Franco Curmi
Maria Angela Ferrario
ABSTRACT
A number of studies in the literature have looked into the use of real-time biometric data to improve one's own physiological performance and wellbeing. However, there is limited research that looks into the effects that sharing biometric data with others could have on one's social network. Following a period of research on existing mobile applications and prototype testing, we developed a system, HeartLink, which collects real-time personal biometric data such as heart rate and broadcasts this data online. Insights gained on designing systems to broadcast real-time biometric data are presented. In this paper we also report emerging results from testing HeartLink in a pilot study and a user study that were conducted during sport events. The results showed that sharing heart rate data does influence the relationship of the persons involved and that the degree of influence seems related to the tie strength prior to visualizing the data.
- Backstrom, L., Boldi, P., Rosa, M., Ugander, J., and Vigna, S. Four Degrees of Separation. WebSci 2012, (2012), 33--42. Google Scholar
Digital Library
- Chamberlain, A., Crabtree, A., Rodden, T., Jones, M., and Rogers, Y. Research in the Wild: Understanding "In the Wild" Approaches to Design and Development. ACM Press (2012), 795--796. Google ScholarDigital Library
- Consolvo, S., Everitt, K., Smith, I., and Landay, J. A. Design requirements for technologies that encourage physical activity. CHI 2006, (2006), 457--466. Google ScholarDigital Library
- Eberle, B. Scamper On: More Creative Games and Activities for Imagination Development - Prufrock Press. 1997.Google Scholar
- Hallberg, J., Svensson, S., Ostmark, A., Lindgren, P., and Synnes, K. Enriched media-experience of sport events. WMCSA 2004, (2004). Google ScholarDigital Library
- Killeen, P. R. and Fetterman, J. G. A behavioral theory of timing. Psychological Review (1988), 274--295.Google Scholar
- Klasnja, P. and Pratt, W. Healthcare in the pocket: Mapping the space of mobile-phone health interventions. Journal of Biomedical Informatics, (2011), 184--198. Google ScholarDigital Library
- Klasnja, P., Consolvo, S., McDonald, D. W., Landay, J. A., and Pratt, W. Using mobile & personal sensing technologies to support health behavior change in everyday life: lessons learned. AMIA 2009, (2009), 338--342.Google Scholar
- Lin, J. J., Mamykina, L., Lindtner, S., Delajoux, G., and Strub, H. B. Fish'n'Steps: Encouraging Physical Activity with an Interactive Computer Game. Ubicomp 2006, (2006), 261--278. Google ScholarDigital Library
- Liu, C., Zhu, Q., Holroyd, K. A., and Seng, E. K. Status and trends of mobile-health applications for iOS devices: A developer's perspective. Journal of Systems and Software, (2011), 2022--2033. Google ScholarDigital Library
- Miluzzo, E., Lane, N. D., Fodor, K., and Peterson, R. Sensing meets mobile social networks. SenSys'08, (2008), 337--350. Google ScholarDigital Library
- Mueller, F., Vetere, F., Gibbs, M. R., Edge, D., Agamanolis, S., and Sheridan, J. G. Jogging over a distance between Europe and Australia. UIST'10 (2010), 189--198. Google ScholarDigital Library
- Munson, S. A. and Consolvo, S. Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity. Pervasive Health (2012), 25--32.Google Scholar
- Newman, M. W., Lauterbach, D., Munson, S. A., Resnick, P., and Morris, M. E. It's not that I don't have problems, I'm just not putting them on Facebook: challenges and opportunities in using online social networks for health. CSCW 2011, (2011), 341--350. Google ScholarDigital Library
- Nicholls, J. The MCC decision matrix: a tool for applying strategic logic to everyday activity. Management decision 33, 6 (1995), 4--10.Google Scholar
- Petruzzello, S. J., Landers, D. M., and Salazar, W. Biofeedback and sport/exercise performance: Applications and limitations. Behavior therapy 22, (1991), 379--392.Google Scholar
- Reis, H. T., Smith, S. M., Carmichael, C. L., et al. Are you happy for me? How sharing positive events with others provides personal and interpersonal benefits. Journal of personality and social psychology 99, 2 (2010), 311--329.Google Scholar
- Sallis, J. F., Hovell, M. F., and Richard Hofstetter, C. Predictors of adoption and maintenance of vigorous physical activity in men and women. Preventive Medicine 21, 2 (1992), 237--251.Google ScholarCross Ref
- Schnädelbach, H., Rennick Egglestone, S., Reeves, S., Benford, S., Walker, B., and Wright, M. Performing thrill: designing telemetry systems and spectator interfaces for amusement rides. CHI 2008, (2008), 1167--1176. Google ScholarDigital Library
- Segerståhl, K. and Oinas-Kukkonen, H. Designing personal exercise monitoring employing multiple modes of delivery: Implications from a qualitative study on heart rate monitoring. International Journal of Medical Informatics, (2011), 203--213.Google ScholarCross Ref
- Shehab, M. and Marouf, S. Recommendation Models for Open Authorization. Dependable and Secure Computing 9, 4 (2012), 583--596. Google ScholarDigital Library
- Skeels, M. M., Unruh, K. T., Powell, C., and Pratt, W. Catalyzing social support for breast cancer patients. CHI 2010, (2010), 173--182. Google ScholarDigital Library
- Southern, J. Comobility: How Proximity and Distance Travel Together in Locative Media. Canadian Journal of Communication 37, (2012), 75--91.Google Scholar
- Tennent, P., Martindale, S., Marshall, J., Reeves, S., Walker, B., and Harter, P. Performing The Experiment Live. CHI'12, (2012).Google Scholar
- Tennent, P., Reeves, S., Benford, S., et al. The machine in the ghost: augmenting broadcasting with biodata. CHI'12, (2012), 91--100. Google ScholarDigital Library
- Tosun, L. P. Motives for Facebook use and expressing "true self" on the Internet. Computers in Human Behavior 28, 4 (2012), 1510--1517. Google ScholarDigital Library
- Treiber, F. A., Baranowski, T., Braden, D. S., Strong, W. B., Levy, M., and Knox, W. Social support for exercise: relationship to physical activity in young adults. Preventive Medicine 20, 6 (1991), 737--750.Google ScholarCross Ref
- Wilson, C., Boe, B., Sala, A., Puttaswamy, K. P. N., and Zhao, B. Y. User interactions in social networks and their implications. EuroSys'09, (2009), 205--218. Google ScholarDigital Library
- Wilson, V. and Peper, E. Athletes Are Different: Factors That Differentiate Biofeedback/Neurofeedback for Sport Versus Clinical Practice. Biofeedback 39, 1 (2011), 27--30.Google Scholar
Index Terms
- HeartLink: open broadcast of live biometric data to social networks
Recommendations
Sharing real-time biometric data across social networks: requirements for research experiments
DIS '14: Proceedings of the 2014 conference on Designing interactive systemsThere is growing research interest in exploring how biometric data is and can be shared across online social networks. However, most existing tools for sharing biometric data lock researchers into vendor-specific solutions that cannot be easily adapted ...
HeartLink: open broadcast of live biometric data to social networks
CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing SystemsA number of studies in the literature have looked into the use of real-time biometric data to improve one's own physiological performance and wellbeing. However, there is limited research that looks into the effects that sharing biometric data with ...
An overview of protection of privacy in multibiometrics
Biometric authentication systems (BASs) have various advantages over traditional authentication systems such as password based systems. In BASs, information related to individuals' physical and psychological characteristics is employed for ...
Comments