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Explicating Personal Health Informatics Experience

퍼스널 헬스케어 디바이스 사용자 경험 연구

  • 신동희 (중앙대학교 미디어커뮤니케이션) ;
  • 조호연 (카타르컴퓨팅리서치센터)
  • Received : 2016.10.17
  • Accepted : 2017.01.03
  • Published : 2017.01.28

Abstract

Recent advances in wearable devices and quantified-self movement increase the number of personal informatics application that may cause an concern to health industry and user. In this light, the goal of this study is to identify more effective ways of design and evaluation of personal informatics application for self-tracking and delivering health information to users. For this goal, this study conducted areal-world study that processes such that user can assess, be aware of, and self-reflect on their data and behavior activity. In doing so, this study aims to determine the psychological effects of forms of health feedback (comparative vs. non-comparative) and presentation modes (text vs. image) on users' tendencies toward health conservation. Results from a between-subjects experiment revealed that health information in a comparative and textual format was more effective in encouraging health conservation in participants than identical information presented in a non-comparative and image format. In addition, participants' level of health consciousness emerged as a significant predictor. Through this analysis of quantitative data and inferences, this study make a number of contributions to the user affordance research and its methodology of health informatics study and designing personal informatics application that support user's behavior change in various contexts.

Keywords

Personal Informatics;Quantified Self;Wearable;Health Behavior & Experience;Feedback Type

References

  1. G. D. Abowd and E. D. Mynatt, "Charting past, present, and future research in ubiquitous computing," ACM Transactions on Computer- Human Interaction (TOCHI), Vol.7, No.1, pp.29-58, 2000. https://doi.org/10.1145/344949.344988
  2. J. Anderson and L. Rainie, "Gamification and the internet: experts expect game layers to expand in the future, with positive and negative results," Games for Health: Research, Development, and Clinical Applications, Vol.1, No.4, pp.299-302, 2012.
  3. G. Button and W. Sharrock, "Project work: the organization of collaborative design and development in software engineering," Computer Supported Cooperative Work (CSCW), Vol.5, No.4, pp.369-386, 1996. https://doi.org/10.1007/BF00136711
  4. C. S. Carver and M. F. Scheier, "Control theory: A useful conceptual framework for personality -social, clinical, and health psychology," Psychological Bulletin, Vol.92, No.1, p.111, 1982. https://doi.org/10.1037/0033-2909.92.1.111
  5. H. Cho, H. Yoon, K. J. Kim, and D. H. Shin, "Wearable Health Information: Effects of Comparative Feedback and Presentation Mode," In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, ACM. Deterding, pp.2073-2078, 2015(4).
  6. E. K. Choe, Designing Self-Monitoring Technology to Promote Data Capture and Reflection, Doctoral dissertation, 2014.
  7. E. K. Choe, J. Jung, B. Lee, and K. Fisher, "Nudging people away from privacy-invasive mobile apps through visual framing," In Human-Computer Interaction-INTERACT 2013, Springer Berlin Heidelberg, pp.74-91, 2013.
  8. E. K. Choe, B. Lee, S. Munson, W. Pratt, and J. A. Kientz, "Persuasive performance feedback: The effect of framing on self-efficacy," In AMIA Annual Symposium Proceedings, American Medical Informatics Association, Vol.2013, p.825, 2013.
  9. E. K. Choe, N. B. Lee, B. Lee, W. Pratt, and J. A. Kientz, "Understanding quantified-selfers' practices in collecting and exploring personal data," In Proceedings of the 32nd annual ACM Conference on Human Factors in Computing Systems, ACM, pp.1143-1152, 2014(4).
  10. S. Consolvo, K. Everitt, I. Smith, and J. A. Landay, "Design requirements for technologies that encourage physical activity," In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp.457-466, 2006(4).
  11. S. Consolvo, D. W. McDonald, and J. A. Landay, "Theory-driven design strategies for technologies that support behavior change in everyday life," In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp.405-414, 2009(4).
  12. S. Consolvo, D. W. McDonald, T. Toscos, M. Y. Chen, J. Froehlich, B. Harrison, and J. A. Landay, "Activity sensing in the wild: a field trial of ubifit garden," In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp.1797-1806, 2008(4).
  13. F. D. Davis, "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS Quarterly, Vol.13, No.3, pp.319-340, 1989. https://doi.org/10.2307/249008
  14. S. Deterding, D. Dixon, R. Khaled, and L. Nacke, "From game design elements to gamefulness: defining gamification," In Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments, ACM, pp.9-15, 2011(9).
  15. C. C. DiClemente, A. S. Marinilli, M. Singh, and L. E. Bellino, "The role of feedback in the process of health behavior change," American Journal of Health Behavior, Vol.25, No.3, pp.217-227, 2001. https://doi.org/10.5993/AJHB.25.3.8
  16. M. R. Endsley, The role of situation awareness in naturalistic decision making, 1997.
  17. L. Festinger, "A theory of social comparison processes," Human relations, Vol.7, No.2, pp.117-140, 1954. https://doi.org/10.1177/001872675400700202
  18. S. Fox and M. Duggan, Health online 2013, 2013.
  19. L. Fleming and D. M. Waguespack, "Brokerage, boundary spanning, and leadership in open innovation communities," Organization Science, Vol.18, No.2, pp.165-180, 2007. https://doi.org/10.1287/orsc.1060.0242
  20. J. Froehlich, T. Dillahunt, P. Klasnja, and J. Mankoff, "UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits," In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp.1043-1052, 2009(4).
  21. H. Haddadi, R. Mortier, D. McAuley, and J. Crowcroft, Human-data interaction, University of Cambridge, 2013.
  22. H. A. He, S. Greenberg, and E. M. Huang, "One size does not fit all: applying the transtheoretical model to energy feedback technology design," In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp.927-936, 2010(4).
  23. E. B. Hekler, P. Klasnja, J. E. Froehlich, and M. P. Buman, "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, ACM, pp.3307-3316, 2013(4).
  24. H. Hong, "Scale development for measuring health consciousness: Re-conceptualization. In 12th Annual International Public Relations Research Conference," Holiday Inn University of Miami Coral Gables, Florida, 2009(3).
  25. K. J. Kim and S. S. Sundar, "Mobile persuasion: Can screen size and presentation mode make a difference to trust?," Human Communication Research, 2015.
  26. K. J. Kim, S. S. Sundar, and E. Park, "The effects of screen-size and communication modality on psychology of mobile device users," In CHI'11 Extended Abstracts on Human Factors in Computing Systems, ACM, pp.1207-1212, 2011(5).
  27. Y. Kim and S. S. Sundar, "Visualizing ideal self vs. actual self through avatars: Impact on preventive health outcomes," Computers in Human Behavior, Vol.28, No.4, p.1356-1364, 2012. https://doi.org/10.1016/j.chb.2012.02.021
  28. P. Klasnja, S. Consolvo, and W. Pratt, "How to evaluate technologies for health behavior change in HCI research," In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp.3063-3072, 2011(5).
  29. J. Kopp, "Self-monitoring: A literature review of research and practice," In Social Work Research and Abstracts, Oxford University Press, Vol.24, No.4, pp.8-20, 1988(12). https://doi.org/10.1093/swra/24.4.8
  30. I. Li, A. K. Dey, and J. Forlizzi, "Understanding my data, myself: supporting self-reflection with ubicomp technologies," In Proceedings of the 13th international conference on Ubiquitous computing, ACM, pp.405-414, 2011(9).
  31. I. Li, A. Dey, and J. Forlizzi, "A stage-based model of personal informatics systems," In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp.557-566, 2010(4).
  32. I. Li, J. Froehlich, J. E. Larsen, C. Grevet, and E. Ramirez, "Personal informatics in the wild: hacking habits for health & happiness," In CHI'13 Extended Abstracts on Human Factors in Computing Systems, ACM, pp.3179-3182, 2013(4).
  33. T. Miller and J. Stasko, "Artistically conveying peripheral information with the InfoCanvas," In Proceedings of the Working Conference on Advanced Visual Interfaces, ACM, pp.43-50, 2002(5).
  34. R. O. Nelson and S. C. Hayes, "Theoretical explanations for reactivity in self-monitoring," Behavior Modification, Vol.5, No.1, pp.3-14, 1981. https://doi.org/10.1177/014544558151001
  35. S. T. Peesapati, V. Schwanda, J. Schultz, M. Lepage, S. Y. Jeong, and D. Cosley, "Pensieve: supporting everyday reminiscence," In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp.2027-2036, 2010(4).
  36. P. Petkov, F. Köbler, M. Foth, and H. Krcmar, "Motivating domestic energy conservation through comparative, community-based feedback in mobile and social media," In Proceedings of the 5th International Conference on Communities and Technologies, ACM, pp.21-30, 2011(6).
  37. A. Pirzadeh, L. He, and E. Stolterman, "Personal informatics and reflection: a critical examination of the nature of reflection," In CHI'13 Extended Abstracts on Human Factors in Computing Systems, ACM, pp.1979-1988, 2013(4).
  38. D. Preuveneers and Y. Berbers, "Mobile phones assisting with health self-care: a diabetes case study," In Proceedings of the 10th International Conference on Human Computer Interaction with Mobile Devices and Services, ACM, pp.177-186, 2008(9).
  39. J. O. Prochaska and W. F. Velicer, "The transtheoretical model of health behavior change," American Journal of Health Promotion, Vol.12, No.1, pp.38-48, 1997. https://doi.org/10.4278/0890-1171-12.1.38
  40. T. Rahman, A. T. Adams, M. Zhang, E. Cherry, B. Zhou, H. Peng, and T. Choudhury, "Bodybeat: A mobile system for sensing non-speech body sounds," In Proceedings of The 12th Annual International Conference On Mobile Systems, Applications, and Services, ACM, pp.2-13, 2014(6).
  41. J. Rooksby, M. Rost, A. Morrison, and M. C. Chalmers, "Personal tracking as lived informatics," In Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, ACM, pp.1163-1172, 2014(4).
  42. S. Schwartz, "Value priorities and behavior: Applying," In The psychology of values: The Ontario symposium, Psychology Press, Vol.8, 2013(5).
  43. S. H. Schwartz and W. Bilsky, "Toward a theory of the universal content and structure of values: Extensions and cross-cultural replications," Journal of Personality and Social Psychology, Vol.58, No.5, p.878, 1990. https://doi.org/10.1037/0022-3514.58.5.878
  44. C. Seligman and J. M. Darley, "Feedback as a means of decreasing residential energy consumption," Journal of Applied Psychology, Vol.62, No.4, p.363, 1977. https://doi.org/10.1037/0021-9010.62.4.363
  45. A. J. Sellen, "Speech patterns in videomediated conversations," In Proceedings of The SIGCHI Conference on Human Factors in Computing Systems, ACM, pp.49-59, 1992(6).
  46. D. Shin, "User value design for cloud courseware system," Behavior & Information Technology, Vol.34, No.5, pp.506-519, 2015. https://doi.org/10.1080/0144929X.2014.918177
  47. D. Shin and D. Ahn, "Associations between game use and cognitive empathy: A crossgenerational study," Cyberpsychology, Behavior, and Social Networking, Vol.16, No.8, pp.599-603, 2013. https://doi.org/10.1089/cyber.2012.0639
  48. M. Swan, "The Quantified Self: Fundamental disruption in big data science and biological discovery," Big Data, Vol.1, No.2, pp.85-99, 2013. https://doi.org/10.1089/big.2012.0002
  49. M. Whooley, B. Ploderer, and K. Gray, "On the Integration of Self-tracking Data amongst Quantified Self Members," In Proceedings of the 28th International BCS Human Computer Interaction Conference on HCI 2014-Sand, Sea and Sky-Holiday HCI, BSC, pp.151-160, 2014(9).
  50. Y. Yamauchi, M. Yokozawa, T. Shinohara, and T. Ishida, "Collaboration with Lean Media: how open-source software succeeds," In Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work, ACM, pp.329-338, 2000(12).
  51. J. Gemmell, G. Bell, and R. Lueder, "MyLifeBits: a personal database for everything," Communications of the ACM, Vol.49, No.1, pp.88-95, 2006.
  52. S. Hodges, L. Williams, E. Berry, S. Izadi, J. Srinivasan, A. Butler, and K. Wood, "SenseCam: A retrospective memory aid," In UbiComp 2006: Ubiquitous Computing, Springer Berlin Heidelberg, pp.177-193, 2006.
  53. D. Shin and K. Chung, "The effects of input modality and story-based knowledge on users' game experience," Computers in Human Behavior, Vol.68, pp.180-189, 2017. https://doi.org/10.1016/j.chb.2016.11.030
  54. D. Shin and F. Biocca, "Health experience model of personal informatics," Computers in Human Behavior, Vol.69, pp.62-74, 2017. https://doi.org/10.1016/j.chb.2016.12.019