This paper is in the following e-collection/theme issue:

Design and Usability of Consumer Health Tech and Home Monitoring Devices (265) mHealth for Wellness, Behavior Change and Prevention (3096) Mobile Health (mhealth) (3151) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1802) Usability of Apps and User Perceptions of mHealth (1083) Mobile Health in Psychiatry (478)

Published on in Vol 9, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35668, first published .
Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis

Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis

Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis

Authors of this article:

Tanya Malik1 Author Orcid Image ;   Adrian Jacques Ambrose2 Author Orcid Image ;   Chaitali Sinha1 Author Orcid Image
Article Authors Cited by (33) Tweetations (8) Metrics

Journals

  1. Gupta M, Malik T, Sinha C. Delivery of a Mental Health Intervention for Chronic Pain Through an Artificial Intelligence–Enabled App (Wysa): Protocol for a Prospective Pilot Study. JMIR Research Protocols 2022;11(3):e36910 View
  2. Sinha C, Meheli S, Kadaba M. Understanding Digital Mental Health Needs and Usage With an Artificial Intelligence–Led Mental Health App (Wysa) During the COVID-19 Pandemic: Retrospective Analysis. JMIR Formative Research 2023;7:e41913 View
  3. Wawer Matos P, Reimer R, Rokohl A, Caldeira L, Heindl L, Große Hokamp N. Artificial Intelligence in Ophthalmology – Status Quo and Future Perspectives. Seminars in Ophthalmology 2023;38(3):226 View
  4. Belda-Medina J, Calvo-Ferrer J. Using Chatbots as AI Conversational Partners in Language Learning. Applied Sciences 2022;12(17):8427 View
  5. Iglesias M, Sinha C, Vempati R, Grace S, Roy M, Chapman W, Rinaldi M. Evaluating a Digital Mental Health Intervention (Wysa) for Workers’ Compensation Claimants. Journal of Occupational & Environmental Medicine 2023;65(2):e93 View
  6. Inkster B, Kadaba M, Subramanian V. Understanding the impact of an AI-enabled conversational agent mobile app on users’ mental health and wellbeing with a self-reported maternal event: a mixed method real-world data mHealth study. Frontiers in Global Women's Health 2023;4 View
  7. Stoner E, Wilbanks S. Effectiveness of Cognitive Behavioral Therapy for Insomnia in Women Experiencing Menopausal Insomnia: A Scoping Review. Critical Reviews in Physical and Rehabilitation Medicine 2023;35(4):55 View
  8. AKYAZI K, BAŞTEMUR Ş. Interactive Robots: Therapy Robots. Psikiyatride Güncel Yaklaşımlar 2024;16(1):16 View
  9. Li L, Peng W, Rheu M. Factors Predicting Intentions of Adoption and Continued Use of Artificial Intelligence Chatbots for Mental Health: Examining the Role of UTAUT Model, Stigma, Privacy Concerns, and Artificial Intelligence Hesitancy. Telemedicine and e-Health 2024;30(3):722 View
  10. Cheng A, Agarwal M, Armbrecht M, Abraham J, Calfee R, Goss C. Behavioral Mechanisms That Mediate Mental and Physical Health Improvements in People With Chronic Pain Who Receive a Digital Health Intervention: Prospective Cohort Pilot Study. JMIR Formative Research 2023;7:e51422 View
  11. Aghakhani S, Carre N, Mostovoy K, Shafer R, Baeza-Hernandez K, Entenberg G, Testerman A, Bunge E. Qualitative analysis of mental health conversational agents messages about autism spectrum disorder: a call for action. Frontiers in Digital Health 2023;5 View
  12. Chang C, Sinha C, Roy M, Wong J. AI-Led Mental Health Support (Wysa) for Health Care Workers During COVID-19: Service Evaluation. JMIR Formative Research 2024;8:e51858 View
  13. Abdelhalim E, Anazodo K, Gali N, Robson K. A framework of diversity, equity, and inclusion safeguards for chatbots. Business Horizons 2024;67(5):487 View
  14. Ferrario A, Sedlakova J, Trachsel M. The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals with Depression: A Critical Analysis (Preprint). JMIR Mental Health 2024 View
  15. Alhuwaydi A. Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions – A Narrative Review for a Comprehensive Insight. Risk Management and Healthcare Policy 2024;Volume 17:1339 View
  16. Yoon S, Goh H, Low X, Weng J, Heaukulani C. User perceptions and utilisation of features of an AI-enabled workplace digital mental wellness platform ‘mindline at work’. BMJ Health & Care Informatics 2024;31(1):e101045 View
  17. Le K, Cayrat C. Howdy, Robo-Partner: exploring artificial companionship and its stress-alleviating potential for service employees. Journal of Service Management 2024 View
  18. Heissler R, Jonáš J, Carre N, Mostovoy K, Bunge E, McDaniel B. Can AI Digital Personas for Well‐Being Provide Social Support? A Mixed‐Method Analysis of User Reviews. Human Behavior and Emerging Technologies 2024;2024(1) View
  19. Aghakhani S, Rousseau A, Mizrahi S, Tan X, Dosovitsky G, Mlodzianowski L, Marshall Z, Bunge E. Conversational Agent Utilization Patterns of Individuals with Autism Spectrum Disorder. Journal of Technology in Behavioral Science 2024 View
  20. Siddals S, Torous J, Coxon A. “It happened to be the perfect thing”: experiences of generative AI chatbots for mental health. npj Mental Health Research 2024;3(1) View
  21. Ojo Y, Makinde O, Babatunde O, Babatunde G, Okeowo S. Evaluating AI-Driven Mental Health Solutions: A Hybrid Fuzzy Multi-Criteria Decision-Making Approach. AI 2025;6(1):14 View
  22. Okuboyejo S, Han S, Jha S, Eneja C, Orji R. Insights from User Reviews to Improve Suicide Prevention Apps: A Machine Learning and Thematic Analysis-Based Approach. International Journal of Human–Computer Interaction 2025:1 View
  23. Xing Y, Yang Y, Yang K, Lu A, Xing L, Mackie K, Guo F. Intelligent sensing devices and systems for personalized mental health. Med-X 2025;3(1) View
  24. Victor B, Goldkind L. The Therapist in the Machine: Confronting AI’s Challenge to Clinical Social Work. Journal of Technology in Human Services 2025:1 View
  25. Kelly S, Kaye S, White K, Oviedo-Trespalacios O. What factors predict user acceptance of ChatGPT for mental and physical healthcare: an extended technology acceptance model framework. AI & SOCIETY 2025 View

Books/Policy Documents

  1. Gallese C. Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection. View
  2. Taylor D, Buckley O, Aung H. HCI International 2023 Posters. View
  3. Taylor D, Melvin C, Aung H, Asif R. HCI for Cybersecurity, Privacy and Trust. View

Conference Proceedings

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  2. Subramani K, Manoharan G. 2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO). Humanizing The Role of Artificial Intelligence in Revolutionizing Emotional Intelligence View
  3. V K H, R M B, Upreti C, Alex L. 2024 IEEE Students Conference on Engineering and Systems (SCES). Mental Health Chatbot View
  4. Wibowo B, Santosa P, Ishaq Alfarozi S. 2024 International Conference on Information Technology and Computing (ICITCOM). A Survey Study of Strategies for Improving User Interface in Mental Health View
  5. Geng S, Inayoshi R, Yang C, Sramek Z, Umeda Y, Kasahara C, Sato A, Hosio S, Yatani K. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Beyond the Dialogue: Multi-chatbot Group Motivational Interviewing for Premenstrual Syndrome (PMS) Management View