Cited by 24AI in Service InteractionsSocial Robot Interaction and HRIInnovative Human-Technology Interaction

AI companionship or digital entrapment? investigating the impact of anthropomorphic AI-based chatbots

Open access
Richet, Jean-Loup·2025·Journal of Innovation & Knowledge

Abstract

International audience

Integrity signals

Registry

Crossref · 10.1016/j.jik.2025.100835

Cites

37 of 37 references verified0 citation errors · 0 not checkable

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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?

  • A forum content analysis by Richet found self-reported dependency, withdrawal-like symptoms, strong anthropomorphizing of chatbots, and symptoms of depression or exhaustion related to chatbot interactions.

    “Another forum content analysis by Richet found self-reported dependency, withdrawal-like symptoms, strong anthropomorphizing of chatbots, and symptoms of depression or exhaustion related to chatbot interactions130.”

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Authors
Richet, J.-L.
Affiliations
IAE Paris - Sorbonne Business School (FR)
Corresponding author
Richet, Jean-Loup
Venue
Journal of Innovation & Knowledge
Publisher
Elsevier BV
Published
2025-11
Volume
10
Issue
6
Pages
100835
ISSN
2444-569X (ISSN-L)
OpenAlex
W4414837698
Cited by
20
References
37
Citations by year
2026: 20
FWCI
8.02
Type
journal article
Language
en
Open access
Locations
  • Journal of Innovation & Knowledge (publishedVersion, cc-by-nc-nd)
  • HAL (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
chatbots, AI companionship, human-AI interaction

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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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