Evidence map›Paper›PMID 41748970›Full record

ArticleDiscover mental health2026

The role of AI companions in supporting adaptive emotion regulation among university students with social anxiety.

Uwemedimo S Isaiah, Abraham T Naibo, Michael T Ugondo, Samson Ogwuche, Sandra J Iziengbuwa, Emmanuel E Abiama, Mfon E Ineme

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 authors.

Uwemedimo S IsaiahDepartment of Psychology, University of Uyo, Uyo, Akwa Ibom State, Nigeria. uwemedimoisaiah.msc@uniuyo.edu.ng.
Abraham T NaiboDepartment of Psychology, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.
Michael T UgondoDepartment of Psychology, Benue State College of Nursing Sciences, Makurdi, Benue State, Nigeria.
Samson OgwucheDepartment of Psychology, Nasarawa State University, Keffi, Nasarawa State, Nigeria.
Sandra J IziengbuwaDepartment of Educational Management, University of Benin, Benin City, Edo State, Nigeria.
Emmanuel E AbiamaDepartment of Psychology, University of Uyo, Uyo, Akwa Ibom State, Nigeria.
Mfon E InemeDepartment of Psychology, University of Uyo, Uyo, Akwa Ibom State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social anxiety is a prevalent psychological challenge among university students, often impairing interpersonal relationships, academic engagement, and overall well-being. Emotion regulation strategies are critical in managing these challenges. With the rise of artificial intelligence (AI)-based companions, there is increasing interest in their potential role in promoting adaptive emotion regulation and offering non-judgmental support to socially anxious individuals. However, limited evidence exists on how students experience AI companions in relation to their emotional needs. This study therefore examined whether AI companions support adaptive emotion regulation among university students experiencing social anxiety. Using a hermeneutic phenomenological approach, responses were obtained from 20 university students aged 18–24 years who self-identified as experiencing social anxiety. Data were gathered through semi-structured interviews, and participants’ experiences were analyzed using content analysis to identify common themes. The findings were summarized under four themes: (a) Safe Spaces for Silent Struggles, (b) Emotional Relief and Coping (c) Stigma and the Appeal of Nonjudgmental AI, and (d) Withdrawal and Reliance on Technology. While students reported that AI companions provided a safe outlet for self-expression and helped regulate anxiety in triggering situations, they also expressed concerns about authenticity, overdependence, and lack of human warmth. The study highlights both the promise and limitations of AI companions in supporting adaptive emotion regulation among socially anxious students. A multi-stakeholder effort involving psychologists, educators, and AI developers is recommended to optimize the use of AI companions for mental health support in university settings.

Indexed as

Adaptive copingAI companionsDigital mental healthEmotion regulationSocial anxietyUniversity students

Identifiers

PMID41748970
PMCPMC13049135

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.