Abstract
Social media are an effective means for people to share everyday problems with their peers. Although this often leads to empathic responses which help alleviate the experienced stress, such peer support is not always available. As an alternative solution for such situations, this paper explores the possibilities to develop an ‘artificial friend’ that offers online social support through text messages. To formulate the requirements for such a system, a pilot study was performed in which 230 participants were asked (via a crowdsourcing platform) to report their experiences regarding online peer support. The results have been converted into a number of working hypotheses about online peer support. Based on these hypotheses, a conceptual framework has been developed that describes the functioning of the proposed support system.
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Copyright © 2016 CrowdFlower Inc. Available at https://www.crowdflower.com/. Accessed: 2016-07-14.
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We decided to use these strategies given by Gross [9] since it is a very well accepted work in the scientific community and we aimed to check to what extent such strategies, which are originally defined in the scope of emotional self-regulation, are also used in our context (friends trying to regulate peers’ emotion). The idea to use Gross’ strategies in an interpersonal manner was also adopted by other researchers, for instance in [19].
References
Burks, N., Martin, B.: Everyday problems and life change events: Ongoing versus acute sources of stress. J. Hum. Stress 11(1), 27–35 (1985)
Cobb, S.: Social support as a moderator of life stress. Psychosom. Med. 38(5), 300–314 (1976)
Wills, A.: Stress, social support, and the buffering hypothesis. Psychol. Bull. 98(2), 310 (1985)
Dennis, M., Kindness, P., Masthoff, J., Mellish, C., Smith, K.A.: Towards effective emotional support for community first responders experiencing stress. In: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013, Geneva, Switzerland, September 2–5, 2013, pp. 763–768 (2013)
DeVault, D., Artstein, R., Benn, G., Teresa Dey, E., Fast, A.G., Georgila, K., Gratch, J., Hartholt, A., Lhommet, M., Simsensei kiosk, et al.: A virtual human interviewer for healthcare decision support. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems, pp. 1061–1068. International Foundation for Autonomous Agents and Multiagent Systems (2014)
Eysenbach, G., Powell, J., Englesakis, M., Rizo, C., Stern, A.: Health related virtual communities and electronic support groups: systematic review of the effects of online peer to peer interactions. BMJ 328, 1166–1170 (2004)
Gockley, R., Bruce, A., Forlizzi, J., Michalowski, M., Mundell, A., Rosenthal, S., Sellner, B., Simmons, R., Snipes, K., Schultz, A.C., et al.: Designing robots for long-term social interaction. In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1338–1343. IEEE (2005)
Gross, J.J.: Gross. Emotion regulation: Affective, cognitive, and social consequences. Psychophysiology 39(3), 281–291 (2002)
Gross, J.J., Thompson, R.A.: Emotion regulation: Conceptual foundations (2007)
Heaney, C.A., Israel, B.A.: Social networks, social support. Health Behav. Health Educ. Theor. Res. Pract. 4, 189–210 (2008)
Kim, H.S., Sherman, D.K., Taylor, S.E.: Culture and social support. Am. Psychol. 63(6), 518 (2008)
Leite, I., Pereira, A., Mascarenhas, S., Martinho, C., Prada, R., Paiva, A.: The influence of empathy in human-robot relations. Int. J. Hum. Comput. Stud. 71(3), 250–260 (2013)
Liu, B.: Sentiment Analysis - Mining Opinions, Sentiments, and Emotions. Cambridge University Press, New York (2015)
O’Dea, B., Campbell, A.: Healthy connections: Online social networks and their potential for peer support. In: Health Informatics: The Transformative Power of Innovation - Selected Papers from the 19th Australian National Health Informatics Conference, HIC 2011, 1–4, Brisbane, Australia, pp. 133–140. IOS Press, August 2011
Young, L.: Uses and gratifications of social media: A comparison of facebook and instant messaging. Bull. Sci. Technol. Soci. 30(5), 350–361 (2010)
Takahashi, Y., Uchida, C., Miyaki, K., Sakai, M., Shimbo, T., Nakayama, T.: Potential benefits, harms of a peer support social network service on the internet for people with depressive tendencies: Qualitative content analysis and social network analysis. J. Med. Int. Res., 11(3), 2009
Breda, W., Treur, J., van Wissen, A.: Analysis and support of lifestyle via emotions using social media. In: Aberer, K., Flache, A., Jager, W., Liu, L., Tang, J., Guéret, C. (eds.) SocInfo 2012. LNCS, vol. 7710, pp. 275–291. Springer, Heidelberg (2012). doi:10.1007/978-3-642-35386-4_21
van der Zwaan, J.M., Dignum, V., Jonker, C.M.: A conversation model enabling intelligent agents to give emotional support. In: Ding, W., Jiang, H., Ali, M., Li, M. (eds.) Modern Advances in Intelligent Systems and Tools. SCI, pp. 47–52. Springer, Heidelberg (2012). doi:10.1007/978-3-642-30732-4_6
Williams, M.: Building genuine trust through interpersonal emotion management: A threat regulation model of trust and collaboration across boundaries. Acad. Manage. Rev. 32(2), 595–621 (2007)
Acknowledgements
The authors would like to state that Lenin Medeiros’ stay at Vrije Universtiteit Amsterdam was funded by the Brazilian Science without Borders program. This work was realized with the support from CNPq, National Council for Scientific and Technological Development - Brazil, through a scholarship which reference number is 235134/2014-7. We also would like to thank all the people who gave us important data by answering our questionnaire.
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Medeiros, L., Bosse, T. (2016). Empirical Analysis of Social Support Provided via Social Media. In: Spiro, E., Ahn, YY. (eds) Social Informatics. SocInfo 2016. Lecture Notes in Computer Science(), vol 10047. Springer, Cham. https://doi.org/10.1007/978-3-319-47874-6_30
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