Evidence map›Paper›PMID 42684210›Full record

ArticleJMIR AI2026

Perceived Support Is Not Psychological Change: Reframing AI Chatbots in Mental Health Care.

Michal Mahat-Shamir, Maya Payes, Maya Kagan

Abstract read
In one paragraph

Article in JMIR AI, 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

3 authors.

Michal Mahat-Shamir *School of Social Work, Ariel University, 3 Kiryat HaMada, Ariel, Judea and Samaria Area, 40700, Israel, 972 0506211188.ORCID http://orcid.org/0000-0002-3630-5573
Maya Payes *School of Social Work, Ariel University, 3 Kiryat HaMada, Ariel, Judea and Samaria Area, 40700, Israel, 972 0506211188.ORCID http://orcid.org/0009-0002-3792-2538
Maya Kagan *School of Social Work, Ariel University, 3 Kiryat HaMada, Ariel, Judea and Samaria Area, 40700, Israel, 972 0506211188.ORCID http://orcid.org/0000-0002-3849-1074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: AI chatbots are increasingly used for emotional support, often outside formal care. Emerging evidence suggests that generative systems may produce modest reductions in symptoms of depression and anxiety. Yet a change in symptoms alone does not clarify the nature of the process involved. This viewpoint argues that chatbot interactions may primarily operate through structured mirroring and self-reflection rather than through the intersubjective engagement that underpins therapeutic transformation. We propose an implementation-focused distinction between tools that support symptom regulation and engagement and interventions that aim at enduring psychological change, emphasizing the need to specify mechanisms, relational conditions, and appropriate care pathways. Conflating perceived support with psychological change risks redefining therapeutic standards around technological affordance rather than relational encounters. As AI chatbots become embedded in mental health ecosystems, conceptual clarity and digital emotional literacy are essential to ensure that innovation strengthens rather than replaces the relational foundations of care.

Indexed as

digital literacydigital mental healthgenerative artificial intelligencepsychological changetherapeutic alliance

Identifiers

PMID42684210
PMCPMC13515344

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.