Cited by 177Digital Mental Health InterventionsArtificial Intelligence in Healthcare and EducationSocial Robot Interaction and HRI

Artificial Intelligence for Chatbots in Mental Health: Opportunities and Challenges

Denecke, Kerstin, Abd-Alrazaq, Alaa, Househ, Mowafa·2021·Lecture Notes in Bioengineering

Integrity signals

Registry

Crossref · 10.1007/978-3-030-67303-1_10

Cites

56 of 56 references verified0 citation errors · 0 not checkable

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  • There is initial evidence that chatbots may be effective in reducing depressive and anxiety symptoms, as well as stress.

    “There is initial evidence that such chatbots may be effective in reducing depressive and anxiety symptoms, as well as stress [33-36].”

Cites

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Research works printed but not linked: 1

  1. Abd-alrazaq AA, Alajlani M, Ali N, Denecke N, Bewickd BM, Househ M (2020a) Patients’ attitudes toward using chatbots for mental health: scoping review. J Med Internet Res

Cited by

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Authors
Denecke, K., Abd-Alrazaq, A., & Househ, M.
Affiliations
  • Bern University of Applied Sciences (CH)
  • Hamad bin Khalifa University (QA)
Corresponding author
Denecke, Kerstin
Venue
Lecture Notes in Bioengineering
Published
2021
Pages
115-128
ISSN
  • 2195-271X (ISSN-L)
  • 2195-2728
OpenAlex
W3187751556
Cited by
177
References
54
Citations by year
2026: 23 · 2025: 77 · 2024: 46 · 2023: 25 · 2022: 3 · 2021: 2
FWCI
127.39
Type
book chapter
Language
en
Open access
closed
Locations
  • Lecture notes in bioengineering (publishedVersion)
  • ARBOR - Bern University of Applied Sciences Repository (submittedVersion)
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, mental health, artificial intelligence, natural language understanding, psychoeducation, medication adherence, therapeutic relationship, ethical considerations, digital mental health interventions

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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.

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