Can Your Phone Be Your Therapist? Young People’s Ethical Perspectives on the Use of Fully Automated Conversational Agents (Chatbots) in Mental Health Support
Open accessAbstract
Over the last decade, there has been an explosion of digital interventions that aim to either supplement or replace face-to-face mental health services. More recently, a number of automated conversational agents have also been made available, which respond to users in ways that mirror a real-life interaction. What are the social and ethical concerns that arise from these advances? In this article, we discuss, from a young person’s perspective, the strengths and limitations of using chatbots in mental health support. We also outline what we consider to be minimum ethical standards for these platforms, including issues surrounding privacy and confidentiality, efficacy, and safety, and review three existing platforms (Woebot, Joy, and Wysa) according to our proposed framework. It is our hope that this article will stimulate ethical debate among app developers, practitioners, young people, and other stakeholders, and inspire ethically responsible practice in digital mental health.
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Full automatization can pose significant challenges when used in mental health care with youths, such as limited capacity to respond to safety-critical situations, less personalization of content, or confidentiality issues.
“However, full automatization can pose significant challenges when used in mental health care with youths, such as limited capacity to respond to safety-critical situations, less personalization of the content or confidentiality issues21,22.”
From Use of automated conversational agents in improving young population mental health: a scoping review (2024) · cites this paper as [21]
Ethical reflections and discussion on chatbots and chatbot applications are already emerging.
“Ethical reflections and discussion on chatbots and chatbot applications are already emerging (e.g. [65, 91]).”
From Future directions for chatbot research: An interdisciplinary research agenda (2021) · cites this paper as [65]
With widespread smartphone use, digital tools could function as efficient, widely available mental health resources for orthopedic clinicians to offer their patients.
“With the widespread, everyday use of smartphones, these emerging digital tools could function as efficient, widely available mental health resources for orthopedic clinicians to offer their patients [16,20-22].”
From A Digital Mental Health Intervention in an Orthopedic Setting for Patients With Symptoms of Depression and/or Anxiety: Feasibility Prospective Cohort Study (2022) · cites this paper as [16]
Digital mental health interventions address accessibility-, cost-, convenience-, and stigma-related barriers to traditional in-person mental health treatment.
“Digital mental health interventions address the accessibility-, cost-, convenience-, and stigma-related barriers to traditional in-person mental health treatment [16].”
From A Digital Mental Health Intervention in an Orthopedic Setting for Patients With Symptoms of Depression and/or Anxiety: Feasibility Prospective Cohort Study (2022) · cites this paper as [16]
The lack of comprehensive evidence for the efficacy of autonomous conversational agents in clinical populations makes on-site human support necessary.
“This in combination with the lack of comprehensive evidence for their efficacy in clinical populations makes on-site human support necessary (33).”
From Computer-assisted avatar-based treatment for dysfunctional beliefs in depressive inpatients: A pilot study (2021) · cites this paper as [33]
Application of methods from cognitive behavioral therapy addressing maladaptive cognitions in patients with mild to severe depression necessitates on-site professional support to guide treatment and rapidly react to emerging adverse effects.
“These additional insights confirm that the application of methods from cognitive behavioral therapy addressing maladaptive cognitions in patients with mild to severe depression necessitates on-site professional support to be able to guide the treatment and rapidly react to emerging adverse effects, such as an exacerbation of symptoms (33).”
From Computer-assisted avatar-based treatment for dysfunctional beliefs in depressive inpatients: A pilot study (2021) · cites this paper as [33]
CBT is seldom used due to pervasive and persistent problems with access, cost, and stigma.
“However, CBT is seldom used due to pervasive and persistent problems with access, cost, and stigma [15-18].”
From Chatbot-Delivered Cognitive Behavioral Therapy in Adolescents With Depression and Anxiety During the COVID-19 Pandemic: Feasibility and Acceptability Study (2022) · cites this paper as [18]
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Cites
Vos, T., Barber, R. M., Bell, B., Bertozzi-Villa, A., Biryukov, S., Bolliger, I., Charlson, F., Davis, A., Degenhardt, L., Dicker, D., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60692-4 · Cited by 6,414 · see citing works
Age of onset of mental disorders: a review of recent literature
Kessler, R. C., Amminger, G. P., Aguilar-Gaxiola, S., Alonso, J., Lee, S., & ??st??n, T. B. (2007) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e32816ebc8c · Cited by 3,457 · see citing works
(2004) · JAMA · doi:10.1001/jama.291.21.2581 · Cited by 3,448 · cited 1× · see citing works
“25 Even in contexts where specialised, publicly funded treatments are available, waiting lists are common in child and adolescent services.”
BackgroundGulliver, A., Griffiths, K. M., & Christensen, H. (2010) · BMC Psychiatry · doi:10.1186/1471-244x-10-113 · Cited by 3,292 · see citing works
Mental health of young people: A global public-health challenge
Patel, V., Flisher, A. J., Hetrick, S., & McGorry, P. (2007) · The Lancet · doi:10.1016/s0140-6736(07)60368-7 · Cited by 3,126 · see citing works
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017) · JMIR Mental Health · doi:10.2196/mental.7785 · Cited by 2,730 · cited 5× · see citing works
“This is not surprising for Woebot because it was developed to integrate the evidence-based recommendations for mental health app development, 10 which include ‘encouraging non-technology-based activities’.”
BackgroundInfluentialYoung People’s Help-Seeking for Mental Health Problems
Rickwood, D., Deane, F. P., Wilson, C. J., & Ciarrochi, J. (2005) · Australian e-Journal for the Advancement of Mental Health · doi:10.5172/jamh.4.3.218 · Cited by 1,619 · see citing works
Demirci, K., Akgönül, M., & Akpinar, A. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.010 · Cited by 1,529 · see citing works
Internet-Based and Other Computerized Psychological Treatments for Adult Depression: A Meta-Analysis
Andersson, G., & Cuijpers, P. (2009) · Cognitive Behaviour Therapy · doi:10.1080/16506070903318960 · Cited by 1,368 · see citing works
Facebook and Online Privacy: Attitudes, Behaviors, and Unintended Consequences
Debatin, B., Lovejoy, J. P., Horn, A.-K., & Hughes, B. N. (2009) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2009.01494.x · Cited by 1,271 · see citing works
When and how do young people seek professional help for mental health problems?
Rickwood, D. J., Deane, F. P., & Wilson, C. J. (2007) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2007.tb01334.x · Cited by 1,195 · see citing works
Adherence in Internet Interventions for Anxiety and Depression
Christensen, H., Griffiths, K. M., & Farrer, L. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1194 · Cited by 1,133 · see citing works
Inkster, B., Sarda, S., & Subramanian, V. (2018) · doi:10.2196/preprints.12106 · Cited by 1,063 · see citing works
It's only a computer: virtual humans increase willingness to disclose
Lucas, G. M., Gratch, J., King, A., & Morency, L.-P. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.04.043 · Cited by 977 · cited 1× · see citing works
“36 Finally, if effective, e-Mental Health services may represent the less daunting bridge to getting professional help.”
BackgroundMental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments
Bakker, D., Kazantzis, N., Rickwood, D., & Rickard, N. (2016) · JMIR Mental Health · doi:10.2196/mental.4984 · Cited by 886 · see citing works
Cell-phone addiction: a review
De-Sola Gutiérrez, J., Rodríguez de Fonseca, F., & Rubio, G. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00175 · Cited by 722 · see citing works
Social-psychological factors affecting help-seeking for emotional problems
Rickwood, D. J., & Braithwaite, V. A. (1994) · Social Science & Medicine · doi:10.1016/0277-9536(94)90099-x · Cited by 583 · see citing works
Internet use and stigmatized illness
Berger, M., Wagner, T. H., & Baker, L. C. (2005) · Social Science & Medicine · doi:10.1016/j.socscimed.2005.03.025 · Cited by 547 · see citing works
Ebert, D. D., Zarski, A.-C., Christensen, H., Stikkelbroek, Y., Cuijpers, P., Berking, M., & Riper, H. (2015) · PLOS ONE · doi:10.1371/journal.pone.0119895 · Cited by 533 · see citing works
Mental Health Mobile Apps for Preadolescents and Adolescents: A Systematic Review.
Grist, R., Porter, J., & Stallard, P. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7332 · Cited by 518 · see citing works
Hamm, M. P., Newton, A. S., Chisholm, A., Shulhan, J., Milne, A., Sundar, P., Ennis, H., Scott, S. D., & Hartling, L. (2015) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2015.0944 · Cited by 449 · cited 1× · see citing works
“51 Furthermore, we also find it possible that online platforms could cause further isolation of people who are struggling and so they might represent a step back-wards in their mental health journey.”
BackgroundKessler, D., Lewis, G., Kaur, S., Wiles, N., King, M., Weich, S., Sharp, D. J., Araya, R., Hollinghurst, S., & Peters, T. J. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61257-5 · Cited by 387 · see citing works
McCrone, P., Knapp, M., Proudfoot, J., Ryden, C., Cavanagh, K., Shapiro, D. A., Ilson, S., Gray, J. A., Goldberg, D., Mann, A., et al. (2004) · British Journal of Psychiatry · doi:10.1192/bjp.185.1.55 · Cited by 371 · cited 1× · see citing works
“28 Beyond structural barriers, young people are often reluctant to access mental health treatment due to social and self-stig-matising attitudes to mental health interventions.”
BackgroundLy, K. H., Ly, A.-M., & Andersson, G. (2017) · Internet Interventions · doi:10.1016/j.invent.2017.10.002 · Cited by 368 · see citing works
Availability and quality of mobile health app privacy policies
Sunyaev, A., Dehling, T., Taylor, P. L., & Mandl, K. D. (2015) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-002605 · Cited by 360 · see citing works
Arnberg, F. K., Linton, S. J., Hultcrantz, M., Heintz, E., & Jonsson, U. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098118 · Cited by 330 · see citing works
Computers, Phones, and the InternetDomesticating Information Technology
Kraut, R. E., Brynin, M., & Kiesler, S. B. (2006) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195312805.001.0001 · Cited by 306 · see citing works
UK children go online: surveying the experiences of young people and their parents
Bober, M., & Livingstone, S. (2004) · e-space (Manchester Metropolitan University) · Cited by 289 · see citing works
Baker, D. A., & Algorta, G. P. (2016) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2016.0206 · Cited by 286 · cited 1× · see citing works
“In addition, although we are aware that the positive and negative effects that social media might have on people’s mental health still needs further exploration, 50 online platforms do sometimes contribute to the development of mental health difficulties in the first place.”
BackgroundThe internet as a setting for mental health service utilisation by young people
Burns, J. M., Davenport, T. A., Durkin, L. A., Luscombe, G. M., & Hickie, I. B. (2010) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2010.tb03688.x · Cited by 257 · see citing works
Adolescent Opinions About Reducing Help-Seeking Barriers and Increasing Appropriate Help Engagement
Wilson, C. J., & Deane, F. P. (2001) · Journal of Educational and Psychological Consultation · doi:10.1207/s1532768xjepc1204_03 · Cited by 222 · see citing works
How to increase reach and adherence of web-based interventions: a design research viewpoint
Ludden, G. D., van Rompay, T. J., Kelders, S. M., & van Gemert-Pijnen, J. E. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4201 · Cited by 185 · see citing works
Anderson, J. K., Howarth, E., Vainre, M., Jones, P., & Humphrey, A. (2017) · Children and Youth Services Review · doi:10.1016/j.childyouth.2017.04.017 · Cited by 184 · see citing works
Demographic Differences in Adolescents' Health Concerns and Perceptions of Helping Agents
Dubow, E. F., Lovko, K. R., & Kausch, D. F. (1990) · Journal of Clinical Child Psychology · doi:10.1207/s15374424jccp1901_6 · Cited by 176 · see citing works
Trust, choice and power in mental health
Laugharne, R. A., & Priebe, S. (2006) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-006-0123-6 · Cited by 155 · see citing works
Medical research: If depression were cancer
Ledford, H. K. (2014) · Nature · doi:10.1038/515182a · Cited by 111 · see citing works
Adelman, C. B., Panza, K. E., Bartley, C. A., Bontempo, A., & Bloch, M. H. (2014) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.13r08894 · Cited by 75 · see citing works
A health app developer’s guide to law and policy: a multi-sector policy analysis
Parker, L., Karliychuk, T., Gillies, D., Mintzes, B., Raven, M., & Grundy, Q. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0535-0 · Cited by 71 · see citing works
Christensen, H. M., Reynolds, J., & Griffiths, K. M. (2011) · Early Intervention in Psychiatry · doi:10.1111/j.1751-7893.2010.00242.x · Cited by 70 · see citing works
Lining Up for Children's Mental Health Services: A Tool for Prioritizing Waiting Lists
Smith, D. H., & Hadorn, D. C. (2002) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200204000-00007 · Cited by 67 · see citing works
What kind of adults will our children become? The impact of growing up in a media-saturated world
Wartella, E. A., Beaudoin‐Ryan, L., Blackwell, C. K., Cingel, D. P., Hurwitz, L. B., & Lauricella, A. R. (2016) · Journal of Children and Media · doi:10.1080/17482798.2015.1124796 · Cited by 55 · see citing works
Baumel, A., & Schueller, S. M. (2016) · JMIR Mental Health · doi:10.2196/mental.5335 · Cited by 41 · cited 1× · see citing works
“For patients who seek face-to-face help first, mental health apps may still be recommended by mental health professionals as a supplement to therapy, 3 or as a form of intermediate support while on the waiting list.”
BackgroundSelf-help robots drive blues away
Sachan, D. (2018) · The Lancet Psychiatry · doi:10.1016/s2215-0366(18)30230-x · Cited by 40 · see citing works
Results from a trial of an unsupported internet intervention for depressive symptoms
Leykin, Y., Muñoz, R. F., Contreras, O., & Latham, M. D. (2014) · Internet Interventions · doi:10.1016/j.invent.2014.09.002 · Cited by 34 · see citing works
Consent and engagement, security, and authentic living using wearable and mobile health technology
Kreitmair, K., Cho, M. K., & Magnus, D. C. (2017) · Nature Biotechnology · doi:10.1038/nbt.3887 · Cited by 28 · see citing works
An evaluation of Samaritans telephone and email emotional support service
Pollock, K., Armstrong, S., Coveney, C. M., & Moore, J. (2010) · University of Warwick · doi:10.82444/warw.33666484 · Cited by 19 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [19]Khan L Parsonage M Stubbs J Investing in children’s mental health: a review of evidence on the costs and benefits of increased service provision. https://www.crisiscareconcordat.org.uk/wp-content/uploads/2015/02/investing_in_childrens_mental_health.pdf. Up-dated 2015.
- [35]West JS Kayser L Overton P Saltmarsh R. Student perceptions that inhibit the initiation of counseling. Sch Couns. 1991; 39: 77– 83.
Cited by
Sorted by citations
My Chatbot Companion - a Study of Human-Chatbot Relationships
Skjuve, M., Følstad, A., Fostervold, K. I., & Brandtzaeg, P. B. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2021.102601 · Cited by 797 · see citing works
“…and that users tend to feel safer self-disclosing with chatbots than they would with human conversational partners (Brandtzaeg and F ø lstad, 2018; Lee et al., 2020), particularly when they fear judgemental responses to their disclosure (Ho et al., 2018; Kretzschmar et al., 2019; Ta et al., 2020).”
BackgroundArtificially intelligent chatbots in digital mental health interventions: a review
Boucher, E. M., Harake, N. R., Ward, H. E., Stoeckl, S. E., Vargas, J., Minkel, J., Parks, A. C., & Zilca, R. (2021) · Expert Review of Medical Devices · doi:10.1080/17434440.2021.2013200 · Cited by 440 · see citing works
Haque, M. D. R., & Rubya, S. (2023) · JMIR mHealth and uHealth · doi:10.2196/44838 · Cited by 404 · see citing works
Laestadius, L., Bishop, A., Gonzalez, M., Illenčík, D., & Campos-Castillo, C. (2024) · New Media & Society · doi:10.1177/14614448221142007 · Cited by 420 · see citing works
Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review (Preprint)
Laymouna, M., Ma, Y., Lessard, D., Schuster, T., Engler, K., & Lebouché, B. (2024) · doi:10.2196/preprints.56930 · Cited by 302 · see citing works
Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review
Laymouna, M., Ma, Y., Lessard, D., Schuster, T., Engler, K., & Lebouché, B. (2024) · Journal of Medical Internet Research · doi:10.2196/56930 · Cited by 305 · see citing works
From promise to practice: towards the realisation of AI-informed mental health care
Koutsouleris, N., Hauser, T. U., Skvortsova, V., & De Choudhury, M. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00153-4 · Cited by 251 · see citing works
Chatbots: Security, privacy, data protection, and social aspects
Hasal, M., Nowaková, J., Ahmed Saghair, K., Abdulla, H., Snášel, V., & Ogiela, L. (2021) · Concurrency and Computation: Practice and Experience · doi:10.1002/cpe.6426 · Cited by 249 · see citing works
Future directions for chatbot research: An interdisciplinary research agenda
Følstad, A., Araujo, T., Law, E. L.-C., Brandtzaeg, P. B., Papadopoulos, S., Reis, L., Baez, M., Laban, G., McAllister, P., Ischen, C., et al. (2021) · Computing · doi:10.1007/s00607-021-01016-7 · Cited by 247 · see citing works
Digital Mental Health for Young People: A Scoping Review of Ethical Promises and Challenges
Wies, B., Landers, C., & Ienca, M. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.697072 · Cited by 242 · see citing works
A Mental Health Chatbot for Regulating Emotions (SERMO) - Concept and Usability Test
Denecke, K., Vaaheesan, S., & Arulnathan, A. (2020) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2020.2974478 · Cited by 240 · see citing works
Conversational Artificial Intelligence in Psychotherapy: A New Therapeutic Tool or Agent?
Sedláková, J., & Trachsel, M. (2022) · The American Journal of Bioethics · doi:10.1080/15265161.2022.2048739 · Cited by 265 · see citing works
To chat or bot to chat: Ethical issues with using chatbots in mental health
Coghlan, S., Leins, K., Sheldrick, S., Cheong, M., Gooding, P., & D’Alfonso, S. (2023) · Digital Health · doi:10.1177/20552076231183542 · Cited by 247 · see citing works
Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review
Rahsepar Meadi, M., Sillekens, T., Metselaar, S., van Balkom, A., Bernstein, J., & Batelaan, N. (2025) · JMIR Mental Health · doi:10.2196/60432 · Cited by 211 · see citing works
Chatbots and mental health: Insights into the safety of generative <scp>AI</scp>
De Freitas, J., Uğuralp, A. K., Oğuz‐Uğuralp, Z., & Puntoni, S. (2024) · Journal of Consumer Psychology · doi:10.1002/jcpy.1393 · Cited by 211 · see citing works
Artificial Intelligence for Chatbots in Mental Health: Opportunities and Challenges
Denecke, K., Abd-Alrazaq, A., & Househ, M. (2021) · Lecture Notes in Bioengineering · doi:10.1007/978-3-030-67303-1_10 · Cited by 177 · see citing works
Sweeney, C., Potts, C., Ennis, E., Bond, R., Mulvenna, M. D., O’Neill, S. M., Malcolm, M., Kuosmanen, L., Kostenius, C., Vakaloudis, A., et al. (2021) · ACM Transactions on Computing for Healthcare · doi:10.1145/3453175 · Cited by 173 · see citing works
Bauer, M., Glenn, T., Geddes, J., Gitlin, M., Grof, P., Kessing, L. V., Monteith, S., Faurholt-Jepsen, M., Severus, E., & Whybrow, P. C. (2020) · International Journal of Bipolar Disorders · doi:10.1186/s40345-019-0164-x · Cited by 163 · see citing works
Potential and Pitfalls of Mobile Mental Health Apps in Traditional Treatment: An Umbrella Review
Koh, J., Tng, G. Y. Q., & Hartanto, A. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12091376 · Cited by 155 · see citing works
Artificial intelligence and mobile apps for mental healthcare: a social informatics perspective
Gamble, A. (2020) · Aslib Journal of Information Management · doi:10.1108/ajim-11-2019-0316 · Cited by 149 · see citing works
Security and Privacy of mHealth Applications: A Scoping Review
Nurgalieva, L., O'Callaghan, D., & Doherty, G. (2020) · IEEE Access · doi:10.1109/access.2020.2999934 · Cited by 132 · see citing works
Young people’s advisory groups in health research: scoping review and mapping of practices
Sellars, E., Pavarini, G., Michelson, D., Creswell, C., & Fazel, M. S. (2020) · Archives of Disease in Childhood · doi:10.1136/archdischild-2020-320452 · Cited by 132 · see citing works
Self-citationNicol, G., Wang, R., Graham, S., Dodd, S., & Garbutt, J. (2022) · JMIR Formative Research · doi:10.2196/40242 · Cited by 123 · see citing works
Investigating managers' understanding of chatbots in the Korean financial industry
Jang, M., Jung, Y., & Kim, S. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106747 · Cited by 130 · see citing works
Implementation of Cognitive Behavioral Therapy in e–Mental Health Apps: Literature Review
Denecke, K., Schmid, N., & Nüssli, S. (2022) · Journal of Medical Internet Research · doi:10.2196/27791 · Cited by 107 · see citing works
Co‐producing research with youth: The NeurOx young people's advisory group model
Pavarini, G., Lorimer, J., Manzini, A., Goundrey‐Smith, E., & Singh, I. (2019) · Health Expectations · doi:10.1111/hex.12911 · Cited by 102 · see citing works
Self-citationImplementing Ethics in Healthcare AI-Based Applications: A Scoping Review
Goirand, M., Austin, E., & Clay-Williams, R. (2021) · Science and Engineering Ethics · doi:10.1007/s11948-021-00336-3 · Cited by 101 · see citing works
The health risks of generative AI-based wellness apps
De Freitas, J., & Cohen, I. G. (2024) · Nature Medicine · doi:10.1038/s41591-024-02943-6 · Cited by 95 · see citing works
The Digital Therapeutic Alliance and Human-Computer Interaction
D'Alfonso, S., Lederman, R., Bucci, S., & Berry, K. (2020) · JMIR Mental Health · doi:10.2196/21895 · Cited by 90 · see citing works
Chung, K., Cho, H. Y., & Park, J. Y. (2020) · JMIR Medical Informatics · doi:10.2196/18607 · Cited by 94 · see citing works
Malik, T., Ambrose, A. J., & Sinha, C. (2022) · JMIR Human Factors · doi:10.2196/35668 · Cited by 83 · see citing works
Conversational AI: Social and Ethical Considerations.
Ruane, E., Birhane, A., & Ventresque, A. (2019) · AICS · Cited by 81 · see citing works
Terra, M., Baklola, M. I., Ali, S. A. A., & El-Bastawisy, K. (2023) · The Egyptian Journal of Neurology Psychiatry and Neurosurgery · doi:10.1186/s41983-023-00681-z · Cited by 77 · see citing works
Leo, A. J., Schuelke, M. J., Hunt, D. M., Metzler, J. P., Miller, J. P., Areán, P. A., Armbrecht, M. A., & Cheng, A. L. (2022) · JMIR Formative Research · doi:10.2196/34889 · Cited by 70 · see citing works
Scholich, T., Barr, M., Wiltsey Stirman, S., & Raj, S. (2025) · JMIR Mental Health · doi:10.2196/69709 · Cited by 72 · see citing works
Adikari, A., de Silva, D., Moraliyage, H., Alahakoon, D., Wong, J., Gancarz, M., Chackochan, S., Park, B., Heo, R., & Leung, Y. (2022) · Future Generation Computer Systems · doi:10.1016/j.future.2021.08.015 · Cited by 71 · see citing works
Ng, M., Coopamootoo, K., Toreini, E., Aitken, M., Elliot, K., & van Moorsel, A. (2020) · IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) · doi:10.1109/eurospw51379.2020.00034 · Cited by 90 · see citing works
Acoustic and language analysis of speech for suicidal ideation among US veterans
Belouali, A., Gupta, S., Sourirajan, V., Yu, J., Allen, N. J., Alaoui, A., Dutton, M. A., & Reinhard, M. J. (2021) · BioData Mining · doi:10.1186/s13040-021-00245-y · Cited by 67 · see citing works
Zafar, F., Alam, L. F., Vivas, R. R., Wang, J., Whei, S. J., Mehmood, S., Sadeghzadegan, A., Lakkimsetti, M., & Nazir, Z. (2024) · Cureus · doi:10.7759/cureus.56472 · Cited by 74 · see citing works
Arpacı, İ. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3339578 · Cited by 62 · see citing works
Vilaza, G. N., & McCashin, D. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.689736 · Cited by 60 · see citing works
The digital therapeutic Alliance: prospects and considerations
Lederman, R., & D'Alfonso, S. (2021) · JMIR Mental Health · doi:10.2196/31385 · Cited by 56 · see citing works
Teepe, G. W., Fonseca, A. D., Kleim, B., Jacobson, N. C., Salamanca-Sanabria, A., Car, L. T., Fleisch, E., & Kowatsch, T. (2021) · Journal of Medical Internet Research · doi:10.2196/29412 · Cited by 60 · see citing works
Hu, J., Huang, Y., Hu, X., & Xu, Y. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2022.3205919 · Cited by 61 · see citing works
Validity of Chatbot Use for Mental Health Assessment: Experimental Study
Schick, A., Feine, J., Morana, S., Maedche, A., & Reininghaus, U. (2022) · JMIR mhealth and uhealth · doi:10.2196/28082 · Cited by 71 · see citing works
Möllmann, N. R. J., Mirbabaie, M., & Stieglitz, S. (2021) · Health Informatics Journal · doi:10.1177/14604582211052391 · Cited by 61 · see citing works
Lee, H. S., Wright, C., Ferranto, J., Buttimer, J., Palmer, C. E., Welchman, A., Mazor, K. M., Fisher, K. A., Smelson, D., O’Connor, L., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1505024 · Cited by 55 · see citing works
Kornfield, R., Meyerhoff, J., Studd, H., Bhattacharjee, A., Williams, J. J., Reddy, M. C., & Mohr, D. C. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502046 · Cited by 55 · see citing works
Chan, C. K. Y. (2025) · Behavioral Sciences · doi:10.3390/bs15030287 · Cited by 68 · see citing works
Use of automated conversational agents in improving young population mental health: a scoping review
Balan, R., Dobrean, A., & Poetar, C. R. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01072-1 · Cited by 56 · see citing works
“However,fullautomatizationcan pose signi fi cant challenges when used in mental health care with youths, such as limited capacity to respond to safety-critical situations, less personalization of the content or con fi dentiality issues 21,22 .”
Hipgrave, L., Goldie, J., Dennis, S. J., & Coleman, A. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1606291 · Cited by 54 · see citing works
Capability Sensitive Design for Health and Wellbeing Technologies
Jacobs, N. (2020) · Science and Engineering Ethics · doi:10.1007/s11948-020-00275-5 · Cited by 52 · see citing works
Malhotra, G., Waheed, A., Srivastava, A., Akhtar, M. S., & Chakraborty, T. (2022) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/3488560.3498509 · Cited by 51 · see citing works
Huseynov, F. (2023) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-6684-7735-9.ch003 · Cited by 58 · see citing works
MacNeill, A. L., Doucet, S. A., & Luke, A. (2024) · JMIR Formative Research · doi:10.2196/50025 · Cited by 64 · see citing works
Kiuchi, K., Otsu, K., & Hayashi, Y. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2286528 · Cited by 50 · see citing works
Racial mirroring effects on human-agent interaction in psychotherapeutic conversations
Liao, Y., & He, J. (2020) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3377325.3377488 · Cited by 48 · see citing works
Yeh, P.-L., Kuo, W.-C., Tseng, B.-L., & Sung, Y.-H. (2025) · Current Psychology · doi:10.1007/s12144-025-07359-0 · Cited by 47 · see citing works
Moylan, K., & Doherty, K. (2025) · Journal of Medical Internet Research · doi:10.2196/67114 · Cited by 46 · see citing works
Ethics of AI in healthcare: a scoping review demonstrating applicability of a foundational framework
Gorelik, A. J., Li, M., Hahne, J., Wang, J., Ren, Y., Yang, L., Zhang, X., Liu, X., Wang, X., Bogdan, R., et al. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1662642 · Cited by 48 · see citing works
Is big data the new stethoscope? Perils of digital phenotyping to address mental illness
Tekin, Ş. (2021) · Philosophy & Technology · doi:10.1007/s13347-020-00395-7 · Cited by 44 · see citing works
Xygkou, A., Siriaraya, P., She, W. J., Covaci, A., & Ang, C. S. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2292880 · Cited by 50 · see citing works
Manole, A., Cârciumaru, R., Brînzaș, R., & Manole, F. (2024) · Information · doi:10.3390/info15120768 · Cited by 52 · see citing works
Translational Neuroethics: A Vision for a More Integrated, Inclusive, and Impactful Field
Wexler, A., & Sullivan, L. S. (2021) · AJOB Neuroscience · doi:10.1080/21507740.2021.2001078 · Cited by 43 · see citing works
Eis, S., Solà-Morales, O., Duarte‐Díaz, A., Vidal‐Alaball, J., Perestelo‐Pérez, L., Robles, N., & Carrión, C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19042186 · Cited by 42 · see citing works
Alhasani, M., Mulchandani, D., Oyebode, O., Baghaei, N., & Orji, R. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.777567 · Cited by 42 · see citing works
The Use of AI-Supported Chatbot in Psychology
Uludağ, K. (2025) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-3112-5.ch001 · Cited by 41 · see citing works
Bots as Active News Promoters: A Digital Analysis of COVID-19 Tweets
Al‐Rawi, A., & Shukla, V. (2020) · Information · doi:10.3390/info11100461 · Cited by 39 · see citing works
Lin, A., & Espay, A. J. (2021) · Epilepsy & Behavior Reports · doi:10.1016/j.ebr.2021.100469 · Cited by 38 · see citing works
Ding, X., Shang, B., Xie, C., Xin, J., & Yu, F. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04564-x · Cited by 40 · see citing works
Mauriello, M. L., Tantivasadakarn, N., Mora-Mendoza, M. A., Lincoln, E. T., Hon, G., Nowruzi, P., Simon, D., Hansen, L., Goenawan, N. H., Kim, J., et al. (2021) · JMIR Formative Research · doi:10.2196/25294 · Cited by 35 · see citing works
Bhattacharjee, A., Williams, J. J., Meyerhoff, J., Kumar, H., Mariakakis, A. T., & Kornfield, R. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580774 · Cited by 34 · see citing works
Petersen, A. R., Tanner, C., & Munsie, M. (2019) · Health An Interdisciplinary Journal for the Social Study of Health Illness and Medicine · doi:10.1177/1363459319847505 · Cited by 32 · see citing works
Artificial intelligence in genetic services delivery: Utopia or apocalypse?
Kearney, E., Wojcik, A., & Babu, D. (2019) · Journal of Genetic Counseling · doi:10.1002/jgc4.1192 · Cited by 34 · see citing works
Potential of Mobile Technology to Relieve the Urgent Mental Health Needs in China: Web-Based Survey
Tan, Y., Teng, Z., Qiu, Y., Tang, H., Xiang, H., & Chen, J. (2020) · JMIR mhealth and uhealth · doi:10.2196/16215 · Cited by 32 · see citing works
Gupta, M., Malik, T., & Sinha, C. (2022) · JMIR Research Protocols · doi:10.2196/36910 · Cited by 34 · see citing works
Bowie-DaBreo, D., Sas, C., Iles‐Smith, H., & Sünram‐Lea, S. I. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517498 · Cited by 36 · see citing works
Damij, N., & Bhattacharya, S. D. (2022) · IEEE Technology and Engineering Management Conference (TEMSCON) · doi:10.1109/temsconeurope54743.2022.9801962 · Cited by 34 · see citing works
Bhattacharjee, A., Williams, J. J., Chou, K., Tomlinson, J., Meyerhoff, J., Mariakakis, A. T., & Kornfield, R. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555123 · Cited by 29 · see citing works
Eltahawy, L., Essig, T., Myszkowski, N., & Trub, L. R. (2023) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2023.100035 · Cited by 33 · see citing works
Schillings, C., Meißner, E., Erb, B., Bendig, E., Schultchen, D., & Pollatos, O. (2024) · JMIR Mental Health · doi:10.2196/50454 · Cited by 44 · see citing works
Karizat, N., Vinson, A., Parthasarathy, S., & Andalibi, N. (2024) · Proc. ACM Hum. Comput. Interact. · doi:10.1145/3637383 · Cited by 26 · see citing works
Lee, Y., Yamashita, N., & Huang, Y. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449196 · Cited by 29 · see citing works
#anxiety: A multimodal discourse analysis of narrations of anxiety on TikTok
Mordecai, C. (2023) · Computers & composition/Computers and composition · doi:10.1016/j.compcom.2023.102763 · Cited by 31 · see citing works
Ollier, J., Neff, S., Dworschak, C., Sejdiji, A., Santhanam, P., Keller, R., Xiao, G., Asisof, A., Rüegger, D., Bérubé, C., et al. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.625640 · Cited by 28 · see citing works
Deep Learning Mental Health Dialogue System
Brocki, L., Dyer, G. C., Gładka, A., & Chung, N. C. (2023) · 2023 IEEE International Conference on Big Data and Smart Computing (BigComp) · doi:10.1109/bigcomp57234.2023.00097 · Cited by 28 · see citing works
Babu, A., & Joseph, A. P. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1581779 · Cited by 26 · see citing works
Maciejewski, J., & Smoktunowicz, E. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100653 · Cited by 26 · see citing works
Bowie-DaBreo, D., Sünram‐Lea, S. I., Sas, C., & Iles‐Smith, H. (2020) · JMIR Formative Research · doi:10.2196/14988 · Cited by 26 · see citing works
Gambino, A., & Liu, B. (2022) · Human-Machine Communication · doi:10.30658/hmc.4.6 · Cited by 25 · see citing works
Puspitasari, I. W., Rinawan, F. R., Purnama, W. G., Susiarno, H., & Susanti, A. I. (2022) · Informatics · doi:10.3390/informatics9040088 · Cited by 31 · see citing works
Park, J., Singh, V. K., & Wiśniewski, P. (2024) · JMIR Medical Informatics · doi:10.2196/62758 · Cited by 24 · see citing works
AI-Led Mental Health Support (Wysa) for Health Care Workers During COVID-19: Service Evaluation
Chang, C. L., Sinha, C., Roy, M., & Wong, J. C. M. (2024) · JMIR Formative Research · doi:10.2196/51858 · Cited by 27 · see citing works
Zhang, R., Li, H., Chen, A., Liu, Z., & Lee, Y.-C. (2024) · Social Media + Society · doi:10.1177/20563051241290845 · Cited by 23 · see citing works
Roles of artificial intelligence in wellness, healthy living, and healthy status sensing
Cho, P. J., Singh, K., & Dunn, J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-821259-2.00009-0 · Cited by 23 · see citing works
Human-Computer Interaction, Ethics, and Biomedical Informatics
Hochheiser, H., & Valdez, R. S. (2020) · Yearbook of Medical Informatics · doi:10.1055/s-0040-1701990 · Cited by 24 · see citing works
CivicBots – Chatbots for Supporting Youth in Societal Participation
Väänänen, K., Hiltunen, A., Varsaluoma, J., & Pietilä, I. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-39540-7_10 · Cited by 22 · see citing works
O’Leary, A., Lahey, T., Lovato, J. L., Loftness, B. C., Douglas, A., Skelton, J. A., Cohen, J. G., Copeland, W., McGinnis, R. S., & McGinnis, E. W. (2024) · Sensors · doi:10.3390/s24103214 · Cited by 24 · see citing works
Conversational Agents for Mental Health and Wellbeing
Callejas, Z., & Griol, D. (2021) · Logic, argumentation & reasoning · doi:10.1007/978-3-030-61438-6_11 · Cited by 22 · see citing works
Chatbots in the Field of Mental Health: Challenges and Opportunities
Viduani, A. C., Cosenza, V., Araújo, R., & Kieling, C. (2023) · Springer eBooks · doi:10.1007/978-3-031-10698-9_8 · Cited by 22 · see citing works
- Authors
- Kretzschmar, K., Tyroll, H., Pavarini, G., Manzini, A., Singh, I., & NeurOx Young People’s Advisory Group
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Pavarini, Gabriela
- Venue
- Biomedical Informatics Insights
- Publisher
- SAGE Publications
- Published
- 2019-01
- Volume
- 11
- Pages
- 1178222619829083-1178222619829083
- ISSN
- 1178-2226 (ISSN-L)
- PMC
- PMC6402067
- OpenAlex
- W2920018355
- Cited by
- 270
- References
- 46
- Citations by year
- 2026: 31 · 2025: 49 · 2024: 37 · 2023: 47 · 2022: 37 · 2021: 33 · 2020: 32 · 2019: 4
- FWCI
- 29.94
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Biomedical Informatics Insights (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- wellcome trust (104825/Z/14/Z, 203329/Z/16/Z, 203132/Z/16/Z)
- national institute for health research (IS-BRC-1215-20005)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- chatbots, digital mental health, youth, ethics, privacy and confidentiality, treatment efficacy and safety, Woebot, joy, Wysa, moral norms, mental health apps
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