Towards understanding digital sharing practices in outdoor sports

ABSTRACT

Online social networks have made the sharing of personal experiences with others -- mostly in form of photos and comments -- a common activity. At the same time, an ever increasing number of dedicated sport tracking apps on our smartphones allow us to record statistical and biometric parameters from our workouts and, subsequently, share them with family, friends, and other followers. However, it is unclear if the available set of tracking parameters (such as an average speed, or calories burnt during a sports activity) is expressive enough when it comes to sharing in different sports. In our ongoing meta-study across three outdoor mountain sports, we have investigated whether those tracking apps meet the actual sharing requirements of amateur skiers, climbers, and trail runners. Ultimately, we aim to identify both universal and sport-specific needs for sharing. In this paper, we discuss our initial insights.

References

1. Aino Ahtinen, Minna Isomursu, Ykä Huhtala, Jussi Kaasinen, Jukka Salminen, and Jonna Häkkilä. 2008. Tracking Outdoor Sports - User Experience Perspective. Springer Berlin Heidelberg, 192--209. DOI:http://dx.doi.org/10.1007/978-3-540-89617-3_13
2. Deborah G Ancona, Paul S Goodman, Barbara S Lawrence, and Michael L Tushman. 2001. Time: A new research lens. Academy of management Review 26, 4 (2001), 645--663.
3. Franco Curmi, Maria Angela Ferrario, Jen Southern, and Jon Whittle. 2013. HeartLink: Open Broadcast of Live Biometric Data to Social Networks (CHI '13). ACM, New York, NY, USA, 1749--1758. DOI:http://dx.doi.org/10.1145/2470654.2466231
4. Anton Fedosov and Marc Langheinrich. 2015. From Start to Finish: Understanding Group Sharing Behavior in a Backcountry Skiing Community. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct - MobileHCI '15. ACM Press, New York, New York, USA, 758--765. DOI:http://dx.doi.org/10.1145/2786567.2793698
5. Raine Kajastila and Perttu Hämäläinen. 2014. Benefits of 3D topos for information sharing and planning in rock climbing. Sports Technology (oct 2014). http://www.tandfonline.com/doi/abs/10.1080/19346182.2014.968249?journalCode=rtec20
6. Predrag Klasnja, Sunny Consolvo, Tanzeem Choudhury, Richard Beckwith, and Jeffrey Hightower. 2009. Exploring Privacy Concerns about Personal Sensing. Springer Berlin Heidelberg, 176--183. http://link.springer.com/chapter/10.1007/978-3-642-01516-8
7. Kristina Knaving, Paweł Wolniak, Morten Fjeld, and Staffan Björk. 2015. Flow is Not Enough: Understanding the Needs of Advanced Amateur Runners to Design Motivation Technology. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15. ACM Press, New York, New York, USA, 2013--2022. DOI:http://dx.doi.org/10.1145/2702123.2702542
8. Ioannis Krontiris, Marc Langheinrich, and Katie Shilton. 2014. Trust and privacy in mobile experience sharing: future challenges and avenues for research. IEEE Communications Magazine 52, 8 (aug 2014), 50--55. DOI:http://dx.doi.org/10.1109/MCOM.2014.6871669
9. F. Michahelles and B. Schiele. 2005. Sensing and monitoring professional skiers. IEEE Pervasive Computing 4, 3 (July 2005), 40--45. DOI:http://dx.doi.org/10.1109/MPRV.2005.66
10. Matthew B Miles and A Michael Huberman. 1994. Qualitative data analysis: An expanded sourcebook. Sage.
11. Florian Mueller, Frank Vetere, Martin R Gibbs, Darren Edge, Stefan Agamanolis, and Jennifer G Sheridan. 2010. Jogging over a Distance Between Europe and Australia. In Proceedings of the 23Nd Annual ACM Symposium on User Interface Software and Technology (UIST '10). ACM, New York, NY, USA, 189--198. DOI:http://dx.doi.org/10.1145/1866029.1866062
12. Sean Munson and Sunny Consolvo. 2012. Exploring Goal-setting, Rewards, Self-monitoring, and Sharing to Motivate Physical Activity. In Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare. IEEE, 25--32. DOI:http://dx.doi.org/10.4108/icst.pervasivehealth.2012.248691
13. Jarno Ojala. 2013. Personal content in online sports communities: motivations to capture and share personal exercise data. International Journal of Social and Humanistic Computing 14 2, 1-2 (2013), 68--85.
14. Aarathi Prasad, Jacob Sorber, Timothy Stablein, Denise Anthony, and David Kotz. 2012. Understanding sharing preferences and behavior for mHealth devices. In Proceedings of the 2012 ACM workshop on Privacy in the electronic society - WPES '12 (WPES '12). ACM Press, New York, New York, USA, 117. DOI:http://dx.doi.org/10.1145/2381966.2381983
15. Andrew Raij, Animikh Ghosh, Santosh Kumar, and Mani Srivastava. 2011. Privacy Risks Emerging from the Adoption of Innocuous Wearable Sensors in the Mobile Environment (CHI '11). ACM, New York, NY, USA, 11--20. DOI:http://dx.doi.org/10.1145/1978942.1978945
16. Tammy Toscos, Anne Faber, Shunying An, and Mona Praful Gandhi. 2006. Chick Clique: Persuasive Technology to Motivate Teenage Girls to Exercise. In CHI '06 extended abstracts on Human factors in computing systems - CHI EA '06 (CHI EA '06). ACM Press, New York, New York, USA, 1873. DOI:http://dx.doi.org/10.1145/1125451.1125805

Index Terms

• Human-centered computing