Abstract
Social robots hold the potential to be an effective and appropriate technology in reducing stress and improving the mental health of adolescents. In order to understand the effect of adolescent-to-robot disclosure on momentary stress, we conducted an exploratory, mixed-methods study with sixty-nine US adolescents (ages 14–21) in school settings. We compared a generic, minimalist robot interaction among three different robot embodiments: physical, digital computer screen, and immersive, virtual reality. We found participants’ momentary stress levels significantly decreased across multiple interactions over time. The physical and virtual reality embodiments were most effective for stress reduction. In addition, our qualitative findings provide unique insights into the types of stressors adolescents shared with the social robots as well as their experiences with the different interaction embodiments.
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References
Aminuddin, R., Sharkey, A.: A paro robot reduces the stressful effects of environmental noise. Proc. Eur. Conf. Cogn. Ergon. 2017, 63–64 (2017)
Association, A.P., et al.: Stress in America 2013 highlights: are teens adopting adults’ stress habits (2014)
Bainbridge, W.A., Hart, J.W., Kim, E.S., Scassellati, B.: The benefits of interactions with physically present robots over video-displayed agents. Int. J. Soc. Robot. 3(1), 41–52 (2011)
Birnbaum, G.E., Mizrahi, M., Hoffman, G., Reis, H.T., Finkel, E.J., Sass, O.: What robots can teach us about intimacy: the reassuring effects of robot responsiveness to human disclosure. Comput. Hum. Behav. 63, 416–423 (2016)
Björling, E.A., Cakmak, M., Thomas, K., Rose, E.J.: Exploring teens as robot operators, users and witnesses in the wild. Front. Robot. AI 7, 5 (2020)
Björling, E.A., Rose, E.: Participatory research principles in human-centered design: engaging teens in the co-design of a social robot. Multimodal Technol. Interact. 3(1), 8 (2019)
Björling, E.A., Rose, E., Davidson, A., Ren, R., Wong, D.: Can we keep him forever? teens’ engagement and desire for emotional connection with a social robot. Int. J. Soc. Robot. 12, 65–77 (2019)
Bolton, J.L., Molet, J., Ivy, A., Baram, T.Z.: New insights into early-life stress and behavioral outcomes. Curr. Opin. Behav. Sci. 14, 133–139 (2017)
Cella, D.F., Perry, S.W.: Reliability and concurrent validity of three visual-analogue mood scales. Psychol. Rep. 59(2), 827–833 (1986)
Chen, F., Zheng, D., Liu, J., Gong, Y., Guan, Z., Lou, D.: Depression and anxiety among adolescents during covid-19: a cross-sectional study. Brain, Behav. Immun. 88, 36–38 (2020)
Cohen, S., Kamarck, T., Mermelstein, R., et al.: Perceived stress scale. In: Measuring Stress: A Guide for Health and Social Scientists, pp. 235–283 (1994). https://doi.org/10.1037/t02889-000
Creswell, J.W., Clark, V.L.P.: Designing and Conducting Mixed Methods Research, p. 520 p. Sage Publications, Thousand Oaks (2017)
Davies, C., Eynon, R.: Teenagers and Technology, 1st edn. Routledge, Abingdon (2013)
Duckworth, D., Henkel, Z., Wuisan, S., Cogley, B., Collins, C., Bethel, C.L.: Therabot: the initial design of a robotic therapy support system. In: HRI (Extended Abstracts), pp. 13–14 (2015)
Eiraldi, R., Wolk, C.B., Locke, J., Beidas, R.: Clearing hurdles: the challenges of implementation of mental health evidence-based practices in under-resourced schools. Adv. School Mental Health Promot. 8(3), 124–140 (2015)
Golberstein, E., Wen, H., Miller, B.F.: Coronavirus disease 2019 (COVID-19) and mental health for children and adolescents. JAMA Pediatr. 174(9), 819–820 (2020)
Guest, G., MacQueen, K.M., Namey, E.E.: Applied Thematic Analysis. Sage Publications, Thousand Oaks (2011)
Hofmann, S.G., Asnaani, A., Vonk, I.J., Sawyer, A.T., Fang, A.: The efficacy of cognitive behavioral therapy: a review of meta-analyses. Cogn. Ther. Res. 36(5), 427–440 (2012). https://doi.org/10.1007/s10608-012-9476-1
Jeong, S.: The impact of social robots on young patients’ socio-emotional wellbeing in a pediatric inpatient care context. Ph.D. thesis, Massachusetts Institute of Technology (2017)
Jeong, S., Breazeal, C., Logan, D., Weinstock, P.: Huggable: impact of embodiment on promoting verbal and physical engagement for young pediatric inpatients. In: 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 121–126. IEEE (2017)
Kang, H.S., Makimoto, K., Konno, R., Koh, I.S.: Review of outcome measures in PARO robot intervention studies for dementia care. Geriatric Nursing, New York (2019)
Karaman, M.A., Lerma, E., Vela, J.C., Watson, J.C.: Predictors of academic stress among college students. J. Coll. Couns. 22(1), 41–55 (2019)
Kühnlenz, B., Erhart, M., Kainert, M., Wang, Z.Q., Wilm, J., Kühnlenz, K.: Impact of trajectory profiles on user stress in close human-robot interaction. at-Automatisierungstechnik 66(6), 483–491 (2018)
Lesage, F.X., Berjot, S., Deschamps, F.: Clinical stress assessment using a visual analogue scale. Occup. Med. 62(8), 600–605 (2012)
Leyzberg, D., Spaulding, S., Toneva, M., Scassellati, B.: The physical presence of a robot tutor increases cognitive learning gains. In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol. 34 (2012)
Ling, H.Y., Björling, E.A.: Sharing stress with a robot: what would a robot say? Hum. -Mach. Commun. 1(1), 8 (2020). https://doi.org/10.30658/hmc.1.8
Martelaro, N., Nneji, V.C., Ju, W., Hinds, P.: Tell me more: designing hri to encourage more trust, disclosure, and companionship. In: The Eleventh ACM/IEEE International Conference on Human Robot Interaction, pp. 181–188. IEEE Press (2016)
Martinez, G., Bámaca-Colbert, M.Y.: A reciprocal and longitudinal investigation of peer and school stressors and depressive symptoms among mexican-origin adolescent females. J. Youth Adolesc. 48(11), 2125–2140 (2019)
Maughan, B., Collishaw, S., Stringaris, A.: Depression in childhood and adolescence. J. Can. Acad. Child Adolesc. Psychiatry 22(1), 35 (2013)
McEwen, B.S.: Neurobiological and systemic effects of chronic stress. Chronic Stress 1, 2470547017692328 (2017)
Nomura, T., Suzuki, T., Kanda, T., Kato, K.: Measurement of negative attitudes toward robots. Interact. Stud. 7(3), 437–454 (2006). https://doi.org/10.1075/is.7.3.14nom
Oláh, A.: Coping strategies among adolescents: a cross-cultural study. J. Adolesc. 18(4), 491 (1995)
Scoglio, A.A., Reilly, E.D., Gorman, J.A., Drebing, C.E.: Use of social robots in mental health and well-being research: systematic review. J. Med. Internet Res. 21(7), e13322 (2019)
Seo, S.H., Geiskkovitch, D., Nakane, M., King, C., Young, J.E.: Poor thing! would you feel sorry for a simulated robot? a comparison of empathy toward a physical and a simulated robot. In: 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 125–132. IEEE (2015)
Unity Technologies: Unity. https://unity.com
Vogel, S., Schwabe, L.: Learning and memory under stress: implications for the classroom. NPJ Sci. Learn. 1, 16011 (2016)
Wada, K., Shibata, T., Saito, T., Sakamoto, K., Tanie, K.: Psychological and social effects of one year robot assisted activity on elderly people at a health service facility for the aged. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005. ICRA 2005, pp. 2785–2790. IEEE (2005)
Williams, N., MacLean, K., Guan, L., Collet, J.P., Holsti, L.: Pilot testing a robot for reducing pain in hospitalized preterm infants. OTJR: Occup. Participation Health 39(2), 108–115 (2019)
Yang, G.Z., et al.: Combating COVID-19-the role of robotics in managing public health and infectious diseases (2020)
Yorita, A., Egerton, S., Oakman, J., Chan, C., Kubota, N.: A robot assisted stress management framework: using conversation to measure occupational stress. In: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3761–3767. IEEE (2018)
Zhang, R.: The stress-buffering effect of self-disclosure on facebook: an examination of stressful life events, social support, and mental health among college students. Comput. Hum. Behav. 75, 527–537 (2017)
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Björling, E.A., Ling, H., Bhatia, S., Dziubinski, K. (2020). The Experience and Effect of Adolescent to Robot Stress Disclosure: A Mixed-Methods Exploration. In: Wagner, A.R., et al. Social Robotics. ICSR 2020. Lecture Notes in Computer Science(), vol 12483. Springer, Cham. https://doi.org/10.1007/978-3-030-62056-1_50
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DOI: https://doi.org/10.1007/978-3-030-62056-1_50
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