New frontiers of quantified self 3: exploring understudied categories of users

by | Sep 7, 2017 | Research Publications

Author(s):

Rapp, Amon

Cena, Federica

Kay, Judy

Kummerfeld, Bob

Hopfgartner, Frank

Plumbaum, Till

Larsen, Jakob Eg

Epstein, Daniel A.

Gouveia, Rúben

Abstract:

Quantified Self (QS) field needs to start thinking of how situated needs may affect the use of self-tracking technologies. In this workshop we will focus on the idiosyncrasies of specific categories of users.

Document:

https://doi.org/10.1145/3123024.3124456

References:
  1. Ian Li, Anind Dey, and Jodi Forlizzi. 2010. A stage-based model of personal informatics systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’10), 557–566.
  2. John Rooksby, Mattias Rost, Alistair Morrison, and Matthew Chalmers Chalmers. 2014. Personal tracking as lived informatics. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI ’14), 1163–1172.
  3. Daniel A. Epstein, An Ping, James Fogarty, and Sean A. Munson. 2015. A lived informatics model of personal informatics. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp ’15), 731–742.
  4. Amon Rapp and Federica Cena. 2016. Personal Informatics for Everyday Life: How Users without Prior Self-Tracking Experience Engage with Personal Data. International Journal of Human Computer Studies 94, 1–17.
  5. Brett Wakefield, Carman Neustaedter, and Serena Hillman. 2014. The informatics needs of amateur endurance athletic coaches. In CHI ’14 Extended Abstracts (CHI EA ’14), 2287–2292.
  6. Amon Rapp and Maurizio Tirassa. 2017. Know Thyself: A Theory of the Self for Personal Informatics. Human-computer interaction.