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The Experience and Effect of Adolescent to Robot Stress Disclosure: A Mixed-Methods Exploration

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Social Robotics (ICSR 2020)

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

  1. Aminuddin, R., Sharkey, A.: A paro robot reduces the stressful effects of environmental noise. Proc. Eur. Conf. Cogn. Ergon. 2017, 63–64 (2017)

    Google Scholar 

  2. Association, A.P., et al.: Stress in America 2013 highlights: are teens adopting adults’ stress habits (2014)

    Google Scholar 

  3. 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)

    Article  Google Scholar 

  4. 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)

    Article  Google Scholar 

  5. 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)

    Article  Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. 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)

    Article  Google Scholar 

  8. 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)

    Article  Google Scholar 

  9. Cella, D.F., Perry, S.W.: Reliability and concurrent validity of three visual-analogue mood scales. Psychol. Rep. 59(2), 827–833 (1986)

    Article  Google Scholar 

  10. 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)

    Article  Google Scholar 

  11. 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

  12. Creswell, J.W., Clark, V.L.P.: Designing and Conducting Mixed Methods Research, p. 520 p. Sage Publications, Thousand Oaks (2017)

    Google Scholar 

  13. Davies, C., Eynon, R.: Teenagers and Technology, 1st edn. Routledge, Abingdon (2013)

    Book  Google Scholar 

  14. 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)

    Google Scholar 

  15. 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)

    Article  Google Scholar 

  16. 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)

    Article  Google Scholar 

  17. Guest, G., MacQueen, K.M., Namey, E.E.: Applied Thematic Analysis. Sage Publications, Thousand Oaks (2011)

    Google Scholar 

  18. 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

    Article  Google Scholar 

  19. 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)

    Google Scholar 

  20. 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)

    Google Scholar 

  21. 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)

    Book  Google Scholar 

  22. 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)

    Article  Google Scholar 

  23. 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)

    Google Scholar 

  24. Lesage, F.X., Berjot, S., Deschamps, F.: Clinical stress assessment using a visual analogue scale. Occup. Med. 62(8), 600–605 (2012)

    Article  Google Scholar 

  25. 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)

    Google Scholar 

  26. 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

    Article  Google Scholar 

  27. 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)

    Google Scholar 

  28. 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)

    Article  Google Scholar 

  29. Maughan, B., Collishaw, S., Stringaris, A.: Depression in childhood and adolescence. J. Can. Acad. Child Adolesc. Psychiatry 22(1), 35 (2013)

    Article  Google Scholar 

  30. McEwen, B.S.: Neurobiological and systemic effects of chronic stress. Chronic Stress 1, 2470547017692328 (2017)

    Article  Google Scholar 

  31. 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

    Article  Google Scholar 

  32. Oláh, A.: Coping strategies among adolescents: a cross-cultural study. J. Adolesc. 18(4), 491 (1995)

    Article  Google Scholar 

  33. 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)

    Article  Google Scholar 

  34. 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)

    Google Scholar 

  35. Unity Technologies: Unity. https://unity.com

  36. Vogel, S., Schwabe, L.: Learning and memory under stress: implications for the classroom. NPJ Sci. Learn. 1, 16011 (2016)

    Article  Google Scholar 

  37. 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)

    Google Scholar 

  38. 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)

    Google Scholar 

  39. Yang, G.Z., et al.: Combating COVID-19-the role of robotics in managing public health and infectious diseases (2020)

    Google Scholar 

  40. 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)

    Google Scholar 

  41. 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)

    Article  Google Scholar 

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Correspondence to Honson Ling , Simran Bhatia or Kimberly Dziubinski .

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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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