Anyone Else Have This Experience: Sharing the Emotional Labor of Tracking Data About Me

by | Apr 3, 2021 | Research Publications

Author(s):

  • Megan Knittel
  • Faye Kollig
  • Abrielle Mason
  • Rick Wash

Abstract:

Self-tracking technologies, ranging from digital thermometers to wearable fitness trackers, allow users to use personal data accumulated from their everyday activities. But, to use these data, people have to make sense of how these numbers and figures are relevant to their lives in some way in order to make decisions and gain new insight. This process is impacted by people’s emotional reactions to their data. While seeking support from others can be an effective strategy for overcoming these emotional challenges, self-trackers face unique barriers in sharing their personal data. Our study investigates 1) how users seek out support online for emotional barriers elicited by their self-tracking data and 2) what self-described impact this sharing has on their self-tracking practices. To investigate these topics, we analyzed discussions in two online communities on Reddit.com centered around infertility and trying to conceive that consistently describe self-tracking experiences. We found that community members described three distinct driving emotional tensions with their self-tracking data. In seeking community input, users were focused on support for understanding and acting upon their feelings and emotions. Even when data was uncertain, frustrating, or viewed as inaccurate, comparing and learning with others benefited users through feelings of connection, control, and humor this collective sense-making provided. Additionally, we found that users taking breaks from self-tracking in whole or part appeared to support their emotional well-being and long-term motivation to track. Based on these findings, we conclude that self-tracking data has social and emotional value beyond perceived accuracy and individual treatment goals.

Documentation:

https://doi.org/10.1145/3449153

References:

  1. Manal Almalki, Kathleen Gray, and Fernando Martin Sanchez. 2015. The use of self-quantification
systems for personal health information: big data management activities
  1. and prospects. Health Information Science and Systems, Vol. 3, S1 (dec 2015), 1–11. https://doi.org/10.1186/2047-2501-3-s1-s1Google ScholarCross Ref
  2. Alexa An amazon.com Company. 2020. Competitive Analysis, Marketing Mix and Traffic,. https://www.alexa.com/siteinfo/reddit.comGoogle Scholar
  3. Ranjini Aravind, Tanja Blascheck, and Petra Isenberg. 2019. A Survey on Sleep Visualizations for Fitness Trackers. In EuroVis 2019 – Posters (Porto, Portugal), Jo ao Madeiras Pereira and Renata Georgia Raidou (Eds.). The Eurographics Association, Geneve, Switzerland. https://doi.org/10.2312/eurp.20191152Google ScholarSimon Attfield, Sukhvinder Hara, and B.L.William Wong. 2010. Sense-making in
  4. visual analytics: processes and challenges. In EuroVAST 2010: The 1st European Symposium on Visual Analytics Science and Technology. EuroVAST 2010: The 1st European Symposium on Visual Analytics Science and Technology, Bordeaux, France. http://eprints.mdx.ac.uk/6801/Google Scholar
  5. Christiane Attig and Thomas Franke. 2020. Abandonment of personal quantification: A review and empirical study investigating reasons for wearable activity tracking attrition. Computers in Human Behavior, Vol. 102 (jan 2020), 223–237. https://doi.org/10.1016/j.chb.2019.08.025Google ScholarCross Ref
  6. James R. Averill. 1980. A Constructivist View of Emotion. In Theories of Emotion,, Robert Plutchik and Henry Kellerman (Eds.). Academic Press, New York, New York, Chapter 12, 305–339. https://doi.org/10.1016/b978-0-12-558701-3.50018-1Google Scholar
  7. Amid Ayobi, Paul Marshall, Anna L. Cox, and Yunan Chen. 2017. Quantifying the body and caring for the mind: Self-tracking in multiple sclerosis. In CHI ’17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Vol. 2017-May. Association for Computing Machinery, New York, New York, USA, 6889–6901. https://doi.org/10.1145/3025453.3025869Google ScholarDigital Library
  8. Kylie Baldwin. 2019. The biomedicalisation of reproductive ageing: reproductive citizenship and the gendering of fertility risk. Health, Risk and Society, Vol. 21, 5–6 (aug 2019), 268–283. https://doi.org/10.1080/13698575.2019.1651256Google ScholarCross Ref
  9. Jakob E Bardram, Mads Frost, Károly Szántó, Maria Faurholt-Jepsen, Maj Vinberg, and Lars Vedel Kessing. 2013. Designing Mobile Health Technology for Bipolar Disorder: A Field Trial of the MONARCA System. In CHI ’13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, New York, USA, 2627–2636. https://doi.org/10.1145/2470654.2481364Google Scholar
  10. Eric P.S. Baumer. 2015. Reflective informatics: Conceptual dimensions for designing technologies of reflection. In CHI ’15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, New York, USA, 585–594. https://doi.org/10.1145/2702123.2702234Google ScholarDigital Library
  11. Eric P. S. Baumer, Shion Guha, Patrick Skeba, and Geraldine Gay. 2019. All Users Are (Not) Created Equal: Predictors Vary for Different Forms of Facebook Non/Use. Proc. ACM Hum.-Comput. Interact., Vol. 3, CSCW, Article 80 (Nov. 2019), bibinfonumpages28 pages. https://doi.org/10.1145/3359182Google ScholarDigital Library
  12. Ruth Baumgart and Lukas Wiewiorra. 2016. The Role of Self-Control in Self-Tracking, In ICIS ’16: Proceedings of the International Conference on Information Systems. ICIS 2016 Proceedings, 15. https://aisel.aisnet.org/icis2016/ISHealthcare/Presentations/23Google Scholar
  13. Roni Berger. 2015. Now I see it, now I don’t: researcher’s position and reflexivity in qualitative research. Qualitative Research, Vol. 15, 2 (April 2015), 219–234. https://doi.org/10.1177/1468794112468475 Publisher: SAGE Publications.Google Scholar
  14. Anne-Sophie Boes, Diane De Neubourg, Karen Peeraer, Carla Tomassetti, Christel Meuleman, and Thomas D’Hooghe. 2019. Unexplained infertility. In Evidence-based Obstetrics and Gynecology, Errol Norwitz, David Miller, Carolyn Zelop, and David Keefe (Eds.). John Wiley & Sons, Ltd, Hoboken, New Jersey, Chapter 14, 145–153. https://doi.org/10.1002/9781119072980Google Scholar
  15. Judee K Burgoon. 1993. Interpersonal expectations, expectancy violations, and emotional communication. Journal of Language and Social Psychology, Vol. 12, 1–2 (1993), 30–48.Google ScholarCross Ref
  16. Eva Marie Castro, Tine Van Regenmortel, Walter Sermeus, and Kris Vanhaecht. 2019. Patients’ experiential knowledge and expertise in health care: A hybrid concept analysis. Social Theory and Health, Vol. 17, 3 (sep 2019), 307–330. https://doi.org/10.1057/s41285-018-0081-6Google ScholarCross Ref
  17. Federica Cena, Amon Rapp, Ilaria Lombardi, and Federico Sarzotti. 2014. Self-monitoring of Emotions: a Novel Personal Informatics Solution for an Enhanced Self-Reporting. In EMPIRE 2014: Emotions and Personality in Personalized Services (Workshop at UMAP 2014: the 22nd Conference on User Modeling, Adaptation, and Personalization). Association for Computing Machinery, New York, New York, USA, 1051–1056. https://www.researchgate.net/publication/264521640Google Scholar
  18. Eshwar Chandrasekharan, Mattia Samory, Shagun Jhaver, Hunter Charvat, Amy Bruckman, Cliff Lampe, Jacob Eisenstein, and Eric Gilbert. 2018. The Internet’s hidden rules: An empirical study of Reddit norm violations at micro, meso, and macro scales. Proceedings of the ACM on Human-Computer Interaction, Vol. 2, CSCW (November 2018), 1–25. https://doi.org/10.1145/3274301Google ScholarDigital Library
  19. Deena J. Chisolm. 2010. Does online health information seeking act like a health behavior?: A test of the behavioral model. Telemedicine and e-Health, Vol. 16, 2 (March 2010), 154–160. https://doi.org/10.1089/tmj.2009.0102Google ScholarCross Ref
  20. Eun Kyoung Choe, Bongshin Lee, Haining Zhu, and Nathalie Henry Riche. 2017. Understanding self-reflection: How people reflect on personal data through visual data exploration. In Pervasive Health ’17: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. Association for Computing Machinery, New York, New York, USA, 173–182. https://doi.org/10.1145/3154862.3154881Google ScholarDigital Library
  21. Katherine Y. Chuang and Christopher C. Yang. 2010. Helping you to help me: Exploring supportive interaction in online health community. ASIST ’10: Proceedings of the American Society for Information Science and Technology, Vol. 47, 1 (November 2010), 1–10. https://doi.org/10.1002/meet.14504701140Google Scholar
  22. Chia Fang Chung, Elena Agapie, Jessica Schroeder, Sonali Mishra, James Fogarty, and Sean A. Munson. 2017. When personal tracking becomes social: Examining the use of instagram for healthy eating. In CHI ’17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, New York, USA, 1674–1687. https://doi.org/10.1145/3025453.3025747Google Scholar
  23. Andy Clark. 2007. Curing Cognitive Hiccups: A Defense of the Extended Mind. The Journal of Philosophy, Vol. 104, 4 (May 2007), 163–192. http://www.jstor.org/stable/20620012Google ScholarCross Ref
  24. Shelley L. Craig and Lauren McInroy. 2014. You Can Form a Part of Yourself Online: The Influence of New Media on Identity Development and Coming Out for LGBTQ Youth. Journal of Gay and Lesbian Mental Health, Vol. 18, 1 (2014), 95–109. https://doi.org/10.1080/19359705.2013.777007Google ScholarCross Ref
  25. Brenda Dervin and CarrieLynn Reinhard. 2007. How Emotional Dimensions of Situated Information Seeking Relate to User Evaluations of Help from Sources: An Exemplar Study Informed by Sense-Making Study. In Information and Emotion: The Emergent Affective Paradigm in Information Behavior Research and Theory,, Diane Nahl and Dania Bilal (Eds.). American Society for Information Science and Technology, Medford, New Jersey, 51–84.Google Scholar
  26. Keith M. Diaz, David J. Krupka, Melinda J. Chang, James Peacock, Yao Ma, Jeff Goldsmith, Joseph E. Schwartz, and Karina W. Davidson. 2015. Fitbit®: An accurate and reliable device for wireless physical activity tracking. International Journal of Cardiology, Vol. 185 (April 2015), 138–140. https://doi.org/10.1016/j.ijcard.2015.03.038Google Scholar
  27. Marguerite Duane, Alison Contreras, Elizabeth T. Jensen, and Amina White. 2016. The Performance of Fertility Awareness-based Method Apps Marketed to Avoid Pregnancy. Journal of the American Board of Family Medicine: JABFM, Vol. 29, 4 (Aug. 2016), 508–511. https://doi.org/10.3122/jabfm.2016.04.160022Google ScholarCross Ref
  28. Chris Elsden, David S. Kirk, and Abigail C. Durrant. 2016. A Quantified Past: Toward Design for Remembering With Personal Informatics. Human-Computer Interaction, Vol. 31, 6 (November 2016), 518–557. https://doi.org/10.1080/07370024.2015.1093422Google ScholarDigital Library
  29. Daniel A. Epstein, Nicole B. Lee, Jennifer H. Kang, Elena Agapie, Jessica Schroeder, Laura R. Pina, James Fogarty, Julie A. Kientz, and Sean A. Munson. 2017. Examining menstrual tracking to inform the design of personal informatics tools. In CHI ’17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Vol. 2017-May. Association for Computing Machinery, New York, New York, USA, 6876–6888. https://doi.org/10.1145/3025453.3025635Google Scholar
  30. Daniel A. Epstein, An Ping, James Fogarty, and Sean A. Munson. 2015. A lived informatics model of personal informatics. In UbiComp ’15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, New York, New York, USA, 731–742. https://doi.org/10.1145/2750858.2804250Google Scholar
  31. Sergio Felipe, Aneesha Singh, Caroline Bradley, Amanda CdeC Williams, and Nadia Bianchi-Berthouze. 2015. Roles for Personal Informatics in Chronic Pain. In Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare (Istanbul, Turkey) (PervasiveHealth ’15). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), Brussels, BEL, 161–168.Google ScholarDigital Library
  32. Casey Fiesler and Nicholas Proferes. 2018. “Participant” Perceptions of Twitter Research Ethics. Social Media+Society, Vol. 4, 1 (January 2018), 205630511876336. https://doi.org/10.1177/2056305118763366Google Scholar
  33. Mayara Costa Figueiredo, Clara Caldeira, Elizabeth Eikey, Melissa Mazmanian, and Yunan Chen. 2018. Engaging with health data: The interplay between self-tracking activities and emotions in fertility struggles. Proceedings of the ACM on Human-Computer Interaction, Vol. 2, CSCW (November 2018), 1–20. https://doi.org/10.1145/3274309Google ScholarDigital Library
  34. Mayara Costa Figueiredo, Clara Caldeira, Tera L. Reynolds, Sean Victory, Kai Zheng, and Yunan Chen. 2017. Self-tracking for fertility care: Collaborative support for a highly-personalized problem. Proceedings of the ACM on Human-Computer Interaction, Vol. 1, CSCW (nov 2017), 1–21. https://doi.org/10.1145/3134671Google ScholarDigital Library
  35. Susan Folkman. 2010. Stress, coping, and hope. Psycho-Oncology: Journal of the Psychological, Social, and Behavioral Dimensions of Cancer, Vol. 19, 9 (August 2010), 901–908. https://doi.org/10.1002/pon.1836Google Scholar
  36. Drew Foster. 2016. `Keep complaining til someone listens’: Exchanges of tacit healthcare knowledge in online illness communities. Social Science and Medicine, Vol. 166 (October 2016), 25–32. https://doi.org/10.1016/j.socscimed.2016.08.007Google ScholarCross Ref
  37. Alexander Freis, Tanja Freundl-Schütt, Lisa-Maria Wallwiener, Sigfried Baur, Thomas Strowitzki, Günter Freundl, and Petra Frank-Herrmann. 2018. Plausibility of Menstrual Cycle Apps Claiming to Support Conception. Frontiers in Public Health, Vol. 6 (2018), 1–9. https://doi.org/10.3389/fpubh.2018.00098 Publisher: Frontiers.Google Scholar
  38. Theresa M Glomb and Michael J Tews. 2004. Emotional labor: A conceptualization and scale development. Journal of Vocational Behavior, Vol. 64, 1 (February 2004), 1–23. https://doi.org/10.1016/S0001-8791(03)00038-1Google ScholarCross Ref
  39. Juho Hamari, Lobna Hassan, and Antonio Dias. 2018. Gamification, quantified-self or social networking? Matching users’ goals with motivational technology. User Modeling and User-Adapted Interaction, Vol. 28, 1 (mar 2018), 35–74. https://doi.org/10.1007/s11257-018-9200-2Google ScholarDigital Library
  40. Emmma Hutchinson. 2014. Researching Forums in Online Ethnography: Practice and Ethics. In Big Data? Qualitative Approaches to Digital Research. Studies in Qualitative Methodology, Vol. 13. Emerald Group Publishing Limited, Bingley, United Kingdom, 91–112. https://doi.org/10.1108/S1042–319220140000013007Google Scholar
  41. Mohammad Hossein Jarrahi, Nicci Gafinowitz, and Grace Shin. 2018. Activity trackers, prior motivation, and perceived informational and motivational affordances. Personal and Ubiquitous Computing, Vol. 22, 2 (April 2018), 433–448. https://doi.org/10.1007/s00779-017-1099-9Google ScholarDigital Library
  42. Shagun Jhaver, Amy Bruckman, and Eric Gilbert. 2019. Does transparency in moderation really matter?: User behavior after content removal explanations on reddit. Proceedings of the ACM on Human-Computer Interaction, Vol. 3, CSCW (nov 2019), 1–27. https://doi.org/10.1145/3359252Google ScholarDigital Library
  43. Ulrika Josefsson. 2005. Coping with Illness Online: The Case of Patients’Online Communities. The Information Society, Vol. 21, 2 (April 2005), 133–141. https://doi.org/10.1080/01972240590925357Google ScholarCross Ref
  44. Kazi Sinthia Kabir, Erin L. Van Blarigan, June M. Chan, Stacey A. Kenfield, and Jason Wiese. 2019. “I’m done with cancer. What Am I trying to improve?”: Understanding the perspective of prostate cancer patients to support multiple health behavior change. In PervasiveHealth’19: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare. Association for Computing Machinery, New York, NY, USA, 81–90. https://doi.org/10.1145/3329189.3329207Google ScholarDigital Library
  45. Ruogu Kang, Stephanie Brown, and Sara Kiesler. 2013. Why do people seek anonymity on the Internet? Informing policy and design. In CHI ’13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM Press, New York, New York, USA, 2657–2666. https://doi.org/10.1145/2470654.2481368Google ScholarDigital Library
  46. Elizabeth Kaziunas, Mark S Ackerman, Silvia Lindtner, and Joyce M Lee. 2017. Caring through Data: Attending to the Social and Emotional Experiences of Health Datafication. CSCW ’17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (February 2017), 2260–2272 https://doi.org/10.1145/2998181.2998303Google ScholarDigital Library
  47. Christina Kelley, Bongshin Lee, and Lauren Wilcox. 2017. Self-tracking for mental wellness: Understanding expert perspectives and student experiences. In CHI ’17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 629–641. https://doi.org/10.1145/3025453.3025750Google ScholarDigital Library
  48. Helen Kennedy and Rosemary Lucy Hill. 2018. The Feeling of Numbers: Emotions in Everyday Engagements with Data and Their Visualisation. Sociology, Vol. 52, 4 (August 2018), 830–848. https://doi.org/10.1177/0038038516674675Google ScholarCross Ref
  49. Elisabeth T. Kersten-van Dijk, Joyce H.D.M. Westerink, Femke Beute, and Wijnand A. IJsselsteijn. 2017. Personal Informatics, Self-Insight, and Behavior Change: A Critical Review of Current Literature. Human-Computer Interaction, Vol. 32, 5–6 (nov 2017), 268–296. https://doi.org/10.1080/07370024.2016.1276456Google Scholar
  50. Reija Klemetti, Jani Raitanen, Sinikka Sihvo, Samuli Saarni, and Päivikki Koponen. 2010. Infertility, mental disorders and well-being — a nationwide survey. Acta Obstetricia et Gynecologica Scandinavica, Vol. 89, 5 (May 2010), 677–682. https://doi.org/10.3109/00016341003623746Google ScholarCross Ref
  51. Mihan Lee. 2017. Don’t Give Up! A Cyber-ethnography and Discourse Analysis of an Online Infertility Patient Forum. Culture, Medicine and Psychiatry, Vol. 41, 3 (September 2017), 341–367. https://doi.org/10.1007/s11013-016-9515-6Google ScholarCross Ref
  52. Ian Li, Anind Dey, and Jodi Forlizzi. 2010. A Stage-Based Model of Personal Informatics Systems. In CHI ’10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA) (CHI ’10). Association for Computing Machinery, New York, NY, USA, 557–566. https://doi.org/10.1145/1753326.1753409Google ScholarDigital Library
  53. Jacqueline Low. 2019. A Pragmatic Definition of the Concept of Theoretical Saturation. Sociological Focus, Vol. 52, 2 (April 2019), 131–139. https://doi.org/10.1080/00380237.2018.1544514Google ScholarCross Ref
  54. Deborah Lupton. 2016. You are your data: Self-tracking practices and concepts of data. In Lifelogging: Digital Self-Tracking and Lifelogging – between Disruptive Technology and Cultural Transformation,, Stefan Selke (Ed.). Springer, Wiesbaden, Germany, 61–79. https://doi.org/10.1007/978-3-658-13137-1_4Google Scholar
  55. Kateryna Maltseva and Christoph Lutz. 2018. A quantum of self: A study of self-quantification and self-disclosure. Computers in Human Behavior, Vol. 81 (April 2018), 102–114. https://doi.org/10.1016/j.chb.2017.12.006Google ScholarCross Ref
  56. Lena Mamykina, Andrew D. Miller, Elizabeth D. Mynatt, and Daniel Greenblatt. 2010. Constructing identities through storytelling in diabetes management. In CHI ’10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Vol. 2. ACM Press, New York, New York, USA, 1203–1212. https://doi.org/10.1145/1753326.1753507Google ScholarDigital Library
  57. Lena Mamykina, Elizabeth D. Mynatt, Patricia R. Davidson, and Daniel Greenblatt. 2008. MAHI: Investigation of social scaffolding for reflective thinking in diabetes management. In Conference on Human Factors in Computing Systems – Proceedings. ACM Press, New York, New York, USA, 477–486. https://doi.org/10.1145/1357054.1357131Google ScholarDigital Library
  58. Lena Mamykina, Drashko Nakikj, and Noemie Elhadad. 2015. Collective sensemaking in online health forums. In CHI ’15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, New York, USA, 3217–3226. https://doi.org/10.1145/2702123.2702566Google ScholarDigital Library
  59. Maya N. Mascarenhas, Seth R. Flaxman, Ties Boerma, Sheryl Vanderpoel, and Gretchen A. Stevens. 2012. National, Regional, and Global Trends in Infertility Prevalence Since 1990: A Systematic Analysis of 277 Health Surveys. PLoS Medicine, Vol. 9, 12 (December 2012), e1001356. https://doi.org/10.1371/journal.pmed.1001356Google ScholarCross Ref
  60. John McCarthy and Peter Wright. 2004. Technology as experience. MIT Press, Cambridge, MA, USA. 211 pages.Google ScholarDigital Library
  61. Mollie McKillop, Lena Mamykina, and Noé mie Elhadad. 2018. Designing in the dark: Eliciting self-tracking dimensions for understanding enigmatic disease. In CHI ’18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, New York, USA, 1–15. https://doi.org/10.1145/3173574.3174139Google ScholarDigital Library
  62. Jingbo Meng, Wei Peng, Soo Yun Shin, and Minwoong Chung. 2017. Online Self-Tracking Groups to Increase Fruit and Vegetable Intake: A Small-Scale Study on Mechanisms of Group Effect on Behavior Change. Journal of Medical Internet Research, Vol. 19, 3 (March 2017), e63. https://doi.org/10.2196/jmir.6537Google ScholarCross Ref
  63. Helena M. Mentis, Anita Komlodi, Katrina Schrader, Michael Phipps, Ann Gruber-Baldini, Karen Yarbrough, and Lisa Shulman. 2017. Crafting a view of self-tracking data in the clinical visit. In CHI ’17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, New York, USA, 5800–5812. https://doi.org/10.1145/3025453.3025589Google ScholarDigital Library
  64. Paula M Niedenthal, Silvia Krauth-Gruber, and Francc ois Ric. 2006. Psychology of emotion: Interpersonal, experiential, and cognitive approaches. Psychology Press, New York, NY, US. xi, 417–xi, 417 pages.Google Scholar
  65. Anthony J. Onwuegbuzie and Nancy L. Leech. 2007. Validity and qualitative research: An oxymoron? Quality and Quantity, Vol. 41, 2 (April 2007), 233–249. https://doi.org/10.1007/s11135-006-9000-3Google ScholarCross Ref
  66. Kerry O’Regan. 2003. Emotion and E-learning. Online Learning, Vol. 7, 3 (September 2003), 78–92. https://doi.org/10.24059/olj.v7i3.1847Google Scholar
  67. Vadim Osadchiy, Jesse Nelson Mills, and Sriram Venkata Eleswarapu. 2020. Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community. J Med Internet Res, Vol. 22, 3 (10 Mar 2020), e16728. https://doi.org/10.2196/16728Google ScholarCross Ref
  68. Kirsten Ostherr, Svetlana Borodina, Rachel Conrad Bracken, Charles Lotterman, Eliot Storer, and Brandon Williams. 2017. Trust and privacy in the context of user-generated health data. Big Data & Society, Vol. 4, 1 (June 2017), 205395171770467. https://doi.org/10.1177/2053951717704673Google ScholarCross Ref
  69. Dilisha Patel, Ann Blandford, Mark Warner, Jill Shawe, and Judith Stephenson. 2019. “I feel like only half a man”: Online forums as a resource for finding a “new normal” for men experiencing fertility issues. Proceedings of the ACM on Human-Computer Interaction, Vol. 3, CSCW (November 2019), 1–20. https://doi.org/10.1145/3359184Google ScholarDigital Library
  70. Pew Research Center. 2013. Tracking for Health. https://www.pewresearch.org/internet/2013/01/28/tracking-for-health/Google Scholar
  71. Afarin Pirzadeh, Li He, and Erik Stolterman. 2013. Personal Informatics and Reflection: A Critical Examination of the Nature of Reflection. In CHI ’13 Extended Abstracts on Human Factors in Computing Systems (Paris, France) (CHI EA ’13). Association for Computing Machinery, New York, NY, USA, 1979–1988. https://doi.org/10.1145/2468356.2468715Google Scholar
  72. Robert Plutchik. 1980. A General Psychoevolutionary Theory of Emotion. In Theories of Emotion,, Robert Plutchik and Henry Kellerman (Eds.). Academic Press, Hoboken, New Jersey, USA, 3–33. https://doi.org/10.1016/B978-0-12-558701-3.50007-7Google Scholar
  73. Amon Rapp and Lia Tirabeni. 2018. Personal Informatics for Sport: Meaning, Body, and Social Relations in Amateur and Elite Athletes. ACM Transactions on Computer-Human Interaction, Vol. 25, 3 (June 2018), 16. https://doi.org/10.1145/3196829Google ScholarDigital Library
  74. Maria Teresa Riviello, Vincenzo Capuano, Gianluigi Ombrato, Ivana Baldassarre, Gennaro Cordasco, and Anna Esposito. 2014. The Influence of Positive and Negative Emotions on Physiological Responses and Memory Task Scores. In Recent Advances of Neural Network Models and Applications, Simone Bassis, Anna Esposito, and Francesco Carlo Morabito (Eds.). Springer International Publishing, Cham, 315–323.Google Scholar
  75. Kevin Roy, Anisa Zvonkovic, Abbie Goldberg, Elizabeth Sharp, and Ralph LaRossa. 2015. Sampling Richness and Qualitative Integrity: Challenges for Research With Families. Journal of Marriage and Family, Vol. 77, 1 (January 2015), 243–260. https://doi.org/10.1111/jomf.12147Google ScholarCross Ref
  76. Hanna Schneider, Julia Wayrauther, Mariam Hassib, and Andreas Butz. 2019. Communicating Uncertainty in Fertility Prognosis. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–11. https://doi.org/10.1145/3290605.3300391Google ScholarDigital Library
  77. Nicolas Schrading, Cecilia Ovesdotter Alm, Ray Ptucha, and Christopher Homan. 2015. An Analysis of Domestic Abuse Discourse on Reddit. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, Lisbon, Portugal, 2577–2583. https://doi.org/10.18653/v1/D15-1309Google ScholarCross Ref
  78. Ratika Sharma, Britta Wigginton, Carla Meurk, Pauline Ford, and Coral E Gartner. 2016. Motivations and Limitations Associated with Vaping among People with Mental Illness: A Qualitative Analysis of Reddit Discussions. International journal of environmental research and public health, Vol. 14, 1 (Dec. 2016), 7. https://doi.org/10.3390/ijerph14010007 Publisher: MDPI.Google ScholarCross Ref
  79. Dong Hee Shin and Frank Biocca. 2017. Health experience model of personal informatics: The case of a quantified self. Computers in Human Behavior, Vol. 69 (apr 2017), 62–74. https://doi.org/10.1016/j.chb.2016.12.019Google ScholarDigital Library
  80. Kathleen S. Slauson-Blevins, Julia McQuillan, and Arthur L. Greil. 2013. Online and in-person health-seeking for infertility. Social Science and Medicine, Vol. 99 (December 2013), 110–115. https://doi.org/10.1016/j.socscimed.2013.10.019Google Scholar
  81. Evan Thompson and Mog Stapleton. 2009. Making sense of sense-making: Reflections on enactive and extended mind theories. Topoi, Vol. 28, 1 (March 2009), 23–30. https://doi.org/10.1007/s11245-008-9043-2Google ScholarCross Ref
  82. Stefan Timmermans and Iddo Tavory. 2012. Theory Construction in Qualitative Research. Sociological Theory, Vol. 30, 3 (September 2012), 167–186. https://doi.org/10.1177/0735275112457914Google ScholarCross Ref
  83. Virpi Timonen, Geraldine Foley, and Catherine Conlon. 2018. Challenges When Using Grounded Theory. International Journal of Qualitative Methods, Vol. 17, 1 (December 2018), 1–10. https://doi.org/10.1177/1609406918758086Google ScholarCross Ref
  84. Kelton Tremellen and Julian Savulescu. 2014. Ovarian reserve screening: a scientific and ethical analysis. Human Reproduction, Vol. 29, 12 (December 2014), 2606–2614. https://doi.org/10.1093/humrep/deu265Google ScholarCross Ref
  85. Lewen Wei and Jin Kang. 2019. Employing Emotion Regulation Strategies in Tracking Personal Fitness Progress. International Journal of Human-Computer Interaction, Vol. 35, 12 (July 2019), 1115–1124. https://doi.org/10.1080/10447318.2018.1511024Google ScholarCross Ref
  86. Karl E. Weick, Kathleen M. Sutcliffe, and David Obstfeld. 2005. Organizing and the Process of Sensemaking. Organization Science, Vol. 16, 4 (July 2005), 409–421. https://doi.org/10.1287/orsc.1050.0133Google ScholarDigital Library
  87. Jennifer L. Welbourne, Anita L. Blanchard, and Marla D. Boughton. 2009. Supportive communication, sense of virtual community and health outcomes in online infertility groups. In C&T ’09: Proceedings of the Fourth International Conference on Communities and Technologies. Association for Computing Machinery (ACM), New York, New York, USA, 31–40. https://doi.org/10.1145/1556460.1556466Google Scholar
  88. Linda M Whiteford and Lois Gonzalez. 1995. Stigma: The hidden burden of infertility. Social Science and Medicine, Vol. 40, 1 (January 1995), 27–36. https://doi.org/10.1016/0277-9536(94)00124-CGoogle ScholarCross Ref
  89. Qinge Wu, Kelli Sum, and Dan Nathan-Roberts. 2016. How Fitness Trackers Facilitate Health Behavior Change, In Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 60, 1, 1068–1072. https://doi.org/10.1177/1541931213601247Google ScholarCross Ref
  90. 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 UbiComp ’15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, New York, New York, USA, 623–634. https://doi.org/10.1145/2750858.2804269Google Scholar
  91. Alyson L. Young and Andrew D. Miller. 2019. “This girl is on fire”: Sensemaking in an online health community for vulvodynia. In CHI ’19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, New York, USA, 1–13. https://doi.org/10.1145/3290605.3300359Google Scholar
  92. Fernando Zegers-Hochschild, G David Adamson, Silke Dyer, Catherine Racowsky, Jacques De Mouzon, Rebecca Sokol, Laura Rienzi, Arne Sunde, Lone Schmidt, Ian D Cooke, Joe Leigh Simpson, and Sheryl Van Der Poel. 2017. The International Glossary on Infertility and Fertility Care, 2017 ? ? S. Human Reproduction, Vol. 32, 9 (September 2017), 1786–1801. https://doi.org/10.1093/humrep/dex234Google Scholar
  93. Jing Zhao, Kathleen Abrahamson, James G. Anderson, Sejin Ha, and Richard Widdows. 2013. Trust, empathy, social identity, and contribution of knowledge within patient online communities. Behaviour & Information Technology, Vol. 32, 10 (October 2013), 1041–1048. https://doi.org/10.1080/0144929X.2013.819529Google ScholarDigital Library