Mental healthcare chatbot based on natural language processing and deep learning approaches: ted the therapist
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A growing body of research shows that interactions with chatbots can contribute to improving users' mental health and quality of life, especially if the specific needs of the user match with chatbot capabilities.
“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 [27]
Contemporary mental health chatbots are simple frame-based systems guiding users through predesigned steps of built-in therapeutic interventions or exercises.
“Contemporary mental health chatbots are precisely such simple frame-based systems guiding users through predesigned steps of built-in therapeutic interventions or exercises (27, 34, 138).”
From Waiting for a digital therapist: three challenges on the path to psychotherapy delivered by artificial intelligence (2023) · cites this paper as [27]
Cites
ELIZA—a computer program for the study of natural language communication between man and machine
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The logic theory machine-A complex information processing system
Newell, A., & Simon, H. (1956) · IEEE Transactions on Information Theory · doi:10.1109/tit.1956.1056797 · Cited by 846 · see citing works
Designing mobile health technology for bipolar disorder
Bardram, J. E., Frost, M. M., Szántó, K., Faurholt‐Jepsen, M., Vinberg, M., & Kessing, L. V. (2013) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2481364 · Cited by 304 · see citing works
Crutzen, R., Peters, G.-J. Y., Portugal, S. D., Fisser, E. M., & Grolleman, J. J. (2011) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2010.09.002 · Cited by 205 · see citing works
Sholevar, F., Butryn, T., Bryant, L., & Marchionni, C. (2017) · International Journal of Academic Medicine · doi:10.4103/ijam.ijam_49_17 · Cited by 152 · see citing works
Koch, J., Lucero, A., Hegemann, L., & Oulasvirta, A. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300863 · Cited by 112 · see citing works
Virtual Agents as Daily Assistants for Elderly or Cognitively Impaired People
Yaghoubzadeh, R., Kramer, M., Pitsch, K., & Kopp, S. (2013) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-40415-3_7 · Cited by 98 · see citing works
Jayanthi, K., Mohan, S., & Lakshmipriya, B. (2022) · International Journal of Information Technology · doi:10.1007/s41870-022-00900-5 · Cited by 31 · see citing works
An Ontology-Based Question System for a Virtual Coach Assisting in Trauma Recollection
Tielman, M. L., van Meggelen, M., Neerincx, M. A., & Brinkman, W. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-21996-7_2 · Cited by 21 · see citing works
A smartphone-based wander management system for Bangla speaking patients with Alzheimer’s disease
Rashida, M., & Habib, M. A. (2021) · International Journal of Information Technology · doi:10.1007/s41870-021-00761-4 · Cited by 10 · see citing works
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Grodniewicz, J. P., & Hohol, M. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1190084 · Cited by 100 · see citing works
“Contemporary mental health chatbots are precisely such simple frame-based systems guiding users through predesigned steps of built-in therapeutic interventions or exercises (27, 34, 138).”
Background
- Authors
- Pandey, S., Sharma, S., & Wazir, S.
- Affiliations
- The NorthCap University (IN)
- Jamia Hamdard (IN)
- Corresponding author
- Pandey, Sumit
- Venue
- International Journal of Information Technology
- Published
- 2022-06-02
- Volume
- 14
- Issue
- 7
- Pages
- 3757-3766
- ISSN
- 2511-2104 (ISSN-L)
- 2511-2112
- OpenAlex
- W4281613392
- Cited by
- 63
- References
- 10
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 25 · 2023: 9 · 2022: 1
- FWCI
- 11.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Journal of Information Technology (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Keywords
- mental health chatbots, mental health support, question classification, natural language understanding, natural language generation, artificial neural networks, mental health stigma, mental health workforce shortage, web-based chatbot
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.
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