Abstract
Quantified-self application is widely used in sports and health management; the type and amount of data that can be fed back to the user are growing rapidly. However, only a few studies discussed the social attributes of quantified-self data, especially in the context of cycling. In this study, we present “SocialBike,” a digital augmented bicycle that aims to increase cyclists’ motivation and social relatedness in physical activity by showing their quantified-self data to each other. To evaluate the concept through a rigorous control experiment, we built a cycling simulation system to simulate a realistic cycling experience with SocialBike. A within-subjects experiment was conducted through the cycling simulation system with 20 participants. Quantitative data were collected with the Intrinsic Motivation Inventory (IMI) and data recorded by the simulation system; qualitative data were collected through user interviews. The result showed that SocialBike increase cyclists’ intrinsic motivation, perceived competence, and social relatedness in physical activity.
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References
Epstein, D.A., Jacobson, B.H., Bales, E., McDonald, D.W., Munson, S.A.: From nobody cares to way to go!: a design framework for social sharing in personal informatics. In: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, pp. 1622–1636. ACM, February 2015
Pickett, C.L., Gardner, W.L., Knowles, M.: Getting a cue: the need to belong and enhanced sensitivity to social cues. Pers. Soc. Psychol. Bull. 30(9), 1095–1107 (2004)
Pickett, C.L., Gardner, W.L.: The Social Monitoring System: Enhanced Sensitivity to Social Cues as an Adaptive Response to Social Exclusion (2005)
Ivanov, A., Sharman, R., Rao, H.R.: Exploring factors impacting sharing health-tracking records. Health Policy Technol. 4(3), 263–276 (2015)
Curmi, F., Ferrario, M.A., Southern, J., Whittle, J.: HeartLink: open broadcast of live biometric data to social networks. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1749–1758 (2013)
Mueller, F., Vetere, F., Gibbs, M.R., Edge, D., Agamanolis, S., Sheridan, J.G.: Jogging over a distance between Europe and Australia. In: Proceedings of the 23rd Annual ACM Symposium on User Interface Software and Technology, pp. 189–198. ACM, October 2010
Mauriello, M., Gubbels, M., Froehlich, J.E.: Social fabric fitness: the design and evaluation of wearable E-textile displays to support group running. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2833–2842. ACM, April 2014
Walmink, W., Wilde, D., Mueller, F.F.: Displaying heart rate data on a bicycle helmet to support social exertion experiences. In: Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction, pp. 97–104. ACM, February 2014
Sonne, T., Jensen, M.M.: Race by hearts. In: Pisan, Y., Sgouros, N.M., Marsh, T. (eds.) ICEC 2014. LNCS, vol. 8770, pp. 125–132. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-45212-7_16
Beilharz, K.A., Moere, A.V., Stiel, B., Calò, C.A., Tomitsch, M., Lombard, A.: Expressive wearable sonification and visualisation: design and evaluation of a flexible display. In: NIME, pp. 323–326 (2010)
Walmink, W., Chatham, A., Mueller, F.: Interaction opportunities around helmet design. In: Extended Abstracts on Human Factors in Computing Systems, CHI 2014, pp. 367–370. ACM, April 2014
Liu, X., Vega, K., Qian, J., Paradiso, J., Maes, P.: Fluxa: body movements as a social display. In: Proceedings of the 29th Annual Symposium on User Interface Software and Technology, pp. 155–157. ACM, October 2016
Jacobs, M., Worbin, L.: Reach: dynamic textile patterns for communication and social expression. In: Extended Abstracts on Human Factors in Computing Systems, CHI 2005, pp. 1493–1496. ACM, April 2005
Kan, V., Fujii, K., Amores, J., Zhu Jin, C.L., Maes, P., Ishii, H.: Social textiles: social affordances and icebreaking interactions through wearable social messaging. In: Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction, pp. 619–624. ACM, January 2015
Genç, Ç., Erkaya, M., Balcı, F., Özcan, O.: Exploring dynamic expressions on soft wearables for physical exercises. In: Proceedings of the DIS 2018 Companion Publication of the 2018 Designing Interactive Systems Conference, pp. 147–152. ACM, May 2018
Laibowitz, M., Gips, J., AyIward, R., Pentland, A., Paradiso, J.A.: A sensor network for social dynamics. In: The Fifth International Conference on Information Processing in Sensor Networks, IPSN 2006, pp. 483–491. IEEE, April 2006
Yang, N., et al.: i-Ribbon: social expression through wearables to support weight-loss efforts. In: Intelligent Environments (Workshops), pp. 524–533 (2016)
Yang, N., van Hout, G., Feijs, L., Chen, W., Hu, J.: Eliciting values through wearable expression in weight loss. In: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, p. 86. ACM, September 2017
Williams, A., Farnham, S., Counts, S.: Exploring wearable ambient displays for social awareness. In: Extended Abstracts on Human Factors in Computing Systems, CHI 2006, pp. 1529–1534. ACM, April 2006
Kleinman, L., Hirsch, T., Yurdana, M.: Exploring mobile devices as personal public displays. In: Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, pp. 233–243. ACM, August 2015
Pearson, J., Robinson, S., Jones, M.: It’s about time: smartwatches as public displays. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 1257–1266. ACM, April 2015
Google Fit. https://developers.google.com/fit/
Yang, N., van Hout, G., Feijs, L., Chen, W., Hu, J.: Supporting weight loss through digitally-augmented social expression. In: Streitz, N., Konomi, S. (eds.) HCII 2019. LNCS, vol. 11587, pp. 459–470. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-21935-2_35
Yang, N., van Hout, G., Feijs, L., Chen, W., Hu, J.: Simulating social cycling experience in design research. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds.) IHSED 2019. AISC, vol. 1026, pp. 379–384. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-27928-8_58
McAuley, E., Duncan, T., Tammen, V.V.: Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: a confirmatory factor analysis. Res. Q. Exerc. Sport 60(1), 48–58 (1989)
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Yang, N., van Hout, G., Feijs, L., Chen, W., Hu, J. (2020). SocialBike: Quantified-Self Data as Social Cue in Physical Activity. In: Garcia, N., Pires, I., Goleva, R. (eds) IoT Technologies for HealthCare. HealthyIoT 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 314. Springer, Cham. https://doi.org/10.1007/978-3-030-42029-1_7
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