$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

The Relationship Between the Characteristics of Self-Tracking Data and User Experience Factors for Data-Driven Product Service System Design
데이터 기반 제품서비스 시스템 디자인을 위한 ‘사용자 추적 기록’ 데이터 특성과 사용자 경험 요인의 관계 고찰 원문보기

Archives of design research, v.34 no.3 = no.139, 2021년, pp.193 - 209  

Lee, Jooyeon ,  Lee, Jooyeon

초록이 없습니다.

참고문헌 (47)

  1. 10.1108/978-1-78743-289-520181001 

  2. Almalki, Manal, Gray, Kathleen, Martin-Sanchez, Fernando. Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies. Journal of medical Internet research, vol.18, no.5, e131-.

  3. Anderson, Kevin, Burford, Oksana, Emmerton, Lynne. Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences. PloS one, vol.11, no.5, e0156164-.

  4. Asimakopoulos, Stavros, Asimakopoulos, Grigorios, Spillers, Frank. Motivation and User Engagement in Fitness Tracking: Heuristics for Mobile Healthcare Wearables. Informatics, vol.4, no.1, 5-.

  5. Attig, Christiane, Franke, Thomas. I track, therefore I walk – Exploring the motivational costs of wearing activity trackers in actual users. International journal of human-computer studies, vol.127, 211-224.

  6. 10.1145/3025453.3025869 

  7. 10.1145/3173574.3173602 Ayobi, A., Sonne, T., Marshall, P., & Cox, A. L. (2018, April). Flexible and mindful self-tracking: Design implications from paper bullet journals. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1-14) 

  8. Boulton, Mary, Fitzpatrick, Ray, Swinburn, Clare. Qualitative research in health care: II. A structured review and evaluation of studies. Journal of evaluation in clinical practice, vol.2, no.3, 171-179.

  9. Cobb, Ann Kuckelman, Hagemaster, Julia Nelson. Ten Criteria for Evaluating Qualitative Research Proposals. The Journal of nursing education, vol.26, no.4, 138-143.

  10. Davis, Fred D., Bagozzi, Richard P., Warshaw, Paul R.. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management science, vol.35, no.8, 982-1003.

  11. Deci, Edward L., Ryan, Richard M.. The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior. Psychological inquiry, vol.11, no.4, 227-268.

  12. 10.1145/2858036.2858045 

  13. Etkin, Jordan. The Hidden Cost of Personal Quantification. The Journal of consumer research, vol.42, no.6, 967-984.

  14. 10.1145/2556288.2557383 

  15. Eysenbach, Gunther, Traver Salcedo, Vicente, Jongerius, Chiara, Lyons, Elizabeth, Corbett, Teresa, Giunti, Guido, Kool, Jan, Rivera Romero, Octavio, Dorronzoro Zubiete, Enrique. Exploring the Specific Needs of Persons with Multiple Sclerosis for mHealth Solutions for Physical Activity: Mixed-Methods Study. JMIR mHealth and uHealth, vol.6, no.2, e37-.

  16. 10.1145/2750858.2805832 

  17. Hassan, Lobna, Dias, Antonio, Hamari, Juho. How motivational feedback increases user’s benefits and continued use: A study on gamification, quantified-self and social networking. International journal of information management, vol.46, 151-162.

  18. Hermsen, S., Frost, J., Renes, R.J., Kerkhof, P.. Using feedback through digital technology to disrupt and change habitual behavior: A critical review of current literature. Computers in human behavior, vol.57, 61-74.

  19. Hollis, Victoria, Konrad, Artie, Springer, Aaron, Antoun, Matthew, Antoun, Christopher, Martin, Rob, Whittaker, Steve. What Does All This Data Mean for My Future Mood? Actionable Analytics and Targeted Reflection for Emotional Well-Being. Human-computer interaction, vol.32, no.5, 208-267.

  20. Jarrahi, Mohammad Hossein, Gafinowitz, Nicci, Shin, Grace. Activity trackers, prior motivation, and perceived informational and motivational affordances. Personal and ubiquitous computing, vol.22, no.2, 433-448.

  21. Jeffrey, Bronte, Bagala, Melina, Creighton, Ashley, Leavey, Tayla, Nicholls, Sarah, Wood, Crystal, Longman, Jo, Barker, Jane, Pit, Sabrina. Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users. Diabetology & metabolic syndrome, vol.11, no.1, 84-.

  22. Jin, D. (2019). Consumer self-tracking behavior. An investigation of the drivers and outcomes of self-tracking 

  23. Jin, Daoyan, Halvari, Hallgeir, Maehle, Natalia, Olafsen, Anja H.. Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking. Behaviour & information technology, vol.41, no.2, 242-261.

  24. 10.1145/2493432.2493457 

  25. Karapanos, Evangelos, Gouveia, Rúben, Hassenzahl, Marc, Forlizzi, Jodi. Wellbeing in the Making: Peoples’ Experiences with Wearable Activity Trackers. Psychology of well-being, vol.6, no.1, 4-.

  26. 10.1145/3025453.3025750 

  27. Kim, Young-Ho, Jeon, Jae Ho, Lee, Bongshin, Choe, Eun Kyoung, Seo, Jinwook. OmniTrack : A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking. Proceedings of acm on interactive, mobile, wearable and ubiquitous technologies, vol.1, no.3, 1-28.

  28. Kononova, Anastasia, Li, Lin, Kamp, Kendra, Bowen, Marie, Rikard, RV, Cotten, Shelia, Peng, Wei. The Use of Wearable Activity Trackers Among Older Adults: Focus Group Study of Tracker Perceptions, Motivators, and Barriers in the Maintenance Stage of Behavior Change. JMIR mHealth and uHealth, vol.7, no.4, e9832-.

  29. Lieffers, Jessica RL, Haresign, Helen, Mehling, Christine, Arocha, Jose F, Hanning, Rhona M. The website-based eaTracker®‘My Goals’ feature: a qualitative evaluation. Public health nutrition, vol.20, no.5, 859-869.

  30. Lomborg, Stine, Thylstrup, Nanna Bonde, Schwartz, Julie. The temporal flows of self-tracking: Checking in, moving on, staying hooked. New media & society, vol.20, no.12, 4590-4607.

  31. 10.1007/978-3-658-13137-1_4 

  32. Lupton, Deborah, Maslen, Sarah. The more-than-human sensorium: sensory engagements with digital self-tracking technologies. The senses & society, vol.13, no.2, 190-202.

  33. Mercer, Kathryn, Giangregorio, Lora, Schneider, Eric, Chilana, Parmit, Li, Melissa, Grindrod, Kelly. Acceptance of Commercially Available Wearable Activity Trackers Among Adults Aged Over 50 and With Chronic Illness: A Mixed-Methods Evaluation. JMIR mHealth and uHealth, vol.4, no.1, e7-.

  34. Moher, David, Liberati, Alessandro, Tetzlaff, Jennifer, Altman, Douglas G.. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS medicine, vol.6, no.7, e1000097-.

  35. Mopas, Michael S., Huybregts, Ekaterina. Training by feel: wearable fitness-trackers, endurance athletes, and the sensing of data. The senses & society, vol.15, no.1, 25-40.

  36. Morton, Emma, Hole, Rachelle, Murray, Greg, Buzwell, Simone, Michalak, Erin. Experiences of a Web-Based Quality of Life Self-Monitoring Tool for Individuals With Bipolar Disorder: A Qualitative Exploration. JMIR mental health, vol.6, no.12, e16121-.

  37. 10.1108/JCM-06-2016-1839 Pettinico, G., & Milne, G. R. (2017). Living by the numbers: understanding the "quantification effect". Journal of Consumer Marketing 

  38. Riggare, Sara, Scott Duncan, Therese, Hvitfeldt, Helena, Hägglund, Maria. “You have to know why you're doing this”: a mixed methods study of the benefits and burdens of self-tracking in Parkinson's disease. BMC medical informatics and decision making, vol.19, no.1, 175-.

  39. 10.1521/978.14625/28806 

  40. Saariketo, Minna. Encounters with Self-Monitoring Data on ICT Use. Nordicom review, vol.40, no.1, 125-140.

  41. Sheldon, Kennon M., Elliot, Andrew J., Kim, Youngmee, Kasser, Tim. What is satisfying about satisfying events? Testing 10 candidate psychological needs.. Journal of personality and social psychology, vol.80, no.2, 325-339.

  42. Shin, Dong-Hee, Biocca, Frank. Health experience model of personal informatics: The case of a quantified self. Computers in human behavior, vol.69, 62-74.

  43. Sjoklint, M., Constantiou, I., & Trier, M. (2013). Numerical representations and user behaviour in social networking sites: Towards a multi-theoretical research framework. Paper presented at the ECIS 

  44. Stiglbauer, Barbara, Weber, Silvana, Batinic, Bernad. Does your health really benefit from using a self-tracking device? Evidence from a longitudinal randomized control trial. Computers in human behavior, vol.94, 131-139.

  45. Swendeman, Dallas, Ramanathan, Nithya, Baetscher, Laura, Medich, Melissa, Scheffler, Aaron, Comulada, W. Scott, Estrin, Deborah. Smartphone Self-Monitoring to Support Self-Management Among People Living With HIV: Perceived Benefits and Theory of Change From a Mixed-Methods Randomized Pilot Study. Journal of acquired immune deficiency syndromes : JAIDS, vol.69, no.suppl1, S80-S91.

  46. 10.1145/2556288.2557268 

  47. Thomas, James, Harden, Angela. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC medical research methodology, vol.8, 45-45.

섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로