the Evaluation of Mental Wellbeing in Children? An Empirical Study. In 2022 31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN). IEEE.Google Scholar
Digital Library
- Sean Andrist, Bilge Mutlu, and Adriana Tapus. 2015. Look like me: matching robot personality via gaze to increase motivation. In Proceedings of the 33rd annual ACM conference on human factors in computing systems. 3603--3612.Google ScholarDigital Library
- Minja Axelsson, Indu P Bodala, and Hatice Gunes. 2021. Participatory Design of a Robotic Mental Well-being Coach. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN). IEEE, 1081--1088.Google ScholarDigital Library
- Minja Axelsson, Nikhil Churamani, Atahan Caldir, and Hatice Gunes. 2022a. Participant Perceptions of a Robotic Coach Conducting Positive Psychology Exercises: A Systematic Analysis. arXiv preprint arXiv:2209.03827 (2022).Google Scholar
- Minja Axelsson, Micol Spitale, and Hatice Gunes. 2022b. Robots as Mental Well-being Coaches: Design and Ethical Recommendations. arXiv preprint arXiv:2208.14874 (2022).Google Scholar
- Jenay M Beer and et al. 2014. Toward a framework for levels of robot autonomy in human-robot interaction. Journal of human-robot interaction , Vol. 3, 2 (2014), 74.Google ScholarDigital Library
- Elisabetta Bevacqua, Etienne De Sevin, Sylwia Julia Hyniewska, and Catherine Pelachaud. 2012. A listener model: introducing personality traits. Journal on Multimodal User Interfaces , Vol. 6, 1 (2012), 27--38.Google ScholarCross Ref
- Indu P Bodala, Nikhil Churamani, and Hatice Gunes. 2021. Teleoperated robot coaching for mindfulness training: A longitudinal study. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN). IEEE, 939--944.Google ScholarDigital Library
- Elizabeth Broadbent, Vinayak Kumar, Xingyan Li, John Sollers 3rd, Rebecca Q Stafford, Bruce A MacDonald, and Daniel M Wegner. 2013. Robots with display screens: a robot with a more humanlike face display is perceived to have more mind and a better personality. PloS one, Vol. 8, 8 (2013), e72589.Google ScholarCross Ref
- Kate B Carey, Stephen A Maisto, Michael P Carey, and Daniel M Purnine. 2001. Measuring readiness-to-change substance misuse among psychiatric outpatients: I. Reliability and validity of self-report measures. Journal of Studies on Alcohol , Vol. 62, 1 (2001), 79--88.Google ScholarCross Ref
- 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. 254--262.Google ScholarDigital Library
- Nikhil Churamani, Minja Axelsson, Atahan Caldir, and Hatice Gunes. 2022. Continual Learning for Affective Robotics: A Proof of Concept for Wellbeing. In 2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). IEEE.Google Scholar
- Erik De Haan and Judie Gannon. 2017. The coaching relationship. The SAGE handbook of coaching (2017), 195--217.Google Scholar
- David DeVault, Ron Artstein, Grace Benn, Teresa Dey, Ed Fast, Alesia Gainer, Kallirroi Georgila, Jon Gratch, Arno Hartholt, Margaux Lhommet, et al. 2014. SimSensei Kiosk: A virtual human interviewer for healthcare decision support. In Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems. 1061--1068.Google ScholarDigital Library
- Connor Esterwood and Lionel P Robert. 2020. Personality in healthcare human robot interaction (h-hri) a literature review and brief critique. In Proceedings of the 8th International Conference on Human-Agent Interaction. 87--95.Google Scholar
- Juan Fasola and Maja J Matarić. 2013. A socially assistive robot exercise coach for the elderly. Journal of Human-Robot Interaction , Vol. 2, 2 (2013), 3--32.Google ScholarDigital Library
- Samuel T Gladding and Promila Batra. 2007. Counseling: A comprehensive profession. Pearson Education India.Google Scholar
- Lewis R Goldberg. 1993. The structure of phenotypic personality traits. American psychologist, Vol. 48, 1 (1993), 26.Google Scholar
- L Suzzy Green, Lindsay G Oades, and Anthony M Grant. 2006. Cognitive-behavioral, solution-focused life coaching: Enhancing goal striving, well-being, and hope. The Journal of Positive Psychology , Vol. 1, 3 (2006), 142--149.Google ScholarCross Ref
- Tammy Gregersen, Peter D MacIntyre, Kate Hein Finegan, Kyle Talbot, and Shelby Claman. 2014. Examining emotional intelligence within the context of positive psychology interventions. (2014).Google Scholar
- Kristina Gyllensten and Stephen Palmer. 2007. The coaching relationship: An interpretative phenomenological analysis. International Coaching Psychology Review , Vol. 2, 2 (2007), 168--177.Google ScholarCross Ref
- Kerstin S Haring, Katsumi Watanabe, Mari Velonaki, Chad C Tossell, and Victor Finomore. 2018. FFAB-The form function attribution bias in human--robot interaction. IEEE Transactions on Cognitive and Developmental Systems, Vol. 10, 4 (2018), 843--851.Google ScholarCross Ref
- Vicki Hart, John Blattner, and Staci Leipsic. 2001. Coaching versus therapy: A perspective. Consulting Psychology Journal: Practice and Research, Vol. 53, 4 (2001), 229.Google ScholarCross Ref
- Miriam Heyman, Jeff Dill, and Robert Douglas. 2018. The Ruderman white paper on mental health and suicide of first responders. Vol. 41. Ruderman Family Foundation Boston, MA.Google Scholar
- Sooyeon Jeong, Sharifa Alghowinem, Laura Aymerich-Franch, Kika Arias, Agata Lapedriza, Rosalind Picard, Hae Won Park, and Cynthia Breazeal. 2020. A robotic positive psychology coach to improve college students' wellbeing. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 187--194.Google ScholarCross Ref
- Michiel Joosse, Manja Lohse, Jorge Gallego Perez, and Vanessa Evers. 2013. What you do is who you are: The role of task context in perceived social robot personality. In 2013 IEEE International Conference on Robotics and Automation. IEEE, 2134--2139.Google ScholarCross Ref
- Malte Jung and Pamela Hinds. 2018. Robots in the wild: A time for more robust theories of human-robot interaction. , 5 pages.Google Scholar
- Casey Kennington, Daniele Moro, Lucas Marchand, Jake Carns, and David McNeill. 2020. rrSDS: Towards a robot-ready spoken dialogue system. In Proceedings of the 21th annual meeting of the special interest group on discourse and dialogue. 132--135.Google ScholarCross Ref
- Thomas Kiderle, Hannes Ritschel, Kathrin Janowski, Silvan Mertes, Florian Lingenfelser, and Elisabeth André. 2021. Socially-aware personality adaptation. In 2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). IEEE, 1--8.Google ScholarCross Ref
- Robert King, Matthew Bambling, Chris Lloyd, Rio Gomurra, Stacy Smith, Wendy Reid, and Karly Wegner. 2006. Online counselling: The motives and experiences of young people who choose the Internet instead of face to face or telephone counselling. Counselling and Psychotherapy Research , Vol. 6, 3 (2006), 169--174.Google ScholarCross Ref
- Christian U Kr"ageloh, Jaishankar Bharatharaj, Senthil Kumar Sasthan Kutty, Praveen Regunathan Nirmala, and Loulin Huang. 2019. Questionnaires to measure acceptability of social robots: a critical review. Robotics, Vol. 8, 4 (2019), 88.Google ScholarCross Ref
- Kwan Min Lee, Wei Peng, Seung-A Jin, and Chang Yan. 2006. Can robots manifest personality?: An empirical test of personality recognition, social responses, and social presence in human--robot interaction. Journal of communication , Vol. 56, 4 (2006), 754--772.Google ScholarCross Ref
- X Alvin Li, Maria Florendo, E Luke Miller, Hiroshi Ishiguro, and P Ayse Saygin. 2015. Robot form and motion influences social attention. In 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 43--50.Google ScholarDigital Library
- Bernd Löwe, Kurt Kroenke, Wolfgang Herzog, and Kerstin Gr"afe. 2004. Measuring depression outcome with a brief self-report instrument: sensitivity to change of the Patient Health Questionnaire (PHQ-9). Journal of affective disorders , Vol. 81, 1 (2004), 61--66.Google ScholarCross Ref
- Bertram F Malle. 2020. Trust And The Discrepancy Between Expectations And Actual Capabilities. Human-robot interaction: Control, analysis, and design (2020), 1.Google Scholar
- Thomas Munder, Fabian Wilmers, Rainer Leonhart, Hans Wolfgang Linster, and Jürgen Barth. 2010. Working Alliance Inventory-Short Revised (WAI-SR): psychometric properties in outpatients and inpatients. Clinical Psychology & Psychotherapy: An International Journal of Theory & Practice, Vol. 17, 3 (2010), 231--239.Google ScholarCross Ref
- Tatsuya Nomura, Tomohiro Suzuki, Takayuki Kanda, and Kensuke Kato. 2006. Measurement of negative attitudes toward robots. Interaction Studies, Vol. 7, 3 (2006), 437--454.Google ScholarCross Ref
- Warren T Norman. 1963. Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings. The journal of abnormal and social psychology, Vol. 66, 6 (1963), 574.Google Scholar
- Alison O'Daffer, Susannah F Colt, Akash R Wasil, Nancy Lau, et al. 2022. Efficacy and Conflicts of Interest in Randomized Controlled Trials Evaluating Headspace and Calm Apps: Systematic Review. JMIR Mental Health, Vol. 9, 9 (2022), e40924.Google ScholarCross Ref
- World Health Organization. 2022. Mental health at work. https://www.who.int/news-room/fact-sheets/detail/mental-health-at-workGoogle Scholar
- Anastasia K Ostrowski, Cynthia Breazeal, and Hae Won Park. 2022. Mixed-Method Long-Term Robot Usage: Older Adults' Lived Experience of Social Robots. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. 33--42.Google ScholarCross Ref
- Corrado Pacelli, Tharushi Kinkini De Silva Pallimulla Hewa Geeganage, Micol Spitale, Eleonora Beccaluva, and Franca Garzotto. 2022. " How Would You Communicate With a Robot?" People with Neourodevelopmental Disorder's Perspective. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. 968--972.Google ScholarCross Ref
- Maike Paetzel, Giulia Perugia, and Ginevra Castellano. 2020. The persistence of first impressions: The effect of repeated interactions on the perception of a social robot. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. 73--82.Google ScholarDigital Library
- Maike Paetzel-Prüsmann, Giulia Perugia, and Ginevra Castellano. 2021. The influence of robot personality on the development of uncanny feelings. Computers in Human Behavior , Vol. 120 (2021), 106756.Google ScholarDigital Library
- Michael Quinn Patton. 1999. Enhancing the quality and credibility of qualitative analysis. Health services research , Vol. 34, 5 Pt 2 (1999), 1189.Google Scholar
- William Pavot and Ed Diener. 2008. The satisfaction with life scale and the emerging construct of life satisfaction. The journal of positive psychology , Vol. 3, 2 (2008), 137--152.Google Scholar
- Giulia Perugia, Alessandra Rossi, and Silvia Rossi. 2021. Gender revealed: Evaluating the genderedness of furhat's predefined faces. In International Conference on Social Robotics. Springer, 36--47.Google ScholarDigital Library
- Joanne Qina'au and Akihiko Masuda. 2020. Cultural considerations in the context of establishing rapport: A contextual behavioral view on common factors. In Handbook of Cultural Factors in Behavioral Health. Springer, 75--92.Google Scholar
- Jane Ritchie, Liz Spencer, Alan Bryman, and Robert G Burgess. 1994. Analysing qualitative data.Google Scholar
- Lionel Robert. 2018. Personality in the human robot interaction literature: A review and brief critique. In Robert, LP (2018). Personality in the Human Robot Interaction Literature: A Review and Brief Critique, Proceedings of the 24th Americas Conference on Information Systems, Aug. 16--18.Google Scholar
- Kristin E Schaefer, Tracy L Sanders, Ryan E Yordon, Deborah R Billings, and Peter A Hancock. 2012. Classification of robot form: Factors predicting perceived trustworthiness. In Proceedings of the human factors and ergonomics society annual meeting, Vol. 56. SAGE Publications Sage CA: Los Angeles, CA, 1548--1552.Google ScholarCross Ref
- Martin EP Seligman. 2007. Coaching and positive psychology. Australian Psychologist , Vol. 42, 4 (2007), 266--267.Google ScholarCross Ref
- Leah B Shapira and Myriam Mongrain. 2010. The benefits of self-compassion and optimism exercises for individuals vulnerable to depression. The Journal of Positive Psychology , Vol. 5, 5 (2010), 377--389.Google ScholarCross Ref
- Jennifer L Smith and Agnieszka A Hanni. 2019. Effects of a savoring intervention on resilience and well-being of older adults. Journal of Applied Gerontology , Vol. 38, 1 (2019), 137--152.Google ScholarCross Ref
- Sinan Sonlu, Uug ur Güdükbay, and Funda Durupinar. 2021. A conversational agent framework with multi-modal personality expression. ACM Transactions on Graphics (TOG) , Vol. 40, 1 (2021), 1--16.Google ScholarDigital Library
- Micol Spitale, Chris Birmingham, R Michael Swan, and Maja J Matarić. 2021. Composing harmoni: An open-source tool for human and robot modular open interaction. In 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 3322--3329.Google ScholarDigital Library
- Micol Spitale, Sarah Okamoto, Mahima Gupta, Hao Xi, and Maja J Matarić. 2022. Socially Assistive Robots as Storytellers That Elicit Empathy. ACM Transactions on Human-Robot Interaction (2022).Google Scholar
- Robert L Spitzer, Kurt Kroenke, Janet BW Williams, and Bernd Löwe. 2006. A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of internal medicine , Vol. 166, 10 (2006), 1092--1097.Google Scholar
- Adriana Tapus, Cristian cT ua pucs, and Maja J Matarić. 2008. User-robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy. Intelligent Service Robotics , Vol. 1, 2 (2008), 169--183.Google ScholarCross Ref
- Adriana Tapus, Cristian Tapus, and Maja J Mataric. 2009. The use of socially assistive robots in the design of intelligent cognitive therapies for people with dementia. In 2009 IEEE international conference on rehabilitation robotics. IEEE, 924--929.Google ScholarCross Ref
- Ewa Topolewska, Ewa Skimina, WŁODZIMIERZ Strus, Jan Cieciuch, and Tomasz Rowi'nski. 2014. The short IPIP-BFM-20 questionnaire for measuring the Big Five. Roczniki Psychologiczne , Vol. 17, 2 (2014), 385--402.Google Scholar
- Dirk Van Dierendonck. 2004. The construct validity of Ryff's Scales of Psychological Well-being and its extension with spiritual well-being. Personality and individual differences , Vol. 36, 3 (2004), 629--643.Google Scholar
- Marieke van Otterdijk, Heqiu Song, Konstantinos Tsiakas, Ilka van Zeijl, and Emilia Barakova. 2022. Nonverbal Cues Expressing Robot Personality-A Movement Analysts Perspective.Google Scholar
- Sue Wheeler. 2000. What makes a good counsellor? An analysis of ways in which counsellor trainers construe good and bad counselling trainees. Counselling Psychology Quarterly , Vol. 13, 1 (2000), 65--83.Google ScholarCross Ref
- Steve Whittaker, Yvonne Rogers, Elena Petrovskaya, and Hongbin Zhuang. 2021. Designing Personas for expressive robots: personality in the new breed of moving, speaking, and colorful social home robots. ACM Transactions on Human-Robot Interaction (THRI), Vol. 10, 1 (2021), 1--25. ioGoogle ScholarDigital Library
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- Robotic Mental Well-being Coaches for the Workplace: An In-the-Wild Study on Form
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