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Personal Informatics for Sport: Meaning, Body, and Social Relations in Amateur and Elite Athletes

Published:08 June 2018Publication History
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Abstract

Technological advances in wearable computing are changing the sports domain. A variety of Personal Informatics (PI) tools are starting to provide support and improve athletes’ performance in many sports. In this article, we interviewed 20 amateur and elite athletes of different disciplines, using an array of PI devices, to explore how sports, as well as athletes’ experience, are affected by such instruments. We discovered that amateur athletes present different patterns of usage compared to elite ones. Moreover, we found that elite athletes make sense of their data by exploiting the knowledge they have about their own body and sports practice. We then proposed four considerations for design that we believe should be explored in the future, to reflect on how self-tracking is changing our perspective on sports, and, by and large, on our everyday life.

References

  1. Aino Ahtinen, Pertti Huuskonen, and Jonna Häkkilä. 2010. Let's all get up and walk to the north pole: Design and evaluation of a mobile wellness application. In Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries (NordiCHI’10). ACM, New York, NY, 3--12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Aino Ahtinen. 2015. Mobile Applications to Support Physical Exercise -- Motivational Factors and Design Strategies, Vol. 1318. Tampere University of Technology.Google ScholarGoogle Scholar
  3. Susan M. Andersen, Serena Chen, and Regina Miranda. 2002. Significant others and the self. Self and Identity 1 (2015), 159--168.Google ScholarGoogle ScholarCross RefCross Ref
  4. Eytan Adar, Desney S. Tan, and Jaime Teevan. 2013. Benevolent deception in human computer interaction. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’13). ACM, New York, NY, 1863--1872. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Amid Ayobi, Paul Marshall, and Anna L. Cox. 2016. Reflections on 5 years of personal informatics: Rising concerns and emerging directions. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA’16). ACM, New York, NY, 2774--2781. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Kristen Barta and Gina Neff. 2016. Technologies for sharing: Lessons from quantified self about the political economy of platforms. Information, Communication 8 Society 19, 4(2016), 518--531.Google ScholarGoogle Scholar
  7. Glenn A. Bowen. 2008. Naturalistic inquiry and the saturation concept: A research note. Qualitative Research 8, 1 (2008), 137--152.Google ScholarGoogle ScholarCross RefCross Ref
  8. Eun Kyoung Choe, Nicole B. Lee, Bongshin Lee, Wanda Pratt, and Julie A. Kientz. 2014. Understanding quantified-selfers’ practices in collecting and exploring personal data. In Proceedings of the 32nd annual ACM Conference on Human Factors in Computing Systems (CHI’14). ACM, New York, NY, 1143--1152. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Eun Kyoung Choe, Bongshin Lee, Matthew Kay, Wanda Pratt, and Julie A. Kientz. 2015. Sleeptight: Low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’15). ACM, New York, NY, 121--132. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. W. J. Clancey (1997). Situated Cognition: On Human Knowledge and Computer Representations. Cambridge University Press, New York, NY. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. James Clawson, Jessica A. Pater, Andrew D. Miller, Elizabeth D. Mynatt, and Lena Mamykina. 2015. No longer wearing: investigating the abandonment of personal health-tracking technologies on craigslist. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’15). ACM, New York, NY, 647--658. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Sunny Consolvo, David W. McDonald, Tammy Toscos, Mike Y. Chen, Jon Froehlich, Beverly Harrison, Predrag Klasnja, Anthony LaMarca, Louis LeGrand, Ryan Libby, Ian Smith, and James A. Landay. 2008. Activity sensing in the wild: A field trial of ubifit garden. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’08). ACM, New York, NY, 1797--1806. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Gregory Conti and Edward Sobiesk. 2010. Malicious interface design: Exploiting the user. In Proceedings of the 19th International Conference on World Wide Web (WWW’10). ACM, New York, NY, 271--280. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Aaron J. Coutts and Stuart and Cormack. 2014. Monitoring the training response. In High-Performance Training for Sports. David Joyce and Daniel Lewindon (Eds.). Human Kinetics Publishers, Champaign, 71--84.Google ScholarGoogle Scholar
  15. Kate Crawford, Jessa Lingel, and Tero Karppi. 2015. Our metrics, ourselves: A hundred years of self-tracking from the weight scale to the wrist wearable device. European Journal of Cultural Studies 18, 4--5 (2015), 479--496.Google ScholarGoogle ScholarCross RefCross Ref
  16. Kevin Currell and Asker E. Jeukendrup. 2008. Validity, reliability and sensitivity of measures of sporting performance. Sports Medicine 38, 4 (2008), 297--316.Google ScholarGoogle ScholarCross RefCross Ref
  17. Chris Elsden, David S. Kirk, and Abigail C. Durrant. 2016. A quantified past: Toward design for remembering with personal informatics. Human-Computer Interaction 31, 6 (2016), 518--557. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Daniel Epstein, Felicia Cordeiro, Elizabeth Bales, James Fogarty, and Sean Munson. 2014. Taming data complexity in lifelogs: Exploring visual cuts of personal informatics data. In Proceedings of the 2014 Conference on Designing Interactive Systems (DIS’14). ACM, New York, NY, 667--676. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Daniel A. Epstein, An Ping, James Fogarty, and Sean A. Munson. 2015a. A lived informatics model of personal informatics. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’15). ACM, New York, NY, 731--742. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Daniel A. Epstein, Bradley H. Jacobson, Elizabeth Bales, David W. McDonald, and Sean A. Munson. 2015b. From “nobody cares” to “way to go!”: A design framework for social sharing in personal informatics. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work 8 Social Computing (CSCW’15). ACM, New York, NY, 1622--1636. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Rowanne Fleck and Daniel Harrison. 2015. Shared PI: Sharing personal data to support reflection and behaviour change. In Proceedings of the Workshop Papers CHI 2015 on’Beyond Personal Informatics: Designing for Experiences of Data’ (CHI’15). Seoul, South Korea.Google ScholarGoogle Scholar
  22. Sharon L. Foster, Cambra Laverty-Finch, Daniel P. Gizzo, and Janay Osantowski. 1999. Practical issues in self-observation. Psychological Assessment 11, 4 (1999), 426--438.Google ScholarGoogle ScholarCross RefCross Ref
  23. Thomas Fritz, Elaine M. Huang, Gail C. Murphy, and Thomas Zimmermann. 2014. Persuasive technology in the real world: A study of long-term use of activity sensing devices for fitness. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’14). ACM, New York, NY, 487--496. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Jim Gemmell, Gordon Bell, and Roger Lueder. 2006. MyLifeBits: A personal database for everything. Commun. ACM 49, 1 (January 2006), 88--95. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Barney G. Glaser and Anselm L. Strauss. 1967. The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine Publishing Company, Chicago, IL.Google ScholarGoogle Scholar
  26. Erving Goffman. 1959. The Presentation of Self in Everyday Life. Penguin Books Ltd., London.Google ScholarGoogle Scholar
  27. Rúben Gouveia, Evangelos Karapanos, and Marc Hassenzahl. 2015. How do we engage with activity trackers?: A longitudinal study of Habito. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’15). ACM, New York, NY, 1305--1316. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Shona L. Halson. 2014. Monitoring training load to understand fatigue in athletes. Sports Medicine 44, Supp. 2 (2014), 139--147Google ScholarGoogle ScholarCross RefCross Ref
  29. Hamilton D. 1996. Learning About Education: An Unfinished Curriculum. Open University Press, Bristol.Google ScholarGoogle Scholar
  30. Jeff Hancock, Jeremy Birnholtz, Natalya Bazarova, Jamie Guillory, Josh Perlin, and Barrett Amos. 2009. Butler lies: Awareness, deception and design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’09). ACM, New York, NY, 517--526. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. M. Heidegger. (1927/1990). Being and Time. SUNY Press, Albany.Google ScholarGoogle Scholar
  32. Eric B. Hekler, Predrag Klasnja, Jon E. Froehlich, and Matthew P. Buman. 2013. Mind the theoretical gap: Interpreting, using, and developing behavioral theory in HCI research. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’13). ACM, New York, NY, 3307--3316. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Maiken Hillerup Fogtmann, Kaj Grønbæk, and Martin Kofod Ludvigsen. 2011. Interaction technology for collective and psychomotor training in sports. In Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology (ACE’11), Teresa Romão, Nuno Correia, Masahiko Inami, Hirokasu Kato, Rui Prada, Tsutomu Terada, Eduardo Dias, and Teresa Chambel (Eds.). ACM, New York, NY, Article 13, 8 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Hsiu-Mei Huang. 2002. Toward constructivism for adult learners in online learning environments. British Journal of Educational Technology 33, 1, 27--37.Google ScholarGoogle ScholarCross RefCross Ref
  35. IDTechEx. 2014. Wearable technology 2014--2024: Technologies, Markets, Forecasts E-Textiles, Wearable Electronics, Medical Diagnostics, Smart Glasses, Smart Wristbands and More. (July 2014). Retrieved March 1, 2016 from https://www.idtechex.com/research/articles/wearable-technology-live-usa-2014-00007023.asp.Google ScholarGoogle Scholar
  36. Hiroshi Ishii, Craig Wisneski, Julian Orbanes, Ben Chun, and Joe Paradiso. 1999. PingPongPlus: Design of an athletic-tangible interface for computer-supported cooperative play. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’99). ACM, New York, 394--401. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Teena Maddox 2014. Wearables Have a Dirty Little Secret: 50% of Users Lose Interest. Tech Republic Inc. (February 2014). Retrieved March 1, 2016 from http://www.techrepublic.com/article/wearables-have-a-dirty-little-secret-most-people-lose-interest/.Google ScholarGoogle Scholar
  38. Jean Lave. 1991. Situating learning in communities of practice. In Perspectives on Socially Shared Cognition, L. Resnick, J. Levine, and S. Teasley (Eds.). American Psychological Association, Washington, D.C, 63--84.Google ScholarGoogle Scholar
  39. Leah Hunter. 2014. Are wearables over? Fast Company Inc. (April 2014). Retrieved March 1, 2016 from http://www.fastcompany.com/3028879/most-innovative-companies/are-wearables-over.Google ScholarGoogle Scholar
  40. David H. Jonassen. 1991. Objectivism versus constructivism: Do we need a new philosophical paradigm. Educational Technology Research and Development 39, 3 (1991), 5--14.Google ScholarGoogle ScholarCross RefCross Ref
  41. David H. Jonassen. 1994. Thinking technology: Toward a constructivist design model. Educational Technology 34, 4 (1994), 34--37.Google ScholarGoogle Scholar
  42. Ravi Karkar, James Fogarty, Julie A. Kientz, Sean A. Munson, Roger Vilardaga, and Jasmine Zia. 2015. Opportunities and challenges for self-experimentation in self-tracking. In Adjunct Proceedings of UbiComp/ISWC’15. ACM, New York, NY, 991--996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Matthew Kay, Dan Morris, mc schraefel, and Julie A. Kientz. 2013. There's no such thing as gaining a pound: reconsidering the bathroom scale user interface. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’13). ACM, New York, NY, 401--410. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. G. A. Kelly. 1955. The Psychology of Personal Constructs. Norton, New York, NY.Google ScholarGoogle Scholar
  45. Daniel S. Kirschenbaum, Arnold M. Ordman, Andrew J. Tomarken, and Robert Holtzbauer. 1982. Effects of differential self-monitoring and level of mastery of sports performance: Brain power bowling. Cognitive Therapy and Research 6, 3 (September 1982), 335--342.Google ScholarGoogle ScholarCross RefCross Ref
  46. William J. Korotitisch and Rosemery O. Nelson-Gray. 1999. An overview of self-monitoring research in assessment and treatment. Psychological Assessment 11, 4 (1999), 415--425.Google ScholarGoogle ScholarCross RefCross Ref
  47. Felix Kosmalla, Florian Daiber, and Antonio Krüger. 2015. ClimbSense: Automatic climbing route recognition using wrist-worn inertia measurement units. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI’15). ACM, New York, NY, 2033--2042. Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. Felix Kosmalla, Frederik Wiehr, Florian Daiber, Antonio Krüger, and Markus Löchtefeld. 2016. ClimbAware: Investigating perception and acceptance of wearables in rock climbing. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI’16). ACM, New York, NY, 1097--1108. Google ScholarGoogle ScholarDigital LibraryDigital Library
  49. David J. Kooyman, Daniel A. James, and David D. Rowlands. 2013. A feedback system for the motor learning of skills in golf. Procedia Engineering 60, 0 (2013), 226--231.Google ScholarGoogle ScholarCross RefCross Ref
  50. Audra Landers. 2001. The value of training logs. Olympic Coach 11 (2001), 6--7.Google ScholarGoogle Scholar
  51. Michael Lapinski, Eric Berkson, Thomas Gill, Mike Reinold, and Joseph A. Paradiso. 2009. A distributed wearable, wireless sensor system for evaluating professional baseball pitchers and batters. In Proceedings of the 2009 International Symposium on Wearable Computers (ISWC’09). IEEE Computer Society, Washington, DC, 131--138. Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. Amanda Lazar, Christian Koehler, Joshua Tanenbaum, and David H. Nguyen. 2015. Why we use and abandon smart devices. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’15). ACM, New York, NY, 635--646. Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. Dan Ledger and Daniel McCaffrey. 2014. Inside wearables: How the science of human behavior change offers the secret to long-term engagement. Endeavour Partners LLC 93, (2014), 36--45.Google ScholarGoogle Scholar
  54. 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). ACM, New York, NY, 557--566. Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. Ian Li, Anind K. Dey, and Jodi Forlizzi. 2011. Understanding my data, myself: Supporting self-reflection with ubicomp technologies. In Proceedings of the 13th International Conference on Ubiquitous Computing (UbiComp’11). ACM, New York, NY, 405--414. Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. Martin Ludvigsen, Maiken Hillerup Fogtmann, and Kaj Grønbæk. 2010. TacTowers: An interactive training equipment for elite athletes. In Proceedings of the 8th ACM Conference on Designing Interactive Systems (DIS’10). ACM, New York, NY, 412--415. Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. Deborah Lupton. 2012. M-health and health promotion: The digital cyborg and surveillance society. Social Theory 8 Health 10 (2012), 229--244.Google ScholarGoogle Scholar
  58. Deborah Lupton. 2013. Quantifying the body: Monitoring and measuring health in the age of mHealth technologies. Critical Public Health 23, 4 (2013), 393--403.Google ScholarGoogle ScholarCross RefCross Ref
  59. Deborah Lupton. 2014. Self-tracking cultures: Towards a sociology of personal informatics. In Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures: the Future of Design (OzCHI’14). ACM, New York, NY, 77--86. Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Steve Mann. 2004. Continuous lifelong capture of personal experience with EyeTap. In Proceedings of the the 1st ACM Workshop on Continuous Archival and Retrieval of Personal Experiences (CARPE’04). ACM, New York, NY, 1--21. Google ScholarGoogle ScholarDigital LibraryDigital Library
  61. Alessandro Marcengo and Amon Rapp. 2014. Visualization of human behavior data: The quantified self. In Innovative Approaches of Data Visualization and Visual Analytics, Mao L. Huang and Weidong Huang (Eds.). IGI Global, Hershey, PA, 236--265.Google ScholarGoogle Scholar
  62. Bryan Marshall, Peter Cardon, Amit Poddar, and Renee Fontenot. 2013. Does sample size matter in qualitative research? A review of qualitative interviews in is research. Journal of Computer Information Systems 54, 1 (2013), 11--22.Google ScholarGoogle ScholarCross RefCross Ref
  63. Humberto D. Maturana and Francisco J. Varela. 1980. Autopoiesis and Cognition: The Realization of the Living. Reidel, Dordrecht.Google ScholarGoogle Scholar
  64. Matthew Mauriello, Michael Gubbels, and Jon E. Froehlich. 2014. Social fabric fitness: The design and evaluation of wearable E-textile displays to support group running. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’14). ACM, New York, NY, 2833--2842. Google ScholarGoogle ScholarDigital LibraryDigital Library
  65. Molly Z. Mackinlay. 2013. Phases of accuracy diagnosis: (In)visibility of system status in the fitbit. Intersect: The Stanford Journal of Science, Technology and Society 6, 2 (2013), 1--9.Google ScholarGoogle Scholar
  66. Kathleen M. MacQueen, Eleanor McLellan-Lemal, Kelly Bartholow, and Bobby Milstein. 2008. Team-based codebook development: Structure, process, and agreement. In Handbook for Team-Based Qualitative Research, Greg Guest and Kathleen M. MacQueen (Eds.). AltaMira Press, Lanham, UK, 119--136.Google ScholarGoogle Scholar
  67. Maurice Merleau-Ponty. 1962. Phenomenology of Perception. Routledge 8 Kegan Paul, London, UK.Google ScholarGoogle Scholar
  68. Florian Michahelles and Bernt Schiele. 2005. Sensing and monitoring professional skiers. IEEE Pervasive Computing 4, 3 (July 2005), 40--46. Google ScholarGoogle ScholarDigital LibraryDigital Library
  69. Jere H. Mitchell, William Haskell, Peter Snell, and Steven P. Van Camp. 2005. Task Force 8: Classification of sports. Journal of the American College of Cardiology 45, 8 (2005), 1364--1367.Google ScholarGoogle ScholarCross RefCross Ref
  70. Florian’Floyd’ Mueller, Darren Edge, Frank Vetere, Martin R. Gibbs, Stefan Agamanolis, Bert Bongers, and Jennifer G. Sheridan. 2011. Designing sports: A framework for exertion games. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’11). ACM, New York, NY, 2651--2660. Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. Florian’Floyd’ Mueller and Matthew Muirhead. 2015. Jogging with a quadcopter. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI’15). ACM, New York, NY, 2023--2032. Google ScholarGoogle ScholarDigital LibraryDigital Library
  72. Dawn Nafus, Pete Denman, Lenitra Durham, Omar Florez, Lama Nachman, Saurav Sahay, Evan Savage, Sangita Sharma, Devon Strawn, and Rita H. Wouhaybi. 2016. As simple as possible but no simpler: Creating flexibility in personal informatics. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA’16). ACM, New York, NY, 1445--1452. Google ScholarGoogle ScholarDigital LibraryDigital Library
  73. Fredrik Ohlin and Carl Magnus Olsson. 2015. Beyond a utility view of personal informatics: A postphenomenological framework. In Proceedings of the UbiComp/ISWC’15 Adjunct. ACM, New York, NY, 1087--1092. Google ScholarGoogle ScholarDigital LibraryDigital Library
  74. Fredrik Ohlin and Carl Magnus Olsson. 2015. Intelligent computing in personal informatics: Key design considerations. In Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI’15). ACM, New York, NY, 263--274. Google ScholarGoogle ScholarDigital LibraryDigital Library
  75. Aisling Ann O'Kane, Yvonne Rogers, and Ann E. Blandford. 2015. Concealing or revealing mobile medical devices?: Designing for onstage and offstage presentation. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI’15). ACM, New York, 1689--1698. Google ScholarGoogle ScholarDigital LibraryDigital Library
  76. Emily J. Oliver, James Hardy, and David Markland. 2010. Identifying important practice behaviors for the development of high-level youth athletes: Exploring the perspectives of elite coaches. Psychology of Sport and Exercise 11, 6 (2010), 433--443.Google ScholarGoogle ScholarCross RefCross Ref
  77. D. N. Perkins. (1991). Technology meets constructivism: Do they make a marriage? Educational Technology 31, 5, 18--23.Google ScholarGoogle Scholar
  78. James Pierce. 2012. Undesigning technology: Considering the negation of design by design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’12). ACM, New York, NY, 957--966. Google ScholarGoogle ScholarDigital LibraryDigital Library
  79. Sebastiaan Pijnappel and Florian Mueller. 2013. 4 design themes for skateboarding. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’13). ACM, New York, NY, 1271--1274. Google ScholarGoogle ScholarDigital LibraryDigital Library
  80. Amon Rapp. 2017a. Designing interactive systems through a game lens: An ethnographic approach. Computers in Human Behavior 71, C (June 2017), 455--468. Google ScholarGoogle ScholarDigital LibraryDigital Library
  81. Amon Rapp. 2017b. Drawing inspiration from world of warcraft: Gamification design elements for behavior change technologies. Interacting with Computers 29, 5 (2017), 648--678.Google ScholarGoogle ScholarCross RefCross Ref
  82. Amon Rapp and Federica Cena. 2014. Self-monitoring and technology: Challenges and open issues in personal informatics. In Proceedings of the Universal Access in Human-Computer Interaction. Design for All and Accessibility Practice. Lecture Notes in Computer Science, Vol. 8516 (PART 4). Springer, Cham, 613--622.Google ScholarGoogle Scholar
  83. 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, (October 2016), 1--17. Google ScholarGoogle ScholarDigital LibraryDigital Library
  84. Amon Rapp, Federica Cena, Judy Kay, Bob Kummerfeld, Frank Hopfgartner, Till Plumbaum, Jakob Eg Larsen, Daniel A. Epstein, and Rúben Gouveia. 2016. New frontiers of quantified self 2: Going beyond numbers. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (UbiComp’16). ACM, New York, NY, 506--509. Google ScholarGoogle ScholarDigital LibraryDigital Library
  85. Amon Rapp, Federica Cena, Judy Kay, Bob Kummerfeld, Frank Hopfgartner, Till Plumbaum, Jakob Eg Larsen, Daniel A. Epstein, and Rúben Gouveia. 2017. New frontiers of quantified self 3: Exploring understudied categories of users. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp’17). New York: ACM, 861--864. Google ScholarGoogle ScholarDigital LibraryDigital Library
  86. Amon Rapp and Maurizio Tirassa. 2017. Know thyself: A Theory of the self for Personal Informatics. Human-Computer Interaction. Human-Computer Interaction 32 (5--6), 335--380. Google ScholarGoogle ScholarDigital LibraryDigital Library
  87. 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). ACM, New York, NY, 1163--1172. Google ScholarGoogle ScholarDigital LibraryDigital Library
  88. Richard Rubinstein and Harry Hersh. 1987. The human factor: Designing computer systems for people. In Human-Computer Interaction, R. M. Baecker and W. A. S. Buxton (Eds.). Morgan Kaufmann Publishers Inc., San Francisco, CA, 502--509. Google ScholarGoogle ScholarDigital LibraryDigital Library
  89. Minna Ruckenstein and Mika Pantzar. 2017. Beyond the Quantified Self: Thematic exploration of a dataistic paradigm. New Media 8 Society 19, 3 (2017), 401--418.Google ScholarGoogle Scholar
  90. Christine Satchell and Paul Dourish. 2009. Beyond the user: use and non-use in HCI. In Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction (OZCHI’09). ACM, New York, NY, 9--16. Google ScholarGoogle ScholarDigital LibraryDigital Library
  91. Anna E. Saw, Luana C. Main, and Paul B. Gastin. 2015a. Monitoring the athlete training response: Subjective self-reported measures trump commonly used objective measures: A systematic review. British Journal of Sports Medicine 50, 5 (2015), 1--13,Google ScholarGoogle Scholar
  92. Anna E. Saw, Luana C. Main, and Paul B. Gastin. 2015b. Monitoring athletes through self-report: Factors influencing implementation. Journal of Sports Science and Medicine 14, 1 (2015), 137--146.Google ScholarGoogle Scholar
  93. Natasha D. Schüll. 2016. Data for life: Wearable technology and the design of self-care. BioSocieties 11, 3 (2016), 317--333.Google ScholarGoogle ScholarCross RefCross Ref
  94. Segen's Medical Dictionary. 2011. Endurance Sport. (2011). Retrieved November 25, 2016 from http://medical-dictionary.thefreedictionary.com/Endurance+Sport.Google ScholarGoogle Scholar
  95. Tamar Sharon. 2017. Self-tracking for health and the quantified self: Re-articulating autonomy, solidarity, and authenticity in an age of personalized healthcare. Philosophy 8 Technology 30, 1 (2017), 93--121.Google ScholarGoogle Scholar
  96. Tamar Sharon and Dorien Zandbergen. 2017. From data fetishism to quantifying selves: Self-tracking practices and the other values of data. New Media 8 Society 19, 11 (2017), 1695--1709.Google ScholarGoogle Scholar
  97. Petr Slovák, Joris Janssen, and Geraldine Fitzpatrick. 2012. Understanding heart rate sharing: Towards unpacking physiosocial space. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’12). ACM, New York, NY, 859--868. Google ScholarGoogle ScholarDigital LibraryDigital Library
  98. Petr Slovák, Christopher Frauenberger, and Geraldine Fitzpatrick. 2017. Reflective practicum: A framework of sensitising concepts to design for transformative reflection. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’17). ACM, New York, NY, 2696--2707. Google ScholarGoogle ScholarDigital LibraryDigital Library
  99. Andy Stamm, David V. Thiel, B. Burkett, and Daniel A. James. 2011. Towards determining absolute velocity of freestyle swimming using 3-axis accelerometers. Procedia Engineering 13 (2011), 120--125.Google ScholarGoogle ScholarCross RefCross Ref
  100. Anselm L. Strauss and Juliet M. Corbin. 1990. Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative Sociology 13, 1 (1990), 3--21.Google ScholarGoogle ScholarCross RefCross Ref
  101. Mathias Sundholm, Jingyuan Cheng, Bo Zhou, Akash Sethi, and Paul Lukowicz. 2014. Smart-mat: Recognizing and counting gym exercises with low-cost resistive pressure sensing matrix. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’14). ACM, New York, NY, 373--382. Google ScholarGoogle ScholarDigital LibraryDigital Library
  102. Dag Svanæs. 2013. Interaction design for and with the lived body: Some implications of Merleau-Ponty's phenomenology. ACM Transactions on Computer-Human Interaction 20, 1 (April 2013), Article 8, 30 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  103. Christian Swann, Aidan P. Moran, and David Piggott. 2015. Defining elite athletes: Issues in the study of expert performance in sport psychology. Psychology of Sport and Exercise 16, Part 1 (2015), 3--14.Google ScholarGoogle ScholarCross RefCross Ref
  104. Kristie-Lee Taylor, Dale W. Chapman, John B. Cronin, Micheal J. Newton, and Nicholas Gill. 2012. Fatigue monitoring in high performance sport: A survey of current trends. Journal of Australian Strength and Conditioning 20, 1 (2012), 12--23.Google ScholarGoogle Scholar
  105. Tammy Toscos, Anne Faber, Shunying An, and Mona Praful Gandhi. 2006. Chick clique: Persuasive technology to motivate teenage girls to exercise. In Proceedings of the CHI’06 Extended Abstracts on Human Factors in Computing Systems (CHI EA’06). ACM, New York, NY, 1873--1878. Google ScholarGoogle ScholarDigital LibraryDigital Library
  106. Catrine Tudor-Locke and David Bassett. 2004. How many steps/day are enough? Preliminary pedometer indices for public health. Sports Medicine 34, 1(2004), 1--8.Google ScholarGoogle ScholarCross RefCross Ref
  107. Max Van Kleek, Dave Murray-Rust, Amy Guy, Kieron O'Hara, and Nigel Shadbolt. 2016. Computationally mediated pro-social deception. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI’16). ACM, New York, NY, 552--563. Google ScholarGoogle ScholarDigital LibraryDigital Library
  108. Brett Wakefield, Carman Neustaedter, and Serena Hillman. 2014. The informatics needs of amateur endurance athletic coaches. In Proceedings of the CHI’14 Extended Abstracts on Human Factors in Computing Systems (CHI EA’14). ACM, New York, NY, 2287-2292. Google ScholarGoogle ScholarDigital LibraryDigital Library
  109. Wouter Walmink, Danielle Wilde, and Florian’Floyd’ Mueller. 2014. Displaying heart rate data on a bicycle helmet to support social exertion experiences. In Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction (TEI’14). ACM, New York, NY, 97--104. Google ScholarGoogle ScholarDigital LibraryDigital Library
  110. Rayoung Yang, Eunice Shin, Mark W. Newman, and Mark S. Ackerman. 2015. When fitness trackers don't’fit’: end-user difficulties in the assessment of personal tracking device accuracy. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’15). ACM, New York, NY, 623--634. Google ScholarGoogle ScholarDigital LibraryDigital Library
  111. Bo Zhou, Harald Koerger, Markus Wirth, Constantin Zwick, Christine Martindale, Heber Cruz, Bjoern Eskofier, and Paul Lukowicz. 2016. Smart soccer shoe: Monitoring foot-ball interaction with shoe integrated textile pressure sensor matrix. In Proceedings of the 2016 ACM International Symposium on Wearable Computers (ISWC’16). ACM, New York, NY, 64--71. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Personal Informatics for Sport: Meaning, Body, and Social Relations in Amateur and Elite Athletes

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    • Published in

      cover image ACM Transactions on Computer-Human Interaction
      ACM Transactions on Computer-Human Interaction  Volume 25, Issue 3
      June 2018
      217 pages
      ISSN:1073-0516
      EISSN:1557-7325
      DOI:10.1145/3231919
      Issue’s Table of Contents

      Copyright © 2018 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      • Published: 8 June 2018
      • Accepted: 1 March 2018
      • Revised: 1 February 2018
      • Received: 1 December 2016
      Published in tochi Volume 25, Issue 3

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