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

Chatbots and Conversational Agents (542) Articles* (17)

Published on in Vol 21, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12996, first published .
A Virtual Agent to Support Individuals Living With Physical and Mental Comorbidities: Co-Design and Acceptability Testing

A Virtual Agent to Support Individuals Living With Physical and Mental Comorbidities: Co-Design and Acceptability Testing

A Virtual Agent to Support Individuals Living With Physical and Mental Comorbidities: Co-Design and Acceptability Testing

Authors of this article:

Katherine Easton1, 2 Author Orcid Image ;   Stephen Potter1, 2 Author Orcid Image ;   Remi Bec3, 4 Author Orcid Image ;   Matthew Bennion2, 5, 6 Author Orcid Image ;   Heidi Christensen2, 5 Author Orcid Image ;   Cheryl Grindell3 Author Orcid Image ;   Bahman Mirheidari5 Author Orcid Image ;   Scott Weich1 Author Orcid Image ;   Luc de Witte1, 2 Author Orcid Image ;   Daniel Wolstenholme3 Author Orcid Image ;   Mark S. Hawley1, 2 Author Orcid Image
Article Authors Cited by (50) Tweetations (12) Metrics

Journals

  1. Baptista S, Wadley G, Bird D, Oldenburg B, Speight J. Acceptability of an Embodied Conversational Agent for Type 2 Diabetes Self-Management Education and Support via a Smartphone App: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(7):e17038 View
  2. Bradwell H, Edwards K, Winnington R, Thill S, Jones R. Companion robots for older people: importance of user-centred design demonstrated through observations and focus groups comparing preferences of older people and roboticists in South West England. BMJ Open 2019;9(9):e032468 View
  3. Vandekerckhove P, de Mul M, Bramer W, de Bont A. Generative Participatory Design Methodology to Develop Electronic Health Interventions: Systematic Literature Review. Journal of Medical Internet Research 2020;22(4):e13780 View
  4. Schachner T, Keller R, v Wangenheim F. Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review. Journal of Medical Internet Research 2020;22(9):e20701 View
  5. Haubold J. Künstliche Intelligenz in der Radiologie. Der Radiologe 2020;60(1):64 View
  6. Thorn P, Hill N, Lamblin M, Teh Z, Battersby-Coulter R, Rice S, Bendall S, Gibson K, Finlay S, Blandon R, de Souza L, West A, Cooksey A, Sciglitano J, Goodrich S, Robinson J. Developing a Suicide Prevention Social Media Campaign With Young People (The #Chatsafe Project): Co-Design Approach. JMIR Mental Health 2020;7(5):e17520 View
  7. Da Silva Júnior J, Biduski D, Bellei E, Becker O, Daroit L, Pasqualotti A, Tourinho Filho H, De Marchi A. A Bowling Exergame to Improve Functional Capacity in Older Adults: Co-Design, Development, and Testing to Compare the Progress of Playing Alone Versus Playing With Peers. JMIR Serious Games 2021;9(1):e23423 View
  8. Perski O, Short C. Acceptability of digital health interventions: embracing the complexity. Translational Behavioral Medicine 2021;11(7):1473 View
  9. Zidaru T, Morrow E, Stockley R. Ensuring patient and public involvement in the transition to AI‐assisted mental health care: A systematic scoping review and agenda for design justice. Health Expectations 2021;24(4):1072 View
  10. Seibert K, Domhoff D, Bruch D, Schulte-Althoff M, Fürstenau D, Biessmann F, Wolf-Ostermann K. Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review. Journal of Medical Internet Research 2021;23(11):e26522 View
  11. Maenhout L, Peuters C, Cardon G, Compernolle S, Crombez G, DeSmet A. Participatory Development and Pilot Testing of an Adolescent Health Promotion Chatbot. Frontiers in Public Health 2021;9 View
  12. Chew H, Achananuparp P. Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review. Journal of Medical Internet Research 2022;24(1):e32939 View
  13. Loveys K, Sagar M, Pickering I, Broadbent E. A Digital Human for Delivering a Remote Loneliness and Stress Intervention to At-Risk Younger and Older Adults During the COVID-19 Pandemic: Randomized Pilot Trial. JMIR Mental Health 2021;8(11):e31586 View
  14. Samal L, Fu H, Camara D, Wang J, Bierman A, Dorr D. Health information technology to improve care for people with multiple chronic conditions. Health Services Research 2021;56(S1):1006 View
  15. Bin Sawad A, Narayan B, Alnefaie A, Maqbool A, Mckie I, Smith J, Yuksel B, Puthal D, Prasad M, Kocaballi A. A Systematic Review on Healthcare Artificial Intelligent Conversational Agents for Chronic Conditions. Sensors 2022;22(7):2625 View
  16. Potts C, Ennis E, Bond R, Mulvenna M, McTear M, Boyd K, Broderick T, Malcolm M, Kuosmanen L, Nieminen H, Vartiainen A, Kostenius C, Cahill B, Vakaloudis A, McConvey G, O’Neill S. Chatbots to Support Mental Wellbeing of People Living in Rural Areas: Can User Groups Contribute to Co-design?. Journal of Technology in Behavioral Science 2021;6(4):652 View
  17. Luca S, Clausen M, Shaw A, Lee W, Krishnapillai S, Adi-Wauran E, Faghfoury H, Costain G, Jobling R, Aronson M, Liston E, Silver J, Shuman C, Chad L, Hayeems R, Bombard Y, Bernier F, Brudno M, Carroll J, Cohn R, Dhalla I, Friedman J, Hewson S, Jamieson T, Kodida R, Laberge A, Lerner-Ellis J, Mamdani M, Marshall C, Osmond M, Pham Q, Reble E, Rudzicz F, Seto E, Shastri-Estrada S, Smith M, Thorpe K, Ungar W. Finding the sweet spot: a qualitative study exploring patients’ acceptability of chatbots in genetic service delivery. Human Genetics 2023;142(3):321 View
  18. Gunn K, Skaczkowski G, Dollman J, Vincent A, Short C, Brumby S, Barrett A, Harrison N, Turnbull D. Combining Farmers’ Preferences With Evidence-Based Strategies to Prevent and Lower Farmers’ Distress: Co-design and Acceptability Testing of ifarmwell. JMIR Human Factors 2022;9(1):e27631 View
  19. Marcoux A, Tessier M, Grondin F, Reduron L, Jackson P. Perspectives fondamentale, clinique et sociétale de l’utilisation des personnages virtuels en santé mentale. Santé mentale au Québec 2021;46(1):35 View
  20. Islam A, Chaudhry B. Design Validation of a Relational Agent by COVID-19 Patients: Mixed Methods Study. JMIR Human Factors 2023;10:e42740 View
  21. Duffy A, Christie G, Moreno S. The Challenges Toward Real-world Implementation of Digital Health Design Approaches: Narrative Review. JMIR Human Factors 2022;9(3):e35693 View
  22. MacNeill A, MacNeill L, Doucet S, Luke A. Professional representation of conversational agents for health care: a scoping review protocol. JBI Evidence Synthesis 2022;20(2):666 View
  23. Budler L, Gosak L, Stiglic G. Review of artificial intelligence‐based question‐answering systems in healthcare. WIREs Data Mining and Knowledge Discovery 2023;13(2) View
  24. Vázquez A, López Zorrilla A, Olaso J, Torres M. Dialogue Management and Language Generation for a Robust Conversational Virtual Coach: Validation and User Study. Sensors 2023;23(3):1423 View
  25. Kim B, Seo S. Intelligent Digital Human Agent Service With Deep Learning Based-Face Recognition. IEEE Access 2022;10:72794 View
  26. Koulouri T, Macredie R, Olakitan D. Chatbots to Support Young Adults’ Mental Health: An Exploratory Study of Acceptability. ACM Transactions on Interactive Intelligent Systems 2022;12(2):1 View
  27. Zipfel N, Horreh B, Hulshof C, de Boer A, van der Burg-Vermeulen S. The relationship between the living lab approach and successful implementation of healthcare innovations: an integrative review. BMJ Open 2022;12(6):e058630 View
  28. An Q, Sandlund M, Agnello D, McCaffrey L, Chastin S, Helleday R, Wadell K. A scoping review of co-creation practice in the development of non-pharmacological interventions for people with Chronic Obstructive Pulmonary Disease: A health CASCADE study. Respiratory Medicine 2023;211:107193 View
  29. Pal D, Vanijja V, Thapliyal H, Zhang X. What affects the usage of artificial conversational agents? An agent personality and love theory perspective. Computers in Human Behavior 2023;145:107788 View
  30. Ehtesham-Ul-Haque M, D’Rozario J, Adnin R, Utshaw F, Tasneem F, Shefa I, Al Islam A. EmoBot: Artificial emotion generation through an emotional chatbot during general-purpose conversations. Cognitive Systems Research 2024;83:101168 View
  31. Wutz M, Hermes M, Winter V, Köberlein-Neu J. Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review. Journal of Medical Internet Research 2023;25:e46548 View
  32. Tseng Y, Jarupreechachan W, Lee T. Understanding the Benefits and Design of Chatbots to Meet the Healthcare Needs of Migrant Workers. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW2):1 View
  33. Ung T, O’Reilly C, Moles R, El-Den S. Co-designing psychosis simulated patient scenarios with mental health stakeholders for pharmacy curricula. International Journal of Clinical Pharmacy 2023;45(5):1184 View
  34. Nourse R, Dingler T, Kelly J, Kwasnicka D, Maddison R. The Role of a Smart Health Ecosystem in Transforming the Management of Chronic Health Conditions. Journal of Medical Internet Research 2023;25:e44265 View
  35. Sumner J, Ng C, Teo K, Peh A, Lim Y. Co-designing care for multimorbidity: a systematic review. BMC Medicine 2024;22(1) View
  36. Kim H. The Effects of Artificial Intelligence Chatbots on Women’s Health: A Systematic Review and Meta-Analysis. Healthcare 2024;12(5):534 View
  37. Anisha S, Sen A, Bain C. Evaluating the Potential and Pitfalls of AI-Powered Conversational Agents as Humanlike Virtual Health Carers in the Remote Management of Noncommunicable Diseases: Scoping Review. Journal of Medical Internet Research 2024;26:e56114 View
  38. Veneziani I, Grimaldi A, Marra A, Morini E, Culicetto L, Marino S, Quartarone A, Maresca G. Towards a Deeper Understanding: Utilizing Machine Learning to Investigate the Association between Obesity and Cognitive Decline—A Systematic Review. Journal of Clinical Medicine 2024;13(8):2307 View
  39. Sadek M, Calvo R, Mougenot C. The Value-Sensitive Conversational Agent Co-Design Framework. International Journal of Human–Computer Interaction 2024:1 View

Books/Policy Documents

  1. Monteiro M, Salgado L, Seixas F, Santana R. Human Aspects of IT for the Aged Population. Healthy and Active Aging. View
  2. Das A, Sen V, Rose A. Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence. View
  3. Jing X, Xie X. 3D Imaging—Multidimensional Signal Processing and Deep Learning. View
  4. Félix B, Ribeiro J. Chatbot Research and Design. View
  5. Szakonyi B, Vassányi I, Mantur-Vierendeel A, Loi D, Correia G, Blažica B. Information and Communication Technologies for Ageing Well and e-Health. View