Evidence map›Paper›PMID 42293896›Full record

ArticleFrontiers in psychology2026

Factors influencing single young adults' intentions to accept AI virtual companion apps based on the theory of emotional design.

Ting Liu, Yue Sun, Zheng-Qi Wei, Ting-Yun Lo

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ting LiuSchool of Design, Fujian University of Technology, Fuzhou, China.
Yue SunSchool of Design, Fujian University of Technology, Fuzhou, China.
Zheng-Qi WeiSchool of Design, Fujian University of Technology, Fuzhou, China.
Ting-Yun LoSchool of Design, Fujian University of Technology, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: AI virtual companion apps are increasingly used by single young adults as emotionally responsive media, yet acceptance studies often treat them as ordinary AI services or chatbots. This study examines how emotional design influences single young adults' intention to accept AI virtual companion apps. Methods: Drawing on emotional design theory, technology acceptance research, and human-AI companionship literature, a conceptual model was developed in which emotional design affects behavioral intention directly and indirectly through user experience. Emotional design was operationalized through four AI-companion-specific dimensions: interaction quality, visual appeal, perceived personalization, and intelligent adaptability. Measurement items were adapted from validated scales and refined through expert interviews. A survey was conducted with 635 Chinese single young adults who had used AI virtual companion apps for at least 1 month. Data were analyzed using reliability analysis, exploratory and confirmatory factor analyses, correlation analysis, structural equation modeling, and bootstrap mediation testing. Results: The model showed adequate fit (CMIN/DF = 1.279; GFI = 0.980; AGFI = 0.971; IFI = 0.995; RMSEA = 0.021; CFI = 0.995; TLI = 0.994). Emotional design positively predicted user experience ( Conclusion: Intelligent adaptability and personalization appear especially important for the acceptance of AI virtual companion apps, while interaction quality and visual appeal support users' initial and ongoing experiences. These findings clarify how AI-specific emotional design features become behaviorally meaningful through user experience and contribute to media psychology and human-AI interaction research.

Indexed as

AI virtual companion appsbehavioral intentionstructural equation modelingtheory of emotional designyoung adults

Identifiers

PMID42293896
PMCPMC13260621

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.