Cited by 7

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

RETRACTED ARTICLE: Utilizing artificial intelligence to enhance social connections – the alleviating effect of emotionally intelligent chatbots on loneliness

Lu, Xinyuan, Guo, Wan·2026·Disability and Rehabilitation: Assistive Technology

Abstract

We, the Editor-in-Chief and Publisher of Disability and Rehabilitation: Assistive Technology , have retracted the following articles, which were published as part of a planned Special Issue titled "AI empowered Assistive Technology" and edited by Uzair Aslam Bhatti: Liu, Y., & Long, T. (2025). How does social media shape the duration of formal care for disabled elderly? Moderating effects based on digital competence and psychological expectancy. Disability and Rehabilitation: Assistive Technology , 20 (7), 2146-2159. https://doi.org/10.1080/17483107.2025.2525539Lu, X., & Guo, W. (2025). Utilizing artificial intelligence to enhance social connections - the alleviating effect of emotionally intelligent chatbots on loneliness. Disability and Rehabilitation: Assistive Technology , 1-11. https://doi.org/10.1080/17483107.2025.2540494Xuanfeng, D. (2025). Gesture recognition and response system for special education using computer vision and human-computer interaction technology. Disability and Rehabilitation: Assistive Technology , 1-18. https://doi.org/10.1080/17483107.2025.2527226Ren, H., Lv, J., Ren, L., & Guo, R. (2025). Optimizing the spatial allocation of pension resources in downtown Shanghai: a dynamically updated genetic algorithm approach. Disability and Rehabilitation: Assistive Technology , 1-14. https://doi.org/10.1080/17483107.2025.2536173Kadiyala, B., Nippatla, R. P., Boyapati, S., Vasamsetty, C., Alavilli, S. K., & M, T. (2025). Prevention and health care interventio…

Overview

Integrity signals

Registry

Crossref · 10.1080/17483107.2025.2540494This paper is marked retracted.

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Research on Replika suggests reductions in loneliness and social anxiety, improvements in well-being, self-confidence, relationship satisfaction, and in some cases support in moments of suicidal ideation.

    “Research focusing on Replika, for example, suggests reductions in loneliness and social anxiety (Lu & Guo, 2025;De Freitas et al., 2025;Skjuve et al., 2021), improvements in well-being, self-confidence, relationship satisfaction (Ta et al., 2020;Guingrich & Graziano, 2024;Mariott & Pitardi, 2024), and in some cases support in moments of suicidal ideation (Maples et al., 2024).”
  • A growing number of studies document the mental health benefits of companion AI systems, particularly regarding the positive effects of companionship and self-disclosure.

    “However, a growing number of studies document the mental health benefits of companion AI systems, particularly regarding the positive effects of companionship and selfdisclosure.”

Citations

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1 retracted

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Metadata

Authors
Lu, X., & Guo, W.
Venue
Disability and Rehabilitation: Assistive Technology
Published
2025-08-01
Volume
21
Issue
3
ISSN
  • 1748-3107
  • 1748-3115
Cited by
7
References
5
Language
en
Status
Retracted
Funders
National Social Science Found of China (23AGL040)

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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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