Author(s):

  • Rapp, Amon
  • Cena, Federica
  • Kay, Judy
  • Kummerfeld, Bob
  • Hopfgartner, Frank
  • Plumbaum, Till
  • Larsen, Jakob Eg
  • Epstein, Daniel A
  • Gouveia, Rúben

Abstract:

While the Quantified Self (QS) community is described in terms of “self-knowledge through numbers” people are increasingly demanding value and meaning. In this workshop we aim at refocusing the QS debate on the value of data for providing new services.

Document:

https://doi.org/10.1145/2968219.2968331

References:
  1. 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. DOI=http://dx.doi.org/10.1145/2750858.2804250
  2. 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. http://doi.acm.org/10.1145/1753326.1753409
  3. Alessandro Marcengo and Amon Rapp. 2014. Visualization of Human Behavior Data: The Quantified Self. In Innovative Approaches of Data Visualization and Visual Analytics, Mao Li Huang. and Weidong Huang (Eds.). IGI Global, Hershey, PA, 236–265. doi:10.4018/978-1-4666-4309-3.ch012
  4. 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. http://doi.acm.org/10.1145/2556288.2557039.