The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Pilot randomised controlled trial of Help4Mood, an embodied virtual agent-based system to support treatment of depression
Open accessAbstract
Introduction: Help4Mood is an interactive system with an embodied virtual agent (avatar) to assist in self-monitoring of patients receiving treatment for depression. Help4Mood supports self-report and biometric monitoring and includes elements of cognitive behavioural therapy. We aimed to evaluate system use and acceptability, to explore likely recruitment and retention rates in a clinical trial and to obtain an estimate of potential treatment response with a view to conducting a future randomised controlled trial (RCT). Methods: We conducted a pilot RCT of Help4Mood in three centres, in Romania, Spain and Scotland, UK. Patients with diagnosed depression (major depressive disorder) and current mild/moderate depressive symptoms were randomised to use the system for four weeks in addition to treatment as usual (TAU) or to TAU alone. Results: Twenty-seven individuals were randomised and follow-up data were obtained from 21 participants (12/13 Help4Mood, 9/14 TAU). Half of participants randomised to Help4Mood used it regularly (more than 10 times); none used it every day. Acceptability varied between users. Some valued the emotional responsiveness of the system, while others found it too repetitive. Intention to treat analysis showed a small difference in change of Beck Depression Inventory II (BDI-2) scores (Help4Mood –5.7 points, TAU –4.2). Post-hoc on-treatment analysis suggested that participants who used Help4Mood regularly experienced a median change in BDI-2 of –8 points. Conclusion: Help4Mood is acceptable to some patients receiving treatment for depression although none used it as regularly as intended. Changes in depression symptoms in individuals who used the system regularly reached potentially meaningful levels.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Only 1 study, a pilot RCT, recruited participants from clinician caseloads or registers [28].”
From Conversational agents in the treatment of mental health problems: mixed-method systematic review (2019) · cites this paper as [28]
In the citing paper
“Generally, greater engagement with the conversational agent resulted in greater reductions in psychological distress [22,26,28,29,33].”
From Conversational agents in the treatment of mental health problems: mixed-method systematic review (2019) · cites this paper as [28]
In the citing paper
“Finally, the 2 uncontrolled studies included in the review [22,29] and 2 studies that did not test for between-group effects [28,30] reported reductions in depression [28-30] and loneliness [22] postintervention.”
From Conversational agents in the treatment of mental health problems: mixed-method systematic review (2019) · cites this paper as [28]
In the citing paper
“Remarkably, the only study that reported difficulties in recruiting participants relied on clinicians to refer patients to the study [28].”
From Conversational agents in the treatment of mental health problems: mixed-method systematic review (2019) · cites this paper as [28]
In the citing paper
“Controlled studies with active control conditions (eg, another conversational agent or human psychological therapy) failed to demonstrate superior effects [24,27,28].”
From Conversational agents in the treatment of mental health problems: mixed-method systematic review (2019) · cites this paper as [28]
In the citing paper
“Participants reported that they liked the ability to customize the gender and appearance of ECAs [28] and the option to tailor the session length to their own needs [28].”
From Conversational agents in the treatment of mental health problems: mixed-method systematic review (2019) · cites this paper as [28]
In the citing paper
“The predominant challenges to intervention with a conversational agent included repetitive content [22,25,26,28,29,33], limitations in the agents ability to understand or respond appropriately [22,25,26,29], a shallow or superficial relationship [28,33], the sound and quality of the agents voice [32], and specific intervention tools or content [25,29].”
From Conversational agents in the treatment of mental health problems: mixed-method systematic review (2019) · cites this paper as [28]
In the citing paper
“A randomized controlled trial was conducted to evaluate Help4Mood [66]. Twenty-eight depressed patients were recruited and randomized into two treatment groups: Help4Mood and TAU.”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [66]
In the citing paper
“patients in the TAU group achieved greater clinical improvement compared to patients who used the application”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [66]
In the citing paper
“regular users were more likely to obtain greater clinical improvement compared to users with low compliance”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [66]
In the citing paper
“Outcome measures, which included the Beck Depression Inventory (BDI) and Quick Inventory of Depressive Symptomatology—Self Report (QIDS-SR), indicated reduced symptoms in both samples.”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [66]
In the citing paper
“Burton et al. (52), for example, also found that their embodied CA could serve as an adjunct for cognitive therapy.”
From Computer-assisted avatar-based treatment for dysfunctional beliefs in depressive inpatients: A pilot study (2021) · cites this paper as [52]
Citations
Cites
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910
Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L)
Herdman, M., Gudex, C., Lloyd, A., Janssen, M., Kind, P., Parkin, D., Bonsel, G., & Badia, X. (2011) · Quality of Life Research · doi:10.1007/s11136-011-9903-x · Cited by 9,795 · cited 1×
“At baseline and four weeks participants completed the BDI-2;(16) the Quick Inventory of Depressive Symptoms-Self-Report (QIDS-SR);(17) Dysfunctional Attitude Scale-Short Form 2 (DASSF2),(18) a measure of common negative cognitions) and the EQ-5D-5L generic quality of life measure.(19)”
MethodBeck, A. T., Steer, R. A., & Brown, G. (2011) · PsycTESTS Dataset · doi:10.1037/t00742-000 · Cited by 7,535
Rush, A. J., Trivedi, M. H., Ibrahim, H. M., Carmody, T. J., Arnow, B., Klein, D. N., Markowitz, J. C., Ninan, P. T., Kornstein, S., Manber, R., et al. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01866-8 · Cited by 3,829
The size and burden of mental disorders and other disorders of the brain in Europe 2010
Wittchen, H. U., Jacobi, F., Rehm, J., Gustavsson, A., Svensson, M., Jönsson, B., Olesen, J., Allgulander, C., Alonso, J., Faravelli, C., et al. (2011) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2011.07.018 · Cited by 3,754
Ferrari, A. J., Charlson, F. J., Norman, R. E., Patten, S. B., Freedman, G., Murray, C. J. L., Vos, T., & Whiteford, H. A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001547 · Cited by 3,115
Computer-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
Sobocki, P., Jönsson, B., Angst, J., & Rehnberg, C. (2006) · PubMed · Cited by 533
Internet-based psychological treatments for depression
Johansson, R., & Andersson, G. (2012) · Expert Review of Neurotherapeutics · doi:10.1586/ern.12.63 · Cited by 509
Wiles, N., Thomas, L., Abel, A., Ridgway, N., Turner, N., Campbell, J., Garland, A., Hollinghurst, S., Jerrom, B., Kessler, D., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61552-9 · Cited by 340 · cited 3×
“1Centre of Academic Primary Care, University of Aberdeen, UK 2Department of Clinical Psychology and Psychotherapy, Babes-Bolyai University, Romania 3Centre for Population Health Sciences, University of Edinburgh, UK 4School of Informatics, University of Edinburgh, UK 5Department of Psychology, Babes-Bolyai University,…”
Influential
Research works printed but not linked: 4
- Sobocki P, 2006, J Ment Health Policy Econ, 9, 87
- Pagliari C, 2012, Stud Health Technol Inform, 181, 329
- Burton C, 2012, Int J Integr Care, 12; 4
- Wolters M, Burton C, Matheson C, et al. Help4Mood–supporting joint sense making in the treatment of major depressive disorder. In: Proceedings of the Workshop on Interactive Systems in Healthcare (WISH) , Washington DC, November 2013.
Cited by
Sorted by citations
Naslund, J. A., Aschbrenner, K. A., Araya, R., Marsch, L. A., Unützer, J., Patel, V., & Bartels, S. J. (2017) · The Lancet Psychiatry · doi:10.1016/s2215-0366(17)30096-2 · Cited by 638
Automated assessment of psychiatric disorders using speech: A systematic review
Low, D. M., Bentley, K. H., & Ghosh, S. (2020) · Laryngoscope Investigative Otolaryngology · doi:10.1002/lio2.354 · Cited by 545
Abd-Alrazaq, A. A., Rababeh, A., Alajlani, M., Bewick, B. M., & Househ, M. (2020) · Journal of Medical Internet Research · doi:10.2196/16021 · Cited by 503
“Half of the included studies (6/12) examined the effect of using chatbots on the severity of depression [27-32].”
Artificially 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
The WPA-Lancet psychiatry commission on the future of psychiatry
Bhugra, D., Tasman, A., Pathare, S., Priebe, S., Smith, S., Torous, J., Arbuckle, M. R., Langford, A., Alarcón, R. D., Chiu, H. F. K., et al. (2017) · The Lancet Psychiatry · doi:10.1016/s2215-0366(17)30333-4 · Cited by 392
Fu, Z., Burger, H., Arjadi, R., & Bockting, C. L. H. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30256-x · Cited by 336
Perceptions and opinions of patients about mental health chatbots: scoping review
Abd-Alrazaq, A. A., Alajlani, M., Ali, N., Denecke, K., Bewick, B. M., & Househ, M. (2021) · Journal of Medical Internet Research · doi:10.2196/17828 · Cited by 301
Conversational agents in the treatment of mental health problems: mixed-method systematic review
Gaffney, H., Mansell, W., & Tai, S. (2019) · JMIR Mental Health · doi:10.2196/14166 · Cited by 275
Liu, H., Peng, H., Song, X., Xu, C., & Zhang, M. (2022) · Internet Interventions · doi:10.1016/j.invent.2022.100495 · Cited by 296
“Previous randomized controlled trials (Burton et al., 2016; Shinichiro et al., 2018) validated the efficacy of psychological treatments delivered by embodied agents.”
BackgroundHe, Y., Yang, L., Qian, C., Li, T., Su, Z., Zhang, Q., & Hou, X. (2023) · Journal of Medical Internet Research · doi:10.2196/43862 · Cited by 213
Colombo, D., Fernández-Álvarez, J., Patané, A., Semonella, M., Kwiatkowska, M., García-Palacios, A., Cipresso, P., Riva, G., & Botella, C. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8040465 · Cited by 194
He, Y., Yang, L., Zhu, X., Wu, B., Zhang, S., Qian, C., & Tian, T. (2022) · Journal of Medical Internet Research · doi:10.2196/40719 · Cited by 178
Zhong, W., Luo, J., & Zhang, H. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.04.057 · Cited by 224
Dogan, E., Sander, C., Wagner, X., Hegerl, U., & Kohls, E. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7006 · Cited by 177
Lim, S. M., Shiau, C. W. C., Cheng, L. J., & Lau, Y. (2022) · Behavior Therapy · doi:10.1016/j.beth.2021.09.007 · Cited by 163
Technical metrics used to evaluate health care chatbots: scoping review
Abd-Alrazaq, A., Safi, Z., Alajlani, M., Warren, J., Househ, M., & Denecke, K. (2020) · Journal of Medical Internet Research · doi:10.2196/18301 · Cited by 150
Evidence-Based Evaluation of eHealth Interventions: Systematic Literature Review
Enam, A., Torres-Bonilla, J., & Eriksson, H. (2018) · Journal of Medical Internet Research · doi:10.2196/10971 · Cited by 162
Hornstein, S., Zantvoort, K., Lueken, U., Funk, B., & Hilbert, K. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1170002 · Cited by 134
Arjadi, R., Nauta, M. H., Scholte, W. F., Hollon, S. D., Chowdhary, N., Suryani, A. O., Uiterwaal, C. S. P. M., & Bockting, C. (2018) · The Lancet Psychiatry · doi:10.1016/s2215-0366(18)30223-2 · Cited by 128
Chatbots to Support Young Adults’ Mental Health: An Exploratory Study of Acceptability
Koulouri, T., Macredie, R. D., & Olakitan, D. (2022) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3485874 · Cited by 127
Massoudi, B., Holvast, F., Bockting, C. L. H., Burger, H., & Blanker, M. H. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.11.050 · Cited by 101
A systematic review on automated clinical depression diagnosis
Mao, K., Wu, Y., & Chen, J. (2023) · npj Mental Health Research · doi:10.1038/s44184-023-00040-z · Cited by 106
Huq, S. M., Maskeliūnas, R., & Damaševičius, R. (2022) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2022.2146768 · Cited by 85
Chatbot features for anxiety and depression: a scoping review
Ahmed, A., Hassan, A., Aziz, S., Abd-alrazaq, A. A., Ali, N., Alzubaidi, M., Al-Thani, D., Elhusein, B., Siddig, M. A., Ahmed, M., et al. (2023) · Health Informatics Journal · doi:10.1177/14604582221146719 · Cited by 82
Martínez-Miranda, J., Martínez, A., Ramos, R., Aguilar, H., Jiménez, L., Arias, H., Rosales, G., & Valencia, E. (2019) · Journal of Medical Systems · doi:10.1007/s10916-019-1387-1 · Cited by 79
Ebert, D. D., Harrer, M., Apolinário-Hagen, J., & Baumeister, H. (2019) · Advances in Experimental Medicine and Biology · doi:10.1007/978-981-32-9721-0_29 · Cited by 76
Ahern, E., Kinsella, S., & Semkovska, M. (2017) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1080/14737167.2018.1407245 · Cited by 75
Wagenaar, B. H., Hammett, W. H., Jackson, C., Atkins, D. L., Belus, J. M., & Kemp, C. G. (2020) · Cambridge Prisms Global Mental Health · doi:10.1017/gmh.2020.1 · Cited by 74
Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis
Chattopadhyay, D., Ma, T., Sharifi, H., & Martyn-Nemeth, P. A. (2020) · Journal of Medical Internet Research · doi:10.2196/18839 · Cited by 66
Amugongo, L. M., Kriebitz, A., Boch, A., & Lütge, C. (2025) · AI and Ethics · doi:10.1007/s43681-023-00331-3 · Cited by 68
Li, Y., Liang, S., Zhu, B., Liu, X., Li, J., Chen, D., Qin, J., & Bressington, D. T. (2023) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2023.104494 · Cited by 80
Jabir, A. I., Lin, X., Martinengo, L., Sharp, G., Theng, Y. L., & Car, L. T. (2023) · Journal of Medical Internet Research · doi:10.2196/48168 · Cited by 75
Jabir, A. I., Martinengo, L., Lin, X., Torous, J., Subramaniam, M., & Tudor Car, L. (2023) · Journal of Medical Internet Research · doi:10.2196/44548 · Cited by 63
“%) included embodied CAs [24,29-31, 39,43-50 43-50], 11 (”
Human-Human vs Human-AI Therapy: An Empirical Study
Kuhail, M. A., Alturki, N. M., Thomas, J., Alkhalifa, A. K., & Alshardan, A. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2385001 · Cited by 80
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 62
Acceptability of Digital Mental Health Interventions for Depression and Anxiety: Systematic Review
Lau, C. K. Y., Saad, A., Camara, B., Rahman, D., & Bolea-Alamanac, B. (2024) · Journal of Medical Internet Research · doi:10.2196/52609 · Cited by 51
Embodied Conversational Agents for Chronic Diseases: Scoping Review
Jiang, Z., Huang, X., Wang, Z., Liu, Y., Huang, L., & Luo, X. (2023) · Journal of Medical Internet Research · doi:10.2196/47134 · Cited by 57
Martínez-Miranda, J. (2017) · Journal of Medical Systems · doi:10.1007/s10916-017-0784-6 · Cited by 51
Martinengo, L., Jabir, A. I., Goh, W. W. T., Lo, N. Y. W., Ho, M. R., Kowatsch, T., Atun, R. A., Michie, S., & Car, L. T. (2022) · Journal of Medical Internet Research · doi:10.2196/39243 · Cited by 54
Wahle, F., Bollhalder, L., Kowatsch, T., & Fleisch, E. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7381 · Cited by 48
Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing
Steenstra, I., Nouraei, F., Arjmand, M., & Bickmore, T. (2024) · ACM International Conference on Intelligent Virtual Agents (IVA) · doi:10.1145/3652988.3673932 · Cited by 48
Burger, F., Neerincx, M. A., & Brinkman, W. (2019) · Journal of Medical Internet Research · doi:10.2196/12599 · Cited by 49
Bastiaansen, J. A., Ornée, D. A., Meurs, M., & Oldehinkel, A. J. (2020) · Psychological Medicine · doi:10.1017/s0033291720004845 · Cited by 45
Virtual Humans in Health-Related Interventions: A Meta-Analysis
Ma, T., Sharifi, H., & Chattopadhyay, D. (2019) · Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290607.3312853 · Cited by 37
Stroud, A. M., Curtis, S., Weir, I. B., Stout, J., Barry, B. A., Bobo, W. V., Athreya, A. P., & Sharp, R. R. (2025) · JMIR Mental Health · doi:10.2196/64414 · Cited by 44
Tongpeth, J., Du, H., Barry, T., & Clark, R. A. (2019) · Journal of Advanced Nursing · doi:10.1111/jan.14210 · Cited by 36
Cevasco, K. E., Morrison Brown, R. E., Woldeselassie, R., & Kaplan, S. (2024) · Journal of Medical Systems · doi:10.1007/s10916-024-02059-x · Cited by 35
Myin‐Germeys, I., Schick, A., Ganslandt, T., Hajdúk, M., Heretik, A., Hoyweghen, I. V., Kiekens, G., Koppe, G., Marelli, L., Nagyová, I., et al. (2024) · Psychological Medicine · doi:10.1017/s0033291724001454 · Cited by 38
Self-citationLeong, Q. Y., Sridhar, S., Blasiak, A., Tadeo, X., Yeo, G., Remus, A., & Ho, D. (2021) · Journal of Medical Internet Research · doi:10.2196/27388 · Cited by 39
Gupta, M., Malik, T., & Sinha, C. (2022) · JMIR Research Protocols · doi:10.2196/36910 · Cited by 37
Aboye, G. T., Vande Walle, M., Simegn, G. L., & Aerts, J.-M. (2023) · Digital Health · doi:10.1177/20552076231180972 · Cited by 31
Tongpeth, J., Du, H., & Clark, R. A. (2018) · Journal of Clinical Nursing · doi:10.1111/jocn.14528 · Cited by 31
Mitsea, E., Drigas, A. S., & Skianis, C. A. (2024) · Psych · doi:10.3390/psych6010019 · Cited by 43
Mouchabac, S., Maatoug, R., Conejero, I., Adrien, V., Bonnot, O., Millet, B., Ferreri, F., & Bourla, A. (2021) · Brain Sciences · doi:10.3390/brainsci11111454 · Cited by 33
The Emotional Work of Doing eHealth Research
Wolters, M. K., Mkulo, Z., & Boynton, P. (2017) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3027063.3052764 · Cited by 27
Self-citationConversational agents for depression screening: A systematic review
Otero-González, I., Pacheco-Lorenzo, M. R., Iglesias, M. J. F., & Anido, L. (2023) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2023.105272 · Cited by 26
Cihodaru-Ștefanache, Ș., & Podina, I. R. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1625984 · Cited by 28
Automated Assessment of Psychiatric Disorders Using Speech: A Systematic ReviewPreprint
Low, D. M., Bentley, K. H., & Ghosh, S. (2019) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/5pwze · Cited by 30
Chan, M., Jiang, Y., Lee, C. Y. C., Ramachandran, H. J., Teo, J. Y. C., Seah, C. W. A., Lin, Y., & Wang, W. (2022) · Journal of Clinical Nursing · doi:10.1111/jocn.16212 · Cited by 20
Could Avatar Therapy Enhance Mental Health in Chronic Patients? A Systematic Review
Franco, M., Monfort-Vinuesa, C., Mesa, A. P., & Rincón, E. (2021) · Electronics · doi:10.3390/electronics10182212 · Cited by 23
Lau, Y., Ang, W. H. D., Ang, W. W., Pang, P. C., Wong, S. H., & Chan, K. S. (2025) · Depression and Anxiety · doi:10.1155/da/8930012 · Cited by 31
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 23
Adam, R., Bond, C. M., Burton, C. D., de Bruin, M., & Murchie, P. (2020) · Supportive Care in Cancer · doi:10.1007/s00520-020-05510-0 · Cited by 21
Self-citationEvaluating a Digital Mental Health Intervention (Wysa) for Workers’ Compensation Claimants
Iglesias, M., Sinha, C., Vempati, R., Grace, S. E., Roy, M., Chapman, W. C., & Rinaldi, M. L. (2022) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0000000000002762 · Cited by 26
Fadipe, M., Aggarwal, S. S., Johnson, C., & Beauchamp, J. E. S. (2023) · Journal of Psychiatric and Mental Health Nursing · doi:10.1111/jpm.12924 · Cited by 24
Process model of emotion regulation-based digital intervention for emotional problems
Qu, D., Liu, D., Cai, C., Zhang, X., Yu, J., Zhang, Q., Liu, K., Wei, Z., Tan, J., Cui, Z., et al. (2023) · Digital Health · doi:10.1177/20552076231187476 · Cited by 20
Conversational Interfaces for Health: Bibliometric Analysis of Grants, Publications, and Patents
Xing, Z., Yu, F., Du, J., Walker, J. S., Paulson, C. B., Mani, N. S., & Song, L. (2019) · Journal of Medical Internet Research · doi:10.2196/14672 · Cited by 19
Depression intervention using AI chatbots with social cues: a randomized trial of effectiveness
Xu, S., & Ma, T. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119760 · Cited by 23
Avatar and virtual agent-assisted telecare for patients in their homes: A scoping review
Winkler, A., Kutschar, P., Pitzer, S., van der Zee‐Neuen, A., Kerner, S., Osterbrink, J., & Krutter, S. (2023) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x231174484 · Cited by 17
The Impact of Virtual Humans on Psychosomatic Medicine
Loveys, K., Sagar, M. A., Antoni, M. H., & Broadbent, E. (2023) · Psychosomatic Medicine · doi:10.1097/psy.0000000000001227 · Cited by 18
Chen, T. H., Chu, G., Pan, R.-H., & Ma, W. (2025) · Expert Review of Medical Devices · doi:10.1080/17434440.2025.2466742 · Cited by 16
Kocur, M., Dechant, M., Wolff, C., Nothdurfter, C., Wetter, T. C., Rupprecht, R., & Shiban, Y. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.608997 · Cited by 15
Kian, M., Zong, M., Fischer, K., Singh, A., Velentza, A.-M., O'Connell, A., Ignatova, L., Sang, P., Upadhyay, S., Gupta, A., et al. (2026) · Frontiers in Robotics and AI · doi:10.3389/frobt.2026.1802622 · Cited by 52
Kian, M., Zong, M., Fischer, K., Singh, A., Velentza, A.-M., O'Connell, A., Ignatova, L., Sang, P., Upadhyay, S., Gupta, A., et al. (2024) · arXiv · doi:10.48550/arxiv.2402.17937 · Cited by 15
Mancone, S., Diotaiuti, P., Valente, G., Corrado, S., Bellizzi, F., Vilarino, G. T., & Andrade, A. (2023) · Behavioral Sciences · doi:10.3390/bs13070550 · Cited by 14
Massoudi, B., Blanker, M. H., van Valen, E., Wouters, H., Bockting, C., & Burger, H. (2017) · BMC Psychiatry · doi:10.1186/s12888-017-1376-1 · Cited by 15
Amer, N. A., Abdelrazek, S., Eladrosy, W., El-bakry, H., & Shohieb, S. M. (2024) · International Journal of Cognitive Therapy · doi:10.1007/s41811-024-00225-0 · Cited by 12
A conversational agent framework for mental health screening: design, implementation, and usability
Boian, R., Bucur, A.-M., Todea, D., Luca, A., Rebedea, T. E., & Podina, I. R. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2332934 · Cited by 14
Yang, Q., Cheung, K., Zhang, Y., Zhang, Y., Qin, J., & Xie, Y. J. (2024) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2024.104991 · Cited by 12
Three Questions to Consider Before Applying Ecological Momentary Interventions (EMI) in Psychiatry
Gründahl, M., Deckert, J., & Hein, G. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00333 · Cited by 11
A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions
Park, M. S., Upama, P. B., Anik, A. A., Ahamed, S. I., Luo, J., Tian, S., Rabbani, M., & Oh, H. (2023) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac57700.2023.00162 · Cited by 14
Zhang, L., Gallagher, R. D., Du, H., Barry, T., Foote, J. W., Ellis, T., Gulyani, A., & Clark, R. A. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2025.105818 · Cited by 10
Future Research Directions for REBT
David, D. O., Matu, S. A., Podina, I. R., & Predatu, R. (2019) · Springer eBooks · doi:10.1007/978-3-319-93118-0_6 · Cited by 10
Self-citationUsing 3D and 4D digital human modeling in extended reality-based rehabilitation: a systematic review
Lu, M., Saeys, W., Maryam, M., Gjeleshi, I., Nazarahari, H., Truijen, S., & Scataglini, S. (2025) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2025.1496168 · Cited by 11
Chatbots and robots: a framework for the self-management of occupational stress
Yorita, A., Egerton, S. J., Chan, C. K. Y., Flower, R., & Kubota, N. (2023) · ROBOMECH Journal · doi:10.1186/s40648-023-00261-z · Cited by 13
Ashrafi, N., Neuhaus, V., Vona, F., Peperkorn, N., Shiban, Y., & Voigt‐Antons, J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-60428-7_1 · Cited by 9
Buschner, A., Makiol, C., Huang, J., Mauche, N., & Strauß, M. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.02.104 · Cited by 10
keivanlou, N., Babaieasl, F., Jamali, J., Baghyari, S., Dalir, Z., & Davoudi, N. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-12756-z · Cited by 6
Niiberg-Pikksööt, T., Laas, K., Aluoja, A., & Braschinsky, M. (2024) · PLOS Digital Health · doi:10.1371/journal.pdig.0000295 · Cited by 8
Digital Technology, Including Telemedicine, in the Management of Mental Illness
Naslund, J. A., Bartels, S. M., & Marsch, L. A. (2019) · Wiley eBooks · doi:10.1002/9781119282686.ch29 · Cited by 6
Six, S., Schlesener, E. A., Hill, V., Babu, S. V., & Byrne, K. A. (2025) · JMIR Mental Health · doi:10.2196/67381 · Cited by 12
Digital Companions for Well-being: Challenges and Opportunities
Nieves, J. C., Osorio, M., Rojas-Velázquez, D., Magallanes, Y., & Brännström, A. (2024) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-219336 · Cited by 5
A Conditional Companion: Lived Experiences of People with Mental Health Disorders Using LLMs
Purohit, A. K., & Heuer, H. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791763 · Cited by 7
Allan, D. D. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2259500 · Cited by 3
Virtual Agents in DTx: Focusing on Usability and Therapeutic Effectiveness
Jeong, H., Yoo, J. H., Goh, M., & Song, H. (2023) · Electronics · doi:10.3390/electronics13010014 · Cited by 4
He, Y., Yang, L., Zhu, X., Wu, B., Zhang, S., Qian, C., & Tian, T. (2022) · doi:10.2196/preprints.40719 · Cited by 3
Digital Humans for Depression Assessment and Intervention Support: Scoping Review
Cao, J., Gao, W., Wen, R., Li, C., Hoermann, S., Baghaei, N., & Billinghurst, M. (2025) · JMIR Mental Health · doi:10.2196/79954 · Cited by 3
A systematic review on mindfulness-based immersive interventions in depressive disorders
Tan, P., Wu, Y., Chen, X., Chen, J., Guo, Z., Lu, X., Chen, J., & Zhang, H. (2026) · npj Mental Health Research · doi:10.1038/s44184-026-00205-6 · Cited by 3
Peperkorn, N., Ohse, J., Fox, J., Kuhlencord, M., Grevenhaus, C. J., Krutzki, J., Witthöft, M., & Shiban, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-96228-8 · Cited by 4
Hayashi, Y., & Kiuchi, K. (2024) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3610978.3640733 · Cited by 2
Metadata
- Authors
- Burton, C., Szentagotai Tatar, A., McKinstry, B., Matheson, C., Matu, S., Moldovan, R., Macnab, M., Farrow, E., David, D., Pagliari, C., Serrano Blanco, A., Wolters, M., & for the Help4Mood Consortium
- Affiliations
- University of Aberdeen (GB)
- Department of Clinical Psychology and Psychotherapy, Babes-Bolyai University, Romania
- University of Edinburgh (GB)
- Babeș-Bolyai University (RO)
- Parc Sanitari San Joan De Deu, Spain
- ORCID
- Venue
- Journal of Telemedicine and Telecare
- Publisher
- SAGE Publications
- Published
- 2016-07-09
- Volume
- 22
- Issue
- 6
- Pages
- 348-355
- ISSN
- 1357-633X (ISSN-L)
- 1758-1109
- OpenAlex
- W2184155438
- Cited by
- 125
- References
- 25
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 19 · 2023: 23 · 2022: 13 · 2021: 7 · 2020: 11 · 2019: 12 · 2018: 4 · 2017: 8
- FWCI
- 6.51
- Type
- journal article
- Language
- en
- Open access
- Locations
- Journal of Telemedicine and Telecare (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Funders
- Engineering and Physical Sciences Research Council (EP/J017728/1, EP/J017728/2)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- depression, self-monitoring, cognitive behavioral therapy, major depressive disorder, treatment acceptability, system use, biometric monitoring, Beck Depression Inventory, digital mental health interventions
- MeSH terms
- Adolescent, Adult, Depression, Female, Humans, Male, Middle Aged, Pilot Projects, Psychiatric Status Rating Scales, Surveys and Questionnaires, Romania, Scotland, Spain, User-Computer Interface, Cognitive Behavioral Therapy, Patient Satisfaction, Telemedicine, Decision Support Systems, Clinical, Young Adult
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
