Published on in Vol 8, No 4 (2006):

To Track or Not to Track: User Reactions to Concepts in Longitudinal Health Monitoring

To Track or Not to Track: User Reactions to Concepts in Longitudinal Health Monitoring

To Track or Not to Track: User Reactions to Concepts in Longitudinal Health Monitoring

Journals

  1. Brietzke E, Hawken E, Idzikowski M, Pong J, Kennedy S, Soares C. Integrating digital phenotyping in clinical characterization of individuals with mood disorders. Neuroscience & Biobehavioral Reviews 2019;104:223 View
  2. Marschollek M, Wolf K, Plischke M, Ludwig W, Haux R, Mihailidis A, Howe J. People's Perceptions and Expectations of Assistive Health-Enabling Technologies: An Empirical Study in Germany. Assistive Technology 2009;21(2):86 View
  3. Verdezoto N, Grönvall E. On preventive blood pressure self-monitoring at home. Cognition, Technology & Work 2016;18(2):267 View
  4. Stucki R, Urwyler P, Rampa L, Müri R, Mosimann U, Nef T. A Web-Based Non-Intrusive Ambient System to Measure and Classify Activities of Daily Living. Journal of Medical Internet Research 2014;16(7):e175 View
  5. Mittelstadt B. Ethics of the health-related internet of things: a narrative review. Ethics and Information Technology 2017;19(3):157 View
  6. Koo H, Fallon K. Preferences in tracking dimensions for wearable technology. International Journal of Clothing Science and Technology 2017;29(2):180 View
  7. Pantzar M, Ruckenstein M, Mustonen V. Social rhythms of the heart. Health Sociology Review 2017;26(1):22 View
  8. Tully J, Dameff C, Longhurst C. Wave of Wearables. Clinics in Laboratory Medicine 2020;40(1):69 View
  9. Thielke S, Harniss M, Thompson H, Patel S, Demiris G, Johnson K. Maslow’s Hierarchy of Human Needs and the Adoption of Health-Related Technologies for Older Adults. Ageing International 2012;37(4):470 View
  10. Segerståhl K, Oinas-Kukkonen H. Designing personal exercise monitoring employing multiple modes of delivery: Implications from a qualitative study on heart rate monitoring. International Journal of Medical Informatics 2011;80(12):e203 View
  11. Finch M, Griffin K, Pacala J. Reduced Healthcare Use and Apparent Savings with Passive Home Monitoring Technology: A Pilot Study. Journal of the American Geriatrics Society 2017;65(6):1301 View
  12. Holtz B, Vasold K, Cotten S, Mackert M, Zhang M. Health Care Provider Perceptions of Consumer-Grade Devices and Apps for Tracking Health: A Pilot Study. JMIR mHealth and uHealth 2019;7(1):e9929 View
  13. Swan M. The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery. Big Data 2013;1(2):85 View
  14. Vanus J, Kubicek J, Gorjani O, Koziorek J. Using the IBM SPSS SW Tool with Wavelet Transformation for CO2 Prediction within IoT in Smart Home Care. Sensors 2019;19(6):1407 View
  15. Chung A, Griffin A, Selezneva D, Gotz D. Health and Fitness Apps for Hands-Free Voice-Activated Assistants: Content Analysis. JMIR mHealth and uHealth 2018;6(9):e174 View
  16. Lyall B, Robards B. Tool, toy and tutor: Subjective experiences of digital self-tracking. Journal of Sociology 2018;54(1):108 View
  17. Jen-Hao Chen , Chi P, Hao-Hua Chu , Chen C, Huang P. A Smart Kitchen for Nutrition-Aware Cooking. IEEE Pervasive Computing 2010;9(4):58 View
  18. Suryadevara N, Mukhopadhyay S. Determining Wellness through an Ambient Assisted Living Environment. IEEE Intelligent Systems 2014;29(3):30 View
  19. Frost J, Massagli M. Social Uses of Personal Health Information Within PatientsLikeMe, an Online Patient Community: What Can Happen When Patients Have Access to One Another’s Data. Journal of Medical Internet Research 2008;10(3):e15 View
  20. Panton R, Downie R, Truong T, MacKeen L, Kabene S, Yi Q, Chan H, Gallie B. A visual approach to providing prognostic information to parents of children with retinoblastoma. Psycho-Oncology 2009;18(3):300 View
  21. Nawyn J, Thompson M, Chen N, Larson K. A Closed-Loop Feedback System for a Context-Aware Tunable Architectural Lighting Application. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2012;56(1):541 View
  22. Van Hoye K, Wijtzes A, Lefevre J, De Baere S, Boen F. Year-round effects of a four-week randomized controlled trial using different types of feedback on employees’ physical activity. BMC Public Health 2018;18(1) View
  23. Vanus J, Kucera P, Martinek R, Koziorek J. Development and testing of a visualization application software, implemented with wireless control system in smart home care. Human-centric Computing and Information Sciences 2014;4(1) View
  24. Pantzar M, Ruckenstein M. The heart of everyday analytics: emotional, material and practical extensions in self-tracking market. Consumption Markets & Culture 2015;18(1):92 View
  25. Mittelstadt B. Ethics of the Health-Related Internet of Things: Mapping the Debate. SSRN Electronic Journal 2017 View
  26. Gardner C, Liu F, Fontelo P, Flanagan M, Hoang A, Burke H. Assessing the usability by clinicians of VISION: A hierarchical display of patient-collected physiological information to clinicians. BMC Medical Informatics and Decision Making 2017;17(1) View
  27. Kutz D, Shankar K, Connelly K. Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study. Journal of Medical Internet Research 2013;15(5):e83 View

Books/Policy Documents

  1. Morris M, Lundell J, Dishongh T, Needham B. Awareness Systems. View
  2. Orihuela-Espina F, Sucar L. Virtual Reality Enhanced Robotic Systems for Disability Rehabilitation. View
  3. Suryadevara N, Mukhopadhyay S. Smart Homes. View
  4. James C, Crowe J, Magill E, Brailsford S, Amor J, Prociow P, Blum J, Mohiuddin S. 4th European Conference of the International Federation for Medical and Biological Engineering. View
  5. Sierra J, Santiago M, Jantunen I, Kaasinen E, Kaaja H, Müllenborn M, Tille N, Virtanen J. Mobile Web 2.0. View
  6. Pool R, van Berkel J, van den Braak S, Harbers M, Bargh M. Beyond Smart and Connected Governments. View
  7. Orihuela-Espina F, Sucar L. Virtual and Augmented Reality. View