Cited by 0Social Robot Interaction and HRIAttachment and Relationship DynamicsEthics and Social Impacts of AI

The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index; 7 of the 74 sources its claims cite were checked for support.

When loneliness amplifies the risk of problematic emotional dependence: perceived anthropomorphism and basic psychological need satisfaction in AI companion use

Open access
Liu, Ting, Shih, Ruey-ming, Luo, Tingyun, Jin, Shining·2026·Frontiers in Psychology

Abstract

Background: Companion-oriented conversational AI can be experienced as socially responsive, yet evidence about problematic reliance requires construct clarity and noncausal interpretation. This study examined whether perceived anthropomorphism was associated with problematic AI-companion dependence directly and indirectly through basic psychological need satisfaction. Methods: A cross-sectional online survey was completed by 666 adults in China who reported using a listed AI companion or conversational AI product during the preceding month. The nonclinical outcome was operationalized with six indicators spanning impaired control, distress, continued use, perceived understanding, emotion-regulation reliance, and displacement of offline communication. Measurement evidence was examined using reliability estimates, one-factor confirmatory models, and HTMT. Standardized composite-score regressions used HC3 robust standard errors, and the indirect association was evaluated with 5,000 bootstrap samples. Results: Perceived anthropomorphism was positively associated with need satisfaction ( β = 0.569, p < 0.001). In the outcome model, need satisfaction ( β = 0.317, p < 0.001) and perceived anthropomorphism ( β = 0.385, p < 0.001) were both positively associated with problematic dependence. The standardized indirect association was 0.180 (95% bootstrap CI [0.137, 0.229]); R 2 was 0.323 for need satisfaction and 0.389 for problematic dependence. Conclusion: The pattern is consistent with a need-satisfaction account of companion-oriented AI use, but the cross-sectional design does not establish temporal ordering, substitution, or causality. Design and policy implications should therefore focus on transparency, user agency, and safeguards against escalating reliance rather than treating anthropomorphism itself as inherently harmful.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In a cross-sectional survey of 666 adults in China using AI companions, perceived anthropomorphism was positively associated with basic psychological need satisfaction and with a nonclinical measure of problematic emotional dependence, partly via need satisfaction. Loneliness moderated the indirect association in the full sample, but this moderation did not replicate among users of five named companion/character platforms.

Key findings

  • Perceived anthropomorphism was positively associated with basic psychological need satisfaction (β = 0.569, p < 0.001), and need satisfaction was positively associated with problematic emotional dependence (β = 0.317, p < 0.001); perceived anthropomorphism also retained a direct association with problematic emotional dependence (β = 0.385, p < 0.001).
  • The standardized indirect association from perceived anthropomorphism to problematic emotional dependence through need satisfaction was 0.180 (95% bootstrap CI [0.137, 0.229]); R² was 0.323 for need satisfaction and 0.389 for problematic dependence.
  • In the full sample, the need satisfaction × loneliness interaction was positive (β = 0.086, p = 0.005), with conditional indirect estimates of 0.132 at low loneliness, 0.181 at mean loneliness, and 0.230 at high loneliness; the index was 0.049 (95% bootstrap CI [0.016, 0.084]).
  • The loneliness moderation was platform-contingent: among the five named companion/character platforms, the pooled interaction was smaller and nonsignificant (N = 583, β = 0.057, p = 0.083, 95% CI [−0.007, 0.121]), and its conditional-indirect index included zero. An exploratory attachment-anxiety model showed a parallel moderation pattern (AA × NS β = 0.084, p = 0.006; index = 0.048, 95% CI [0.015, 0.084]).

Methods

  • Cross-sectional online survey conducted through Wenjuanxing from February to April 2026; 802 questionnaires were collected, 136 invalid responses were excluded, and 666 valid responses from adults in China who reported using a listed AI companion or conversational AI product during the preceding month were analyzed (effective response rate 83.0%). Recruitment was nonprobabilistic via AI companion user communities on Weibo and Xiaohongshu.
  • Measures used seven-point Likert items: perceived anthropomorphism (6 adapted items), basic psychological need satisfaction (6 adapted items), problematic emotional dependence (6 nonclinical items), loneliness (6 adapted UCLA Loneliness Scale items), and attachment anxiety (6 adapted ECR/ECR-R items, exploratory alternative moderator).
  • Analysis used SmartPLS 4.0 for reliability, convergent validity, and HTMT discriminant validity; PLS-SEM with 5,000 bootstrap resamples for structural paths and indirect effects; standardized composite-score regressions with HC3 robust standard errors; PROCESS-style moderation and moderated mediation; and ten-fold cross-validation for PED indicators.

Limitations

  • The paper states that the cross-sectional design cannot establish temporal order or causal mediation, and that reverse and reciprocal associations are plausible; longitudinal panel and experimental designs are needed.
  • The paper states that all focal variables were self-reported in one survey, so shared method, evaluative tone, and semantic overlap may inflate associations even when HTMT is below conventional cutoffs.
  • The paper states that the Chinese context and platform ecology limit generalizability, and that cross-cultural replication should measure rather than presume cultural mechanisms. The text also makes evident that the sample is nonprobabilistic and cannot be treated as nationally representative, and that the moderation finding is platform-contingent and requires replication.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.3389/fpsyg.2026.1900817

Cites

70 of 70 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

7 of 74 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured

Show all 29 claims

  • It may state two separate claims as one. 49
  • Probably not a substantial claim. 38
75 of 75
  • The authors state this as an assumption.

    Loneliness is not caused by AI companion use.

    “Loneliness | Perceived insufficiency of offline social connection | Moderator; not assumed to be caused by AI use”
  • The paper relies on this without support.

    Loneliness represents perceived insufficiency of social connection, whereas attachment anxiety represents concern about rejection and relational availability.

    “Attachment anxiety was selected as an alternative moderator because it represents concern about rejection and relational availability, whereas loneliness represents perceived insufficiency of social connection.”
  • The paper relies on this without support.

    The five named companion/character platforms constitute a dedicated/character-platform subgroup.

    “Crucially, the loneliness interaction was absent in the dedicated/character-platform subgroup and significantly weaker than in the remaining platforms.”
3 of 3

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Consistentχ²(9) = 12.13reported p = .206 · recomputed p = .206

    “χ2(9) = 12.13, p = .206”

1 of 1

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • LO4 labels two different loneliness items

    Minor

    Table 2 assigns LO4 to two different questions, so the item labels do not uniquely identify the stated six-item loneliness measure.

1 of 1

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Brennan, 1998, Attachment Theory and close Relationships, 46

Cited by

Still being checked.

Metadata

Authors
Liu, T., Shih, R.-M., Luo, T., & Jin, S.
Affiliations
  • Fujian University of Technology (CN)
  • Fujian Polytechnic of Information Technology (CN)
  • School of Design, Fujian University of Technology
Corresponding author
Shih, Ruey-ming
Venue
Frontiers in Psychology
Published
2026-10-13
Volume
17
Pages
1900817-1900817
ISSN
1664-1078 (ISSN-L)
OpenAlex
W7221656980
Cited by
0
References
61
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Psychology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
Fujian University of Technology
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Psychology › Social Psychology › Attachment and Relationship Dynamics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Keywords
AI companions, conversational AI, perceived anthropomorphism, psychological need satisfaction, loneliness

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.

A language model drew the claims from the paper on 2026-11-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-11-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

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