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

Voice Assistants (45) Web-based and Mobile Health Interventions (3297) Chatbots and Conversational Agents (531) Reviews in Digital Mental Health (243) mHealth for Wellness, Behavior Change and Prevention (2871) Innovations in Mental Health Systems (390)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25933, first published .
Voice-Based Conversational Agents for the Prevention and Management of Chronic and Mental Health Conditions: Systematic Literature Review

Voice-Based Conversational Agents for the Prevention and Management of Chronic and Mental Health Conditions: Systematic Literature Review

Voice-Based Conversational Agents for the Prevention and Management of Chronic and Mental Health Conditions: Systematic Literature Review

Authors of this article:

Caterina Bérubé1 Author Orcid Image ;   Theresa Schachner1 Author Orcid Image ;   Roman Keller2 Author Orcid Image ;   Elgar Fleisch1, 2, 3 Author Orcid Image ;   Florian v Wangenheim1, 2 Author Orcid Image ;   Filipe Barata1 Author Orcid Image ;   Tobias Kowatsch1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (59) Tweetations (8) Metrics

Journals

  1. Gross C, Schachner T, Hasl A, Kohlbrenner D, Clarenbach C, Wangenheim F, Kowatsch T. Personalization of Conversational Agent-Patient Interaction Styles for Chronic Disease Management: Two Consecutive Cross-sectional Questionnaire Studies. Journal of Medical Internet Research 2021;23(5):e26643 View
  2. Sezgin E, Oiler B, Abbott B, Noritz G, Huang Y. “Hey Siri, Help Me Take Care of My Child”: A Feasibility Study With Caregivers of Children With Special Healthcare Needs Using Voice Interaction and Automatic Speech Recognition in Remote Care Management. Frontiers in Public Health 2022;10 View
  3. Balaji D, He L, Giani S, Bosse T, Wiers R, de Bruijn G, Hogben M. Effectiveness and acceptability of conversational agents for sexual health promotion: a systematic review and meta-analysis. Sexual Health 2022;19(5):391 View
  4. Vieira A, Leite H, Volochtchuk A. The impact of voice assistant home devices on people with disabilities: A longitudinal study. Technological Forecasting and Social Change 2022;184:121961 View
  5. Shade M, Rector K, Kupzyk K. Voice Assistant Reminders and the Latency of Scheduled Medication Use in Older Adults With Pain: Descriptive Feasibility Study. JMIR Formative Research 2021;5(9):e26361 View
  6. Keller R, Hartmann S, Teepe G, Lohse K, Alattas A, Tudor Car L, Müller-Riemenschneider F, von Wangenheim F, Mair J, Kowatsch T. Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis. Journal of Medical Internet Research 2022;24(1):e33348 View
  7. Franco M, Monfort C, Piñas-Mesa A, Rincon E. Could Avatar Therapy Enhance Mental Health in Chronic Patients? A Systematic Review. Electronics 2021;10(18):2212 View
  8. Dutsinma F, Pal D, Funilkul S, Chan J. A Systematic Review of Voice Assistant Usability: An ISO 9241–11 Approach. SN Computer Science 2022;3(4) View
  9. Huq S, Maskeliūnas R, Damaševičius R. Dialogue agents for artificial intelligence-based conversational systems for cognitively disabled: a systematic review. Disability and Rehabilitation: Assistive Technology 2024;19(3):1059 View
  10. Imran M, Zaman U, Imran , Imtiaz J, Fayaz M, Gwak J. Comprehensive Survey of IoT, Machine Learning, and Blockchain for Health Care Applications: A Topical Assessment for Pandemic Preparedness, Challenges, and Solutions. Electronics 2021;10(20):2501 View
  11. Bian C, Ye B, Mihailidis A. The Development and Concurrent Validity of a Multi-Sensor-Based Frailty Toolkit for In-Home Frailty Assessment. Sensors 2022;22(9):3532 View
  12. Barbaric A, Munteanu C, Ross H, Cafazzo J. A Voice App Design for Heart Failure Self-management: Proof-of-Concept Implementation Study. JMIR Formative Research 2022;6(12):e40021 View
  13. Schick A, Feine J, Morana S, Maedche A, Reininghaus U. Validity of Chatbot Use for Mental Health Assessment: Experimental Study. JMIR mHealth and uHealth 2022;10(10):e28082 View
  14. Gustafson D, Mares M, Johnston D, Landucci G, Pe-Romashko K, Vjorn O, Hu Y, Gustafson D, Maus A, Mahoney J, Mutlu B. Using Smart Displays to Implement an eHealth System for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(5):e37522 View
  15. Bérubé C, Kovacs Z, Fleisch E, Kowatsch T. Reliability of Commercial Voice Assistants’ Responses to Health-Related Questions in Noncommunicable Disease Management: Factorial Experiment Assessing Response Rate and Source of Information. Journal of Medical Internet Research 2021;23(12):e32161 View
  16. Ali M, Jaber M, Abd S, Rehman A, Awan M, Vitkutė-Adžgauskienė D, Damaševičius R, Bahaj S. Harris Hawks Sparse Auto-Encoder Networks for Automatic Speech Recognition System. Applied Sciences 2022;12(3):1091 View
  17. Arnold A, Kolody S, Comeau A, Miguel Cruz A. What does the literature say about the use of personal voice assistants in older adults? A scoping review. Disability and Rehabilitation: Assistive Technology 2024;19(1):100 View
  18. Mariani M, Hashemi N, Wirtz J. Artificial intelligence empowered conversational agents: A systematic literature review and research agenda. Journal of Business Research 2023;161:113838 View
  19. Castro O, Mair J, Salamanca-Sanabria A, Alattas A, Keller R, Zheng S, Jabir A, Lin X, Frese B, Lim C, Santhanam P, van Dam R, Car J, Lee J, Tai E, Fleisch E, von Wangenheim F, Tudor Car L, Müller-Riemenschneider F, Kowatsch T. Development of “LvL UP 1.0”: a smartphone-based, conversational agent-delivered holistic lifestyle intervention for the prevention of non-communicable diseases and common mental disorders. Frontiers in Digital Health 2023;5 View
  20. Liu C, Zowghi D, Peng G, Kong S. Information quality of conversational agents in healthcare. Information Development 2023 View
  21. Mancone S, Diotaiuti P, Valente G, Corrado S, Bellizzi F, Vilarino G, Andrade A. The Use of Voice Assistant for Psychological Assessment Elicits Empathy and Engagement While Maintaining Good Psychometric Properties. Behavioral Sciences 2023;13(7):550 View
  22. Otero-González I, Pacheco-Lorenzo M, Fernández-Iglesias M, Anido-Rifón L. Conversational agents for depression screening: A systematic review. International Journal of Medical Informatics 2024;181:105272 View
  23. Volochtchuk A, Leite H, Vieira A. Voice assistant technology applied to populations with developmental and physical disabilities. Behaviour & Information Technology 2024;43(11):2300 View
  24. Mendu S, Doyle Fosco S, Lanza S, Abdullah S. Designing voice interfaces to support mindfulness-based pain management. DIGITAL HEALTH 2023;9 View
  25. Teepe G, Lukic Y, Kleim B, Jacobson N, Schneider F, Santhanam P, Fleisch E, Kowatsch T. Development of a digital biomarker and intervention for subclinical depression: study protocol for a longitudinal waitlist control study. BMC Psychology 2023;11(1) View
  26. Kiuchi K, Otsu K, Hayashi Y. Psychological insights into the research and practice of embodied conversational agents, chatbots and social assistive robots: a systematic meta-review. Behaviour & Information Technology 2023:1 View
  27. Bérubé C, Lehmann V, Maritsch M, Kraus M, Feuerriegel S, Wortmann F, Züger T, Stettler C, Fleisch E, Kocaballi A, Kowatsch T. Effectiveness and User Perception of an In-Vehicle Voice Warning for Hypoglycemia: Development and Feasibility Trial. JMIR Human Factors 2024;11:e42823 View
  28. Aboelmaged M, Bani-Melhem S, Ahmad Al-Hawari M, Ahmad I. Conversational AI Chatbots in library research: An integrative review and future research agenda. Journal of Librarianship and Information Science 2024 View
  29. Laymouna M, Ma Y, Lessard D, Schuster T, Engler K, Lebouché B. Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review. Journal of Medical Internet Research 2024;26:e56930 View
  30. Esquivel P, Gill K, Goldberg M, Sundaram S, Morris L, Ding D, Liew T. Voice Assistant Utilization among the Disability Community for Independent Living: A Rapid Review of Recent Evidence. Human Behavior and Emerging Technologies 2024;2024:1 View
  31. Fatima K, Singh P, Amipara H, Chaudhary G. Accuracy of Artificial Intelligence-Based Virtual Assistants in Responding to Frequently Asked Questions Related to Orthognathic Surgery. Journal of Oral and Maxillofacial Surgery 2024;82(8):916 View
  32. Doi T, Nishikawa Y. Usability Analysis of Smart Speakers from a Learnability Perspective for Novel Users. Applied System Innovation 2024;7(3):36 View
  33. Chawla U, Mohnot R, Singh H. Unleashing the potential: An empirical study on Student Application of ChatGPT in Education using serial mediation modeling. Education and Information Technologies 2024 View
  34. Manzo D, Jiang Y, Elyan E, Isaacs J. Artificial Intelligence-Based Conversational Agents Used for Sustainable Fashion: Systematic Literature Review. International Journal of Human–Computer Interaction 2024:1 View
  35. Sezgin E, Kocaballi A, Dolce M, Skeens M, Militello L, Huang Y, Stevens J, Kemper A. Chatbot for Social Need Screening and Resource Sharing With Vulnerable Families: Iterative Design and Evaluation Study. JMIR Human Factors 2024;11:e57114 View
  36. Wu P, Summers C, Panesar A, Kaura A, Zhang L. AI Hesitancy and Acceptability—Perceptions of AI Chatbots for Chronic Health Management and Long COVID Support: Survey Study. JMIR Human Factors 2024;11:e51086 View
  37. Richmond S, Bell M, Ngo D, Yap M. A non-randomized feasibility study of a voice assistant for parents to support their children’s mental health. Frontiers in Psychology 2024;15 View
  38. Marey A, Saad A, Killeen B, Gomez C, Tregubova M, Unberath M, Umair M. Generative Artificial Intelligence: Enhancing Patient Education in Cardiovascular Imaging. BJR|Open 2023;6(1) View
  39. Esquivel P, Gill K, Chung C, Ding D, Faieta J. Smart speakers and skill use: what do we know?. Disability and Rehabilitation: Assistive Technology 2024:1 View
  40. Babushkina D, de Boer B. Disrupted self, therapy, and the limits of conversational AI. Philosophical Psychology 2024:1 View
  41. Fischer A, Aguayo G, Pinker I, Oustric P, Lachaise T, Wilmes P, Larché J, Benoy C, Fagherazzi G. Co-design of a voice-based app to monitor long COVID symptoms with its end-users: A mixed-method study. DIGITAL HEALTH 2024;10 View
  42. Uetova E, Hederman L, Ross R, O’Sullivan D. Exploring the characteristics of conversational agents in chronic disease management interventions: A scoping review. DIGITAL HEALTH 2024;10 View
  43. Westby S, Radke R, Riedl C, Welles B. How voice and helpfulness shape perceptions in human–agent teams. Computers in Human Behavior: Artificial Humans 2024;2(2):100101 View
  44. Mantello P, Ghotbi N, Ho M, Mizutani F. Gauging public opinion of AI and emotionalized AI in healthcare: findings from a nationwide survey in Japan. AI & SOCIETY 2024 View

Books/Policy Documents

  1. Söldner R, Rheinländer S, Meyer T, Olszowy M, Austerjost J. Smart Biolabs of the Future. View
  2. Furtado E, Oliveira F, Pinheiro V. Innovations in Nephrology. View
  3. Bérubé C, Fleisch E. Digital Therapeutics for Mental Health and Addiction. View
  4. Ancker J, Turchioe M. Clinical Decision Support and Beyond. View
  5. Duong A, Valero M. Pervasive Computing Technologies for Healthcare. View
  6. Furtado E, Oliveira F, Pinheiro V. Innovationen in der Nephrologie. View