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Artificially intelligent chatbots in digital mental health interventions: a review
Open accessAbstract
INTRODUCTION: Increasing demand for mental health services and the expanding capabilities of artificial intelligence (AI) in recent years has driven the development of digital mental health interventions (DMHIs). To date, AI-based chatbots have been integrated into DMHIs to support diagnostics and screening, symptom management and behavior change, and content delivery. AREAS COVERED: , serves as a case study for discussion of potential challenges and how these might be addressed, and demonstrates the promise of chatbots as effective, usable, and adoptable within DMHIs. Finally, we discuss ways in which future research can advance the field, addressing topics including perceptions of AI, the impact of individual differences, and implications for privacy and ethics. EXPERT OPINION: Our discussion concludes with a speculative viewpoint on the future of AI in DMHIs, including the use of chatbots, the evolution of AI, dynamic mental health systems, hyper-personalization, and human-like intervention delivery.
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“Relative to chatbots that do not express empathy, chatbots that express empathy lead to more favorable ratings of companionship, i.e., the activities done together are perceived as more enjoyable or exciting (Boucher et al. 2021; Leite et al. 2013), and better mood after experiencing social exclusion (De Gennaro, Krumhuber, and Lucas 2020).”
From AI Companions Reduce Loneliness (2024) · cites this paper as Boucher et al. 2021
In the citing paper
“However, the study of the applications of AI in mental healthcare remains in its infancy (6, 20).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“AI technology can help address these issues by supporting a versatile, scalable, and powerful approach that can analyze and respond to large amounts of data and adapt to individual healthcare needs (6, 17–23).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“Nevertheless, recent studies have shown promising results of AI applications including suicide risk assessment and risk prediction, identification of mental illness predictors, mental health monitoring, psychoeducation and psychotherapy delivery, therapist training, mental healthcare personalization, mental health triage and decision-making, and promoting treatment engagement (6, 17–23).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“However, because of the novelty of this technology, there are several unanswered questions and considerations such as limitations in the interpretation of language, biases in the interaction with patients from diverse backgrounds, and unanswered ethical, patient safety, and health policy considerations (6, 17–23).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“Moreover, despite the accessibility of online mental healthcare interventions, reduced therapist support or guidance in some online programs, have resulted in participants having low levels of engagement with their treatment and a high risk of dropping out (6).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“Additionally, the studies reporting on the use of ML algorithms found significant success in outcome prediction and feature detection to support online therapy delivery (6, 19, 28, 29, 31, 33, 83, 85, 86, 92–94).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“These reviews recognized the novelty of this technology and the scarcity of evidence but noted several potential benefits in terms of providing a low-resource intensity alternative for individuals experiencing less severe mental health symptoms (6, 17).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“For instance, two recent reviews by Boucher et al. (2021) and Abd-alrazaq et al. (2019), reported that chatbots had shown promising applications including care assistance, symptom screening and monitoring, and therapy delivery.”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“This presents the interesting possibility of a potential therapeutic relationship between user and chatbot, which is something that self-guided eCBT has not been able to accomplish (6, 17–23, 74).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“The available literature supports the results obtained by this mixed-methods review, showing that AI-augmented interventions such as AI therapy chatbots can be promising, effective and accessible solutions for mental healthcare delivery (6, 17–23).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“As such, the relevant studies highlighted the importance of analyzing the large datasets produced by online mental healthcare interventions and the efficiency and accuracy of AI algorithms which in some cases were comparable to or better than human assessors (6, 19, 28, 29, 31, 33, 83, 85, 86, 92–94).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“Additionally, the scarcity of studies and low quality of evidence, including the lack of a control or adequate placebo group impacts the strength and reliability of the reported outcomes (6, 17, 18).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“Moreover, AI chatbots and language models have been inefficient at interpreting and responding to idioms, colloquialisms, slang, and metaphors.”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“In a global survey of psychiatrists, around 83% of respondents felt that AI would not be able to match the level of empathetic care provided by a professional (6, 98).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“Moreover as mentioned by other reviews in the field, several of the available studies lack an appropriate comparator or control group which can directly impact the observed effect of the AI-augmented interventions and tools reported in the literature (6, 17–23, 52–54, 57, 58, 67, 72).”
From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [6]
In the citing paper
“At the same time, a growing body of research shows that interactions with chatbots can contribute to improving their users’ mental health and quality of life, especially if the specific needs of the user match with chatbot capabilities (22, 24, 27, 31, 34, 40, 49–56).”
From Waiting for a digital therapist: three challenges on the path to psychotherapy delivered by artificial intelligence (2023) · cites this paper as [22]
Citations
Cites
Merikangas, K. R., He, J.-P., Burstein, M., Swanson, S. A., Avenevoli, S., Cui, L., Benjet, C., Georgiades, K., & Swendsen, J. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.05.017 · Cited by 6,278
ELIZA—a computer program for the study of natural language communication between man and machine
Weizenbaum, J. (1966) · Communications of the ACM · doi:10.1145/365153.365168 · Cited by 4,452
Gulliver, A., Griffiths, K. M., & Christensen, H. (2010) · BMC Psychiatry · doi:10.1186/1471-244x-10-113 · Cited by 3,292
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017) · JMIR Mental Health · doi:10.2196/mental.7785 · Cited by 2,730 · cited 5×
“studies, a common complaint from users is that interactions with chatbots become repetitive [61,85,98,102], which makes”
BackgroundInfluentialWang, P. S., Lane, M., Olfson, M., Pincus, H. A., Wells, K. B., & Kessler, R. C. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.629 · Cited by 2,695
Czeisler, M. É., Lane, R. I., Petrosky, E., Wiley, J. F., Christensen, A., Njai, R., Weaver, M. D., Robbins, R., Facer-Childs, E. R., Barger, L. K., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6932a1 · Cited by 2,686
Eysenbach, G. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.1.e11 · Cited by 2,524
Prevalence of depression symptoms in US adults before and during the COVID-19 pandemic
Ettman, C. K., Abdalla, S. M., Cohen, G. H., Sampson, L., Vivier, P. M., & Galea, S. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.19686 · Cited by 2,138
Wang, P. S., Aguilar-Gaxiola, S., Alonso, J., Angermeyer, M. C., Borges, G., Bromet, E. J., Bruffaerts, R., de Girolamo, G., de Graaf, R., Gureje, O., et al. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61414-7 · Cited by 1,655 · cited 1×
“Worldwide, it is estimated that 70% of people with mental illness receive no formal treatment [5].”
BackgroundComputer-based psychological treatments for depression: A systematic review and meta-analysis
Richards, D., & Richardson, T. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.02.004 · Cited by 1,442
Research works printed but not linked: 19
- Nagata JM, 2021, Psychiatr Serv
- Ahmed A, 2021, Comput Meth Prog Bio, 1, 1
- Sana M, 2017, IJACSA, 8, 9
- Mirheidari B, 2018, Detecting early signs of dementia in conversation [dissertation]
- DeVault D, 2014, Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems (AAMAS ‘14), 1061
- Divya S, 2018, WDJWD, 3, 1
- Sweeney C, 2021, ACM HEALTH, 2, 1
- 10.2196/12106 · DOI · Paper page
- 10.1007/s12668-016-0376-9 · DOI
- Cameron G, 2018, Proceedings of the 5th International Conference on Internet Science, INSCI 2018, 121
- Ghosh S, 2018, Stud Health Technol Inform, 252, 51
- 10.2196/mental.9782 · DOI · Paper page
- Radziwill NM, 2017, arXiv, 21
- Yu Z, Papangelis A, Rudnicky A. TickTock: anon-goal-oriented multimodal dialog system with engagement awareness. AAAI Spring symposium series. Pittsburg: PA; 2015.
- Kamita T, 2019, Mob Inf Syst
- Adamopoulou E, 2020, ML with Appl, 2, 100006
- Montemayor C, 2021, AI Soc, 1
- Fadhil A, 2019, ArXiv
- Lisetti C, 2013, ACM Trans Inf Syst, 4, 1
Cited by
Sorted by citations
Items 101–200 of 442
Chiauzzi, E. J., Williams, A. A. A., Mariano, T. Y., Pajarito, S., Robinson, A. H., Kirvin-Quamme, A., & Forman‐Hoffman, V. L. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-05532-6 · Cited by 22
Generative AI–Powered Mental Wellness Chatbot for College Student Mental Wellness: Open Trial
Reyes‐Portillo, J. A., So, A., McAlister, K. L., Nicodemus, C., Golden, A., Jacobson, C. M., & Huberty, J. (2025) · JMIR Formative Research · doi:10.2196/71923 · Cited by 38
Yu, L., Ge, Y., Ansari, S., Imran, M. A., & Ahmad, W. (2025) · Sensors · doi:10.3390/s25154763 · Cited by 26
Personalization in Digital Psychological Interventions for Young Adults
Jahedi, F., Henman, P. W. F., & Ryan, J. C. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2158261 · Cited by 24
Linardon, J. (2025) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-025-00344-1 · Cited by 24
Huang, Y., Wang, W., Zhou, J., Zhang, L., Lin, J., Liu, H., Hu, X., Zhou, Z., & Dong, W. (2025) · Information Processing & Management · doi:10.1016/j.ipm.2025.104152 · Cited by 22
Boit, S., & Patil, R. (2025) · JMIR Mental Health · doi:10.2196/75078 · Cited by 32
Chen, T., Chen, L., Li, S., Du, J., Su, H., Jiang, H., Wu, Q., Zhang, L., Bao, J., & Zhao, M. (2023) · JMIR mhealth and uhealth · doi:10.2196/40373 · Cited by 19
Lei, L., Li, J., & Li, W. (2023) · Soft Computing · doi:10.1007/s00500-023-08072-5 · Cited by 21
RetractedPatient Engagement and Satisfaction in Ai-Enhanced Healthcare Management
Rathore, Y. K., Chaturvedi, V. M., Madhukar, K. S., Karwande, V. S., Rokade, A. H., & Nagargoje, Y. (2023) · International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) · doi:10.1109/icaiihi57871.2023.10489712 · Cited by 18
Föyen, L. F., Zapel, E. C. M., Lekander, M., Hedman‐Lagerlöf, E., & Lindsäter, E. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100841 · Cited by 29
Jiang, J., & Yang, Y. (2025) · BMC Psychology · doi:10.1186/s40359-025-02640-0 · Cited by 17
Tucker, I. M., Easton, K., & Prestwood, R. (2023) · Sociology of Health & Illness · doi:10.1111/1467-9566.13620 · Cited by 17
Reinventing mental health care in youth through mobile approaches: Current status and future steps
Marciano, L., & Saboor, S. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1126015 · Cited by 17
Doctor Chatbot: The EUʼs Regulatory Prescription for Generative Medical AI
Hauglid, M. K., & Mahler, T. (2023) · Oslo Law Review · doi:10.18261/olr.10.1.1 · Cited by 17
Humanizing The Role of Artificial Intelligence in Revolutionizing Emotional Intelligence
Subramani, K., & Manoharan, G. (2024) · International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) · doi:10.1109/iccmso61761.2024.00056 · Cited by 19
Isaacs, N., Ntinga, X., Keetsi, T., Bhembe, L., Mthembu, B., Cloete, A., & Groenewald, C. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21020165 · Cited by 16
Exploring Effects of Chatbot's Interpretation and Self-disclosure on Mental Illness Stigma
Cui, Y., Lee, Y.-J., Jamieson, J., Yamashita, N., & Lee, Y. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637329 · Cited by 18
Nayinzira, J. P., & Adda, M. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.11.118 · Cited by 22
Bhat, R., Kowshik, S., Suresh, S., Alamelu, G., Gite, S., & Ahmad, A. (2025) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2024.104356 · Cited by 15
Esmaeilzadeh, P., Hassanein, K., & Head, M. M. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2477754 · Cited by 17
Oladimeji, K. E., Nyatela, A., Gumede, S. B., Dwarka, D., & Lalla‐Edward, S. T. (2023) · New Voices in Psychology · doi:10.25159/2958-3918/14548 · Cited by 15
Artificial Intelligence (AI) Generated Health Counseling For Mental Illness Patients
Shankar Ganesh, M., & Venkateswaramurthy, N. (2024) · Current Psychiatry Research and Reviews · doi:10.2174/0126660822277500240109050359 · Cited by 21
Kjell, O., Kjell, K., & Schwartz, H. A. (2023) · doi:10.31234/osf.io/yfd8g · Cited by 15
A new era for stress research: supporting user performance and experience in the digital age
Matthews, G., Cumings, R., Santos, E. P. D. L., Feng, I. Y., & Mouloua, S. A. (2024) · Ergonomics · doi:10.1080/00140139.2024.2425953 · Cited by 20
A chatbot for the soul: mental health care, privacy, and intimacy in AI-based conversational agents
Kneese, T., Vecchione, B., & Marwick, A. E. (2025) · Communication and Change · doi:10.1007/s44382-025-00015-y · Cited by 27
Physiological feedback technology for real-time emotion regulation: a systematic review
Sun, Y., Tian, L., Wang, X., Chen, W., Chen, S., Chen, H., & Zheng, J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1182667 · Cited by 14
Unpacking public resistance to health Chatbots: a parallel mediation analysis
Zou, X., Na, Y., Lai, K., & Liu, G. K. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1276968 · Cited by 15
Sharp, G., Dwyer, B., Xie, J., McNaney, R., Shrestha, P., Prawira, C. O., Fernando, A. N., de Boer, K., & Hu, H. (2025) · Journal of Eating Disorders · doi:10.1186/s40337-025-01225-x · Cited by 14
The rise of artificial intelligence for cognitive behavioral therapy: A bibliometric overview
Vanhée, L., Andersson, G., Garcia, D., & Sikström, S. (2025) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.70033 · Cited by 14
Stewart, I., WELCH, C. A., An, L. C., Resnicow, K., Pennebaker, J. W., & Mihalcea, R. F. (2023) · JMIR Formative Research · doi:10.2196/40277 · Cited by 15
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Hung, A. T. W. (2025) · Fudan Journal of the Humanities and Social Sciences · doi:10.1007/s40647-025-00441-8 · Cited by 13
Tan, C.-H., Koo, A. C., Rahmat, H., Siew, W. F., Cheang, A. W. O., & Sharji, E. A. (2022) · International Journal of Mental Health Promotion · doi:10.32604/ijmhp.2022.025004 · Cited by 17
Shankar, R., Bundele, A., Yap, A. E., & Mukhopadhyay, A. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1553494 · Cited by 14
Bolpagni, M., & Gabrielli, S. (2025) · Informatics · doi:10.3390/informatics12010033 · Cited by 13
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De Freitas, J., Uguralp, A. K., Uguralp, Z. O., & Stefano, P. (2024) · arXiv · doi:10.48550/arxiv.2407.19096 · Cited by 12
Albikawi, Z. F., Abuadas, M. H., & Rayani, A. M. (2025) · Healthcare · doi:10.3390/healthcare13091089 · Cited by 17
Anthropomorphism’s impact on chatbot adoption: A meta-analytic structural equation modeling approach
Zhang, F., & Sheng, D. (2025) · Technology in Society · doi:10.1016/j.techsoc.2025.103099 · Cited by 15
Naji, G. M. A., Yuan, F., Azzura, N., Danish, F. M., Ateeq, A. A., Ibrahim, S. B., Hakimi, H., Abdollah, A. B., & Iskandar, Y. H. P. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1606273 · Cited by 15
Lammers, A. F., & Bassil, K. C. (2026) · AJOB Neuroscience · doi:10.1080/21507740.2026.2649181 · Cited by 12
Facilitating Mindful Eating with a Voice Assistant
Zhang, M., Papachristos, E., & Merritt, T. R. (2023) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3571884.3604311 · Cited by 12
Wygnańska, J. (2023) · Qualitative Sociology Review · doi:10.18778/1733-8077.19.4.05 · Cited by 12
Security and Privacy Perceptions of Mental Health Chatbots
Chametka, P., Maqsood, S., & Chiasson, S. (2023) · Conference on Privacy, Security and Trust · doi:10.1109/pst58708.2023.10320174 · Cited by 12
Can a virtual human increase mindfulness and reduce stress? A randomised trial
Karhiy, M., Sagar, M. A., Antoni, M. H., Loveys, K., & Broadbent, E. (2024) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2024.100069 · Cited by 13
Chatbots in Psychology: Revolutionizing Clinical Support and Mental Health Care
de Filippis, R., & Foysal, A. A. (2024) · Voice of the Publisher · doi:10.4236/vp.2024.103025 · Cited by 16
Taher, R., Stahl, D. R., Shergill, S. S., & Yiend, J. (2024) · JMIR Human Factors · doi:10.2196/62974 · Cited by 14
Yang, F., Wei, J., Zhao, X., & An, R. (2025) · JMIR mhealth and uhealth · doi:10.2196/58597 · Cited by 15
Kuhail, M. A., Al-Shamaileh, O., Farooq, S., Shahin, H., Abdelzaher, F., & Thomas, J. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/9942295 · Cited by 11
Levkovich, I., Rabin, E., Brann, M., & Elyoseph, Z. (2024) · Digital Health · doi:10.1177/20552076241294182 · Cited by 12
Nazır, T. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2513579 · Cited by 11
Knowledge cues to human origins facilitate self-disclosure during interactions with chatbots
Warren-Smith, G., Laban, G., Pacheco, E.-M., & Cross, E. S. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100174 · Cited by 13
Ethical Issues in AI-Generated Texts: A Systematic Review and Analysis
Zhang, Y., Zhou, T., Qiao, H., & Li, T. X. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2530071 · Cited by 17
Vowels, L. M., Vowels, M. J., Sweeney, S. K., Hatch, S., & Darwiche, J. (2025) · PLOS mental health. · doi:10.1371/journal.pmen.0000411 · Cited by 11
Chatbots in Pharmacy: A Boon or a Bane for Patient Care and Pharmacy Practice?
Ramadhani, C. (2023) · Sciences of Pharmacy · doi:10.58920/sciphar02030001 · Cited by 14
Ellouze, M., & Belguith, L. H. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2272757 · Cited by 12
Ooi, P. B., & Wilkinson, G. G. (2024) · British Journal of Guidance and Counselling · doi:10.1080/03069885.2024.2373180 · Cited by 13
Fajnerová, I., Hejtmánek, L., Sedlák, M., Jablonská, M., Francová, A., & Stopková, P. (2024) · Journal of Medical Internet Research · doi:10.2196/60441 · Cited by 10
Digitale Technologien zur Verbesserung der psychischen Gesundheit
Fuhr, D. C., Wolf‐Ostermann, K., Hoel, V., & Zeeb, H. (2024) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-024-03842-4 · Cited by 12
Monaco, F., Vignapiano, A., Piacente, M., Farina, F., Pagano, C., Marenna, A., Leo, S., Vecchi, C., Mancuso, C., Prisco, V., et al. (2024) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2024.1366055 · Cited by 9
Mental Health Therapist Chatbot Using NLP
Vuyyuru, A., Praveena, T. L., Sharma, A., Yelagandula, M., & Nelli, S. (2024) · International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA) · doi:10.1109/icaiqsa64000.2024.10882362 · Cited by 9
Tuncer, G. Z., & Duman, Z. Ç. (2025) · Journal of Psychiatric and Mental Health Nursing · doi:10.1111/jpm.70000 · Cited by 9
You, C., Ghosh, R., Vilaro, M. J., Venkatakrishnan, R., Venkatakrishnan, R., Maxim, A., Peng, X., Tamboli, D. N. A., & Lok, B. C. L. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1655860 · Cited by 10
Using Nonverbal Cues in Empathic Multi-Modal LLM-Driven Chatbots for Mental Health Support MHCI039
Schmidmaier, M., Rupp, J., Harrich, C., & Mayer, S. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3743724 · Cited by 10
Yeasmin, S., Semi, M. M. A., Rony, M. K. K., Das, S., Sabeena, A. A., Rahman, R., Biswas, B., Ahmed, F., & Hossain, A. (2025) · Health Science Reports · doi:10.1002/hsr2.71703 · Cited by 18
Karhiy, M., Sagar, M. A., Antoni, M., Loveys, K., & Broadbent, E. (2023) · International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) · doi:10.1109/aciiw59127.2023.10388195 · Cited by 11
Factors influencing the adoption of chatbots by healthcare users
Bermeo-Giraldo, M. C., Patiño-Toro, O. N., Valencia-Arías, A., & Rodríguez-Correa, P. A. (2023) · Journal of Innovation Management · doi:10.24840/2183-0606_011.003_0004 · Cited by 8
Woo, J. H., Kim, E. C., & Kim, S. M. (2022) · Expert Review of Medical Devices · doi:10.1080/17434440.2022.2051479 · Cited by 8
Liu, J., Hu, J., Qi, Y., Wu, X., & Gan, Y. (2025) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2024.102964 · Cited by 8
Zhu, J., Dong, A., Wang, C., Veldhuizen, S., Abdelwahab, M., Brown, A., Selby, P. L., & Rose, J. (2025) · JMIR Formative Research · doi:10.2196/56973 · Cited by 7
Frankova, I., & Sijbrandij, M. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1586030 · Cited by 14
Chen, L. Y., Yang, L.-C., Lin, F.-Y., & Lin, Y.-H. P. (2025) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2025.151916 · Cited by 10
Digital mental health for young people: sustainably managing stress and anxiety
Chen, X., Chen, L., Song, D., Wang, Y., & Ryoo, J. (2025) · Mental Health and Digital Technologies · doi:10.1108/mhdt-01-2025-0009 · Cited by 7
Wrightson‐Hester, A., Anderson, G., Dunstan, J., McEvoy, P. M., Sutton, C., MYERS, B. J., Egan, S. J., Tai, S., Johnston-Hollitt, M., Chen, W., et al. (2025) · JMIR Formative Research · doi:10.2196/69841 · Cited by 7
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Fulmer, R., Beeson, E. T., Sheperis, C. J., Rosello, D., & Edelman, R. (2023) · Journal of Technology in Counselor Education and Supervision · doi:10.61888/2692-4129.1094 · Cited by 7
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The role of chatbots and virtual assistants in enhancing tobacco cessation counselling
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Teague, S. J., Shatte, A. B. R., Fuller‐Tyszkiewicz, M., & Hutchinson, D. M. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2502474 · Cited by 8
Olla, P., Barnes, A., Elliott, L., Abumeeiz, M., Olla, V., & Tan, J. (2025) · Computers · doi:10.3390/computers14060227 · Cited by 10
Dallison, S., Moffett, B., Makhubela, P., Nkuna, T., Pozuelo, J. R., van Heerden, A. C., & O’Mahen, H. (2025) · Journal of Medical Internet Research · doi:10.2196/73535 · Cited by 6
Zhang, W., & Lian, R. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2520937 · Cited by 7
Khan, U. Y., & Shaikh, A. (2024) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2024.58308 · Cited by 6
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Liu, I., Xiao, Y., Liu, F., Wu, S., & Ni, S. (2022) · International Symposium of Chinese CHI (Chinese CHI) · doi:10.1145/3565698.3565789 · Cited by 6
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Weber, S., Klebe, D., Wolf, L., Aeberli, C., Homan, S., Psathakis, N., Casanova, A., Macias, J. A. G., Sykstus, J., Li, J., et al. (2026) · medRxiv · doi:10.64898/2026.01.12.26343914 · Cited by 6
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Mishra, V., Mandavia, A., Adoyo, G. O., Gupta, D., & Chand, S. K. (2025) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-23724 · Cited by 8
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Sanna, L., Bolpagni, M., Fietta, V., Gavioli, G., Franzin, M., Dragoni, M., & Gabrielli, S. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-95838-0_38 · Cited by 5
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Latikka, R., Bergdahl, J., Savolainen, I., Celuch, M., & Oksanen, A. (2025) · Journal of Social and Personal Relationships · doi:10.1177/02654075251392956 · Cited by 5
Pawar, B., Mahajan, S. R., & Kolhar, S. (2025) · Discover Psychology · doi:10.1007/s44202-025-00513-6 · Cited by 6
Joy, G. V., Joy, F. E., & Nashwan, A. J. (2025) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2025.104816 · Cited by 6
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Rice, A., Klęczek, K., & Alimardani, M. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-8715-3_16 · Cited by 5
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Yadav, S. J. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9158-7.ch007 · Cited by 5
Vowels, L. M., Sweeney, S. K., & Vowels, M. J. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100141 · Cited by 6
Chen, T., & Gombay, C. (2024) · Journal of Mental Health · doi:10.1080/09638237.2024.2361234 · Cited by 5
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Gumilang, M. A., Karsanti, H. T., Linsiya, R. W., Yudanarko, K. D., Sari, L. N., Saputra, A., & Salsabila, N. Z. (2024) · International Conference on Computer, Control, Informatics and its Applications · doi:10.1109/ic3ina64086.2024.10732708 · Cited by 5
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Yang, L., Zhang, M., Jia, L., Yan, Z., & Yin, Q. (2025) · Technology in Society · doi:10.1016/j.techsoc.2025.102831 · Cited by 7
Potter, S. N., Bullard, L., Banasik, A., Feigles, R. T., Nguyen, V. H., McDuffie, A. S., Thurman, A. J., Hagerman, R. J., & Abbeduto, L. (2022) · Perspectives of the ASHA Special Interest Groups · doi:10.1044/2022_persp-22-00016 · Cited by 5
Papiernik, P., Dzula, S., Zimanyi, M., Millgate, E., Bouazzaoui, M., Buttimer, J., Warren, G., Cooper, E., Catarino, A., Mehew, S., et al. (2025) · JMIR Human Factors · doi:10.2196/76377 · Cited by 6
Danó, G., Kovács, S., & Surman, V. (2025) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2025.102985 · Cited by 6
Stefaniak, I., Gabor-Siatkowska, K., Kozłowski, M., & Janicki, A. (2026) · PLoS ONE · doi:10.1371/journal.pone.0343519 · Cited by 4
Metadata
- Authors
- Boucher, E. M., Harake, N. R., Ward, H. E., Stoeckl, S. E., Vargas, J., Minkel, J., Parks, A. C., & Zilca, R.
- Affiliations
- Happify Health, New York, NY, USA
- Corresponding author
- Boucher, Eliane M.
- ORCID
- Venue
- Expert Review of Medical Devices
- Publisher
- Informa UK Limited
- Published
- 2021-12-03
- Volume
- 18
- Issue
- sup1
- Pages
- 37-49
- ISSN
- 1743-4440 (ISSN-L)
- 1745-2422
- OpenAlex
- W4200615999
- Semantic Scholar
- f6fcfe71f09ce04594c98361f88d4e955fb8a831
- Cited by
- 440
- References
- 116
- Citations by year
- 2026: 111 · 2025: 149 · 2024: 111 · 2023: 55 · 2022: 14
- FWCI
- 40.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Expert Review of Medical Devices (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Happify Health
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- chatbots, artificial intelligence, digital mental health interventions, mental health screening, symptom management, behavior change, artificial intelligence adoption, perceptions of AI, individual differences, privacy, ethics, hyper-personalization
- MeSH terms
- Artificial Intelligence, Humans, Mental Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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