Self-tracking as communication

by | Aug 3, 2015 | Research Publications

Author(s):

  • Lomborg, Stine
  • Frandsen, Kirsten

Abstract:

Self-tracking has attracted a lot of attention from researchers and public opinion makers owing to its potential for improving life conditions through preemptive action on health, and as a tool of user empowerment vis-à-vis health-care professionals and private and public institutions. Nevertheless, the ‘stuff’ that is typically tracked – exercise and diet being the dominant tracking activities – refers to cultural and social practices that, for the individual user, are utterly mundane and reside in an experiential realm of everyday life. Self-tracking has to be understood in relation to behavior that is predominantly about getting things done in ways that are possible, suitable and meaningful for the individual. To account for this, we propose to conceptualize self-tracking as a communicative phenomenon along three dimensions: communication with the system, the self and social networks of peers. We develop the theoretical framework, drawing upon empirical findings from a qualitative study on how self-tracking is practiced and experienced in the context of exercise by different categories of empirical users. We demonstrate that the meanings of self-tracking practices are, at once, shaped by the motivation of an individual user who is situated in a broader web of everyday activities, and stimulated and augmented by communicative features provided by the technology.

Document:

https://doi.org/10.1080/1369118X.2015.1067710

References:
  1. Ahtinen, A., Isomursu, M., Ramiah, S., & Blom, J. (2013). Advise, acknowledge, grow and engage: Design principles for a mobile wellness application to support physical activity. International Journal of Mobile Human Computer Interaction, 5(4), 20–55. doi: 10.4018/ijmhci.2013100102 [Crossref], [Google Scholar]
  2. Austin, J. L. (1962). How to do things with words. Oxford: Clarendon Press. [Crossref], [Google Scholar]
  3. Bakardjieva, M. (2005). Internet society. The Internet in everyday life. Thousand Oaks, CA: Sage. [Google Scholar]
  4. Baym, N. K. (2000). Tune in, log on. Soaps, fandom, and online community. Thousand Oaks, CA: Sage. [Google Scholar]
  5. Boyd, D. (2008). Taken out of context. American teen sociality in networked publics (PhD thesis). University of California, Berkeley. [Google Scholar]
  6. Carey, J. W. (1992 (1989)). Communication as culture. Essays on media and society (Reprinted ed.). New York, NY: Routledge. [Google Scholar]
  7. Castells, M. (2007). Communication, power and counter-power in the network society. International Journal of Communication, 1, 238–266. [Crossref], [Google Scholar]
  8. Chiang, J.-H., Yang, P.-C., & Tu, H. (2014). Pattern analysis in daily physical activity data for personal health management. Pervasive and Mobile Computing, 13, 13–25. doi: 10.1016/j.pmcj.2013.12.003 [Crossref], [Web of Science ®], [Google Scholar]
  9. Choe, E. K., Lee, N. B., Lee, B., Pratt, W., & Kientz, J. A. (2014). Understanding quantified-selfers’ practices in collecting and exploring personal data. Paper presented at the CHI 2014, Toronto, ON. [Google Scholar]
  10. Consolvo, S., Klasnja, P., McDonald, D. W., Avrahami, D., Froehlich, J., LeGrand, L.,…Landay, J. A. (2008, September 21–24). Flowers or a robot army? Encouraging awareness & activity with personal, mobile displays. Paper presented at the UbiComp’08 proceedings of the 10th international conference on ubiquitous computing, Seoul, South Korea. [Google Scholar]
  11. Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook ‘friends’: Social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168. doi: 10.1111/j.1083-6101.2007.00367.x [Crossref], [Web of Science ®], [Google Scholar]
  12. Epstein, D. A., Cordeiro, F., Bales, E., Fogarty, J., & Munson, S. A. (2014, June 21–25). Taming data complexity in lifelogs: Exploring visual cuts of personal informatics data. Paper presented at the DIS’14 proceedings of the 2014 conference on designing interactive systems, Vancouver, BC, Canada. [Google Scholar]
  13. Fox, S., & Duggan, M. (2013). Tracking for health. Pew Internet & American Life Project. Retrieved March 1, 2015, from http://pewinternet.org/Reports/2013/Tracking-for-Health.aspx [Google Scholar]
  14. Frandsen, K. (2013). In a different game? Reflections on sports in the media as seen from a game perspective. In P. M. Pedersen (Ed.), Routledge handbook of sport communication (pp. 20–28). London: Routledge. [Google Scholar]
  15. French, M., & Smith, G. (2013). ‘Health’ surveillance: New modes of monitoring bodies, populations, and polities. Critical Public Health, 23(4), 383–392. doi: 10.1080/09581596.2013.838210 [Taylor & Francis Online], [Web of Science ®], [Google Scholar]
  16. Hansen, M. M. (2012). Self-tracking, social media and personal health records for patient empowered self-care (Nursing and Health Professions Faculty Research Paper 17). [Google Scholar]
  17. Hutchby, I. (2000). Conversation and technology: The telephone, the computer, and the nature of human communication. Cambridge: Polity Press. [Google Scholar]
  18. Hutchby, I. (2001). Technologies, texts and affordances. Sociology, 35(2), 441–456. doi: 10.1177/S0038038501000219 [Crossref], [Google Scholar]
  19. Jensen, K. B. (2013). How to do things with data: Meta-data, meta-media, and meta-communication. First Monday, 18(10). Retrieved from http://firstmonday.org/article/view/4870/3751 [Google Scholar]
  20. Kendall, L. (2002). Hanging out in the virtual pub: Masculinities and relationships online. Berkeley: University of California Press. [Crossref], [Google Scholar]
  21. Kim, J. (2014). Analysis of health consumers’ behavior using self-tracker for activity, sleep, and diet. Telemedicine Journal and E-Health, 20(6), 552–558. doi: 10.1089/tmj.2013.0282 [Crossref], [PubMed], [Web of Science ®], [Google Scholar]
  22. Klauser, F. R., & Albrechtslund, A. (2014). From self-tracking to smart urban infrastructures: Towards an interdisciplinary research agenda on Big Data. Surveillance & Society, 12(2), 273–286. [Crossref], [Google Scholar]
  23. Kranza, M., Möller, A., Hammerlac, N., Diewald, S., Plötzc, T., Olivierc, P., & Roalter, L. (2013). The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices. Pervasive and Mobile Computing, 9(2), 203–215. doi: 10.1016/j.pmcj.2012.06.002 [Crossref], [Web of Science ®], [Google Scholar]
  24. Laub, T. B., & Pilgaard, M. H. (2013). Danskernes motions og sportsvaner 2011. Copenhagen: Idrættens Analyseinstitut (IDAN). [Google Scholar]
  25. Li, I., Dey, A., & Jodi, F. (2010). A stage-based model of personal informatics systems. Paper presented at the CHI’10, Atlanta, GA. [Google Scholar]
  26. Lomborg, S. (2014). Social media – Social genres. Making sense of the ordinary. London: Routledge. [Google Scholar]
  27. Lotman, Y. (1990). Universe of the mind. A semiotic theory of culture. Bloomington: Indiana University Press. [Google Scholar]
  28. Lupton, D. (2013a). Donna Haraway: The digital cyborg assemblage and the new digital health technologies. In F. Collyer (Ed.), The Palgrave handbook of social theory in health, illness and medicine (pp. 567–581). Houndmills: Palgrave Macmillan. [Google Scholar]
  29. Lupton, D. (2013b). The digitally-engaged patient: Self-monitoring and self-care in the digital health era. Social Theory and Health, 11(3), 256–270. doi: 10.1057/sth.2013.10 [Crossref], [Web of Science ®], [Google Scholar]
  30. Lupton, D. (2014). Self-tracking modes: Reflexive self-monitoring and data practices. Paper presented at the imminent citizenships: Personhood and identity politics in the informatic age workshop, Canberra. [Google Scholar]
  31. McLuhan, M. (1964). Understanding media: The extensions of man. New York, NY: McGraw Hill. [Google Scholar]
  32. Meyrowitz, J. (1985). No sense of place: The impact of electronic media on social behavior. Oxford: Oxford University Press. [Google Scholar]
  33. Miller, V. (2008). New media networking and phatic culture. Convergence, 14(4), 387–400. [Crossref], [Google Scholar]
  34. Moores, S. (2012). Media, place & mobility. Houndmills: Palgrave Macmillan. [Crossref], [Google Scholar]
  35. Patterson, H. (2013). Contextual expectations of privacy in self-generated health information flows. Paper presented at the TPRC 41: The 41st research conference on communication, information and internet policy. Retrieved from http://ssrn.com/abstract=2242144 [Google Scholar]
  36. Pilgaard, M. H. (2012). Flexible sports participation in late-modern everyday life (PhD thesis). University of Southern Denmark. Retrieved from http://www.idan.dk/vidensbank/forskning-og-analyser?s=pilgaard [Google Scholar]
  37. Reigeluth, T. (2014). Why data is not enough: Digital traces as control of self and self-control. Surveillance & Society, 12(2), 243–254. [Crossref], [Google Scholar]
  38. Rooksby, J., Rost, M., Mossiron, A., & Chalmers, M. (2014). Personal tracking as lived informatics. Paper presented at the CHI 2014, Toronto, ON. [Google Scholar]
  39. Ruckenstein, M. (2014). Visualized and interacted life: Personal analytics and engagements with data doubles. Societies, 4, 68–84. doi: 10.3390/soc4010068 [Crossref], [Google Scholar]
  40. Scannel, P. (1995). For a phenomenology of radio and television. Journal of Communication, 45(3), 4–19. doi: 10.1111/j.1460-2466.1995.tb00741.x [Crossref], [Web of Science ®], [Google Scholar]
  41. Steele, R. (2013). Utilizing social media, mobile devices and sensors for consumer health communication: A framework for categorizing emerging technologies and techniques. In S. C. Mukhopadhyay & O. A. Postolache (Eds.), Pervasive and mobile sensing and computing for healthcare (Vol. 2, pp. 233–249). Berlin: Springer. [Crossref], [Google Scholar]
  42. Stragier, J., & Mechant, P. (2013, February 7–8). Mobile fitness apps for promoting physical activity on Twitter: The #RunKeeper case. Paper presented at the Etmaal van de communicatiewetenschappen, Rotterdam. [Google Scholar]
  43. Stragier, J., Mechant, P., & De Marez, L. (2013). Studying physical activity using social media: An analysis of the added value of RunKeeper tweets. International Journal of Interactive Communication Systems and Technologies, 3(2), 16–28. doi: 10.4018/ijicst.2013070102 [Crossref], [Google Scholar]
  44. Swan, M. (2009). Emerging patient-driven health care models: An examination of health social networks, consumer personalized medicine and quantified self-tracking. International Journal of Environmental Research and Public Health, 6, 492–525. doi: 10.3390/ijerph6020492 [Crossref], [PubMed], [Web of Science ®], [Google Scholar]
  45. Swan, M. (2012). Health 2050: The realization of personalized medicine through crowdsourcing, the quantified self, and the participatory biocitizen. Journal of Personalized Medicine, 2(3), 93–118. doi: 10.3390/jpm2030093 [Crossref], [PubMed], [Google Scholar]
  46. Till, C. (2014). Exercise as labour: Quantified self and the transformation of exercise into labour. Societies, 4, 446–462. doi: 10.3390/soc4030446 [Crossref], [Google Scholar]
  47. Turner-McGrievy, G. M., Beets, M. W., Moore, J. B., Kaczynski, A. T., Barr-Anderson, D. J., & Tate, D. F. (2013). Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program. Journal of the American Medical Informatics Association, 20, 513–518. doi: 10.1136/amiajnl-2012-001510 [Crossref], [PubMed], [Web of Science ®], [Google Scholar]
  48. Vorderer, P., Steen, F. F., & Chan, E. (2006). Motivation. In J. Bryant & P. Vorderer (Eds.), Psychology of entertainment (pp. 3–18). London: Lawrence Erlbaum Associates Publishers. [Google Scholar]
  49. Wang, J., Wang, Y., Wei, C., Yao, N., Yuan, A., Shan, Y., & Yuan, C. (2014). Smartphone interventions for long-term health management of chronic diseases: An integrative review. Telemedicine Journal and E-Health, 20(6), 570–583. doi: 10.1089/tmj.2013.0243 [Crossref], [PubMed], [Web of Science ®], [Google Scholar]
  50. Wellman, B., & Haythornthwaite, C. (Eds.). (2002). The internet in everyday life. Oxford: Wiley-Blackwell. [Crossref], [Google Scholar]
  51. Wolf, G. (2010, April 28). The data-driven life, New York Times. Retrieved from http://www.nytimes.com/2010/05/02/magazine/02self-measurement-t.html?pagewanted=all&_r=0 [Google Scholar]