Published on in Vol 16, No 11 (2014): November

Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data

Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data

Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data

Authors of this article:

Cecily Morrison1, 2 Author Orcid Image ;   Gavin Doherty3 Author Orcid Image

Journals

  1. Gao P, Guan L, Liu Y, Liu F, Yu W, Li X, Liu S, Lu Y, Li H, Xiang H. Cultivating global health professionals: evaluation of a training course to develop international consulting service competence in China. Global Health Journal 2020;4(2):51 View
  2. Ainsworth B, Steele M, Stuart B, Joseph J, Miller S, Morrison L, Little P, Yardley L. Using an Analysis of Behavior Change to Inform Effective Digital Intervention Design: How Did the PRIMIT Website Change Hand Hygiene Behavior Across 8993 Users?. Annals of Behavioral Medicine 2017;51(3):423 View
  3. Enrique A, Palacios J, Ryan H, Richards D. Exploring the Relationship Between Usage and Outcomes of an Internet-Based Intervention for Individuals With Depressive Symptoms: Secondary Analysis of Data From a Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(8):e12775 View
  4. Usher-Smith J, Winther L, Shefer G, Silarova B, Payne R, Griffin S. Factors Associated With Engagement With a Web-Based Lifestyle Intervention Following Provision of Coronary Heart Disease Risk: Mixed Methods Study. Journal of Medical Internet Research 2017;19(10):e351 View
  5. Meyer D, Jayawardana M, Muir S, Ho D, Sackett O. Promoting Psychological Well-Being at Work by Reducing Stress and Improving Sleep: Mixed-Methods Analysis. Journal of Medical Internet Research 2018;20(10):e267 View
  6. Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Translational Behavioral Medicine 2017;7(2):254 View
  7. Bauermeister J, Golinkoff J, Muessig K, Horvath K, Hightow-Weidman L. Addressing engagement in technology-based behavioural HIV interventions through paradata metrics. Current Opinion in HIV and AIDS 2017;12(5):442 View
  8. Mihuta M, Green H. The implementation of web-based cognitive rehabilitation in adult cancer survivors: examining participant engagement, attrition and treatment fidelity. Supportive Care in Cancer 2018;26(2):499 View
  9. Usher-Smith J, Masson G, Mills K, Sharp S, Sutton S, Klein W, Griffin S. A randomised controlled trial of the effect of providing online risk information and lifestyle advice for the most common preventable cancers: study protocol. BMC Public Health 2018;18(1) View
  10. Brown M, O'Neill N, van Woerden H, Eslambolchilar P, Jones M, John A. Gamification and Adherence to Web-Based Mental Health Interventions: A Systematic Review. JMIR Mental Health 2016;3(3):e39 View
  11. Pham Q, Graham G, Carrion C, Morita P, Seto E, Stinson J, Cafazzo J. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941 View
  12. Kemmeren L, van Schaik A, Smit J, Ruwaard J, Rocha A, Henriques M, Ebert D, Titzler I, Hazo J, Dorsey M, Zukowska K, Riper H. Unraveling the Black Box: Exploring Usage Patterns of a Blended Treatment for Depression in a Multicenter Study. JMIR Mental Health 2019;6(7):e12707 View
  13. Stassen G, Grieben C, Froböse I, Schaller A. Engagement with a Web-Based Health Promotion Intervention among Vocational School Students: A Secondary User and Usage Analysis. International Journal of Environmental Research and Public Health 2020;17(7):2180 View
  14. Lim B, Kay J, Liu W. How Does a Nation Walk?. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(2):1 View
  15. Myneni S, Sridharan V, Cobb N, Cohen T. Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions. Journal of Participatory Medicine 2018;10(3):e9 View
  16. Milward J, Deluca P, Drummond C, Kimergård A. Developing Typologies of User Engagement With the BRANCH Alcohol-Harm Reduction Smartphone App: Qualitative Study. JMIR mHealth and uHealth 2018;6(12):e11692 View
  17. Morrison L, Geraghty A, Lloyd S, Goodman N, Michaelides D, Hargood C, Weal M, Yardley L. Comparing usage of a web and app stress management intervention: An observational study. Internet Interventions 2018;12:74 View
  18. Bond R, Moorhead A, Mulvenna M, O'Neill S, Potts C, Murphy N. Exploring temporal behaviour of app users completing ecological momentary assessments using mental health scales and mood logs. Behaviour & Information Technology 2019;38(10):1016 View
  19. Thieme A, Belgrave D, Doherty G. Machine Learning in Mental Health. ACM Transactions on Computer-Human Interaction 2020;27(5):1 View
  20. Richmond H, Hall A, Hansen Z, Williamson E, Davies D, Lamb S. Using mixed methods evaluation to assess the feasibility of online clinical training in evidence based interventions: a case study of cognitive behavioural treatment for low back pain. BMC Medical Education 2016;16(1) View
  21. Morrison C, D'Souza M, Huckvale K, Dorn J, Burggraaff J, Kamm C, Steinheimer S, Kontschieder P, Criminisi A, Uitdehaag B, Dahlke F, Kappos L, Sellen A. Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer Vision. JMIR Human Factors 2015;2(1):e11 View
  22. Hermes E, Lyon A, Schueller S, Glass J. Measuring the Implementation of Behavioral Intervention Technologies: Recharacterization of Established Outcomes. Journal of Medical Internet Research 2019;21(1):e11752 View
  23. Lederman R, Gleeson J, Wadley G, D’alfonso S, Rice S, Santesteban-Echarri O, Alvarez-Jimenez M. Support for Carers of Young People with Mental Illness. ACM Transactions on Computer-Human Interaction 2019;26(1):1 View
  24. Miller S, Ainsworth B, Yardley L, Milton A, Weal M, Smith P, Morrison L. A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint. Journal of Medical Internet Research 2019;21(2):e10966 View
  25. Arden-Close E, Smith E, Bradbury K, Morrison L, Dennison L, Michaelides D, Yardley L. A Visualization Tool to Analyse Usage of Web-Based Interventions: The Example of Positive Online Weight Reduction (POWeR). JMIR Human Factors 2015;2(1):e8 View
  26. Bell L, Garnett C, Qian T, Perski O, Williamson E, Potts H. Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(12):e23369 View
  27. Mulvenna M, Bond R, Delaney J, Dawoodbhoy F, Boger J, Potts C, Turkington R. Ethical Issues in Democratizing Digital Phenotypes and Machine Learning in the Next Generation of Digital Health Technologies. Philosophy & Technology 2021;34(4):1945 View
  28. Chekroud A, Bondar J, Delgadillo J, Doherty G, Wasil A, Fokkema M, Cohen Z, Belgrave D, DeRubeis R, Iniesta R, Dwyer D, Choi K. The promise of machine learning in predicting treatment outcomes in psychiatry. World Psychiatry 2021;20(2):154 View
  29. Scarpa M, Prilletensky I, McMahon A, Myers N, Prilleltensky O, Lee S, Pfeiffer K, Bateman A, Brincks A. Is Fun For Wellness Engaging? Evaluation of User Experience of an Online Intervention to Promote Well-Being and Physical Activity. Frontiers in Computer Science 2021;3 View
  30. Dobashi K, Ho C, Fulford C, Grace Lin M, Higa C. Learning pattern classification using moodle logs and the visualization of browsing processes by time-series cross-section. Computers and Education: Artificial Intelligence 2022;3:100105 View
  31. Balaskas A, Schueller S, Cox A, Rashleigh C, Doherty G, Tizzoni M. Examining young adults daily perspectives on usage of anxiety apps: A user study. PLOS Digital Health 2023;2(1):e0000185 View
  32. Balaskas A, Schueller S, Cox A, Doherty G. Understanding users’ perspectives on mobile apps for anxiety management. Frontiers in Digital Health 2022;4 View
  33. Wakjira A, Bhattacharya S. Student Engagement Awareness in an Asynchronous E-Learning Environment. International Journal of Technology-Enabled Student Support Services 2023;12(1):1 View
  34. Jawad D, Cheng H, Wen L, Rissel C, Baur L, Mihrshahi S, Taki S. Interactivity, Quality, and Content of Websites Promoting Health Behaviors During Infancy: 6-Year Update of the Systematic Assessment. Journal of Medical Internet Research 2022;24(10):e38641 View
  35. Greenhow C, Graham C, Koehler M. Foundations of online learning: Challenges and opportunities. Educational Psychologist 2022;57(3):131 View
  36. Wang Y, DeVito Dabbs A, Thomas T, Campbell G, Donovan H. Measuring Engagement in Provider-Guided Digital Health Interventions With a Conceptual and Analytical Framework Using Nurse WRITE as an Exemplar: Exploratory Study With an Iterative Approach. JMIR Formative Research 2024;8:e57529 View
  37. Mi R, Yang E, Tahk A, Tarfa A, Cotter L, Lu L, Yang S, Gustafson Sr D, Westergaard R, Shah D. mHealth Engagement for Antiretroviral Medication Adherence Among People With HIV and Substance Use Disorders: Observational Study. Journal of Medical Internet Research 2024;26:e57774 View
  38. Bernstein E, Daniel K, Miyares P, Hoeppner S, Bentley K, Snorrason I, Fisher L, Greenberg J, Weingarden H, Harrison O, Wilhelm S. Patterns of Skills Review in Smartphone Cognitive Behavioral Therapy for Depression: Observational Study of Intervention Content Use. JMIR Mental Health 2025;12:e63497 View
  39. Amaral L, Macedo M, Zaina L. What is the State of the Art on UX Data Visualization? A Systematic Mapping of the Literature. Journal on Interactive Systems 2025;16(1):267 View
  40. Jung G, Lim H, Han K, Kim H, Lee U. Designing a Visual Analytics Tool to Support Data Analysis Tasks of Digital Mental Health Interventions: A Case Study (Preprint). JMIR Human Factors 2024 View

Books/Policy Documents

  1. Yeager C, Bock J, Benight C. Secondary Trauma and Burnout in Military Behavioral Health Providers. View
  2. Dobashi K. Educational Data Science: Essentials, Approaches, and Tendencies. View

Conference Proceedings

  1. Chen A, Chang J, Hallinan S, Mohr D. 2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC). Mapping User Trajectories to Examine Behavior and Outcomes in Digital Health Intervention Data View
  2. Bond R, Moorhead A, Mulvenna M, O'Neill S, Potts C, Murphy N. Proceedings of the 31st European Conference on Cognitive Ergonomics - ECCE 2019. Behaviour Analytics of Users Completing Ecological Momentary Assessments in the Form of Mental Health Scales and Mood Logs on a Smartphone App View
  3. Dhamija S, Boult T. 2018 IEEE Winter Applications of Computer Vision Workshops (WACVW). Learning Visual Engagement for Trauma Recovery View
  4. Zhang Z, Fang H, Wang H. 2015 17th International Conference on E-health Networking, Application & Services (HealthCom). Visualization aided engagement pattern validation for big longitudinal web behavior intervention data View
  5. Linehan C, Kirman B. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. MC Hammer Presents View
  6. Rennick-Egglestone S, Knowles S, Toms G, Bee P, Lovell K, Bower P. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. Health Technologies 'In the Wild' View
  7. Turkington R, Mulvenna M, Bond R, O.Neill S, Armour C. . The Application of User Event Log Data for Mental Health and Wellbeing Analysis View
  8. Davidson N, Vines J, Bartindale T, Sutton S, Green D, Comber R, Balaam M, Olivier P, Vance G. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. Supporting Self-Care of Adolescents with Nut Allergy Through Video and Mobile Educational Tools View
  9. Sasmoko , Indrianti Y, Widhoyoko S, Udjaja Y, Tanurwijaya A. 2018 6th International Conference on Cyber and IT Service Management (CITSM). Teacher Engagement Interventions through ITEI Apps View
  10. Jin S, Kim B, Han K. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. "I Don't Know Why I Should Use This App": Holistic Analysis on User Engagement Challenges in Mobile Mental Health View