Evidence map›Paper›PMID 42321405›Full record

ArticleNPJ digital medicine2026

Young people's perceptions and recommendations for conversational generative artificial intelligence in youth mental health.

Adam Poulsen, Ian B Hickie, Carla Gorban, Zsofi de Haan, William Capon, Ebenezer Eyeson-Annan, Jalal Radwan, Elizabeth M Scott, Frank Iorfino, Haley M LaMonica

Abstract read
In one paragraph

Article in NPJ digital medicine, 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

10 authors.

Adam PoulsenBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia. adam.poulsen@sydney.edu.au.ORCID http://orcid.org/0000-0002-0001-3894
Ian B HickieBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-8832-9895
Carla GorbanBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0009-0003-9568-1792
Zsofi de HaanBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0009-0003-3341-5982
William CaponBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-6500-9629
Ebenezer Eyeson-AnnanUncapt, Sydney, NSW, Australia.ORCID http://orcid.org/0009-0009-3526-0201
Jalal RadwanUncapt, Sydney, NSW, Australia.ORCID http://orcid.org/0009-0005-2929-7252
Elizabeth M ScottBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-3907-0324
Frank IorfinoBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-1109-0972
Haley M LaMonicaBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-6563-5467

Funding

National Health and Medical Research Council GNT2016346National Health and Medical Research Council GNT2018157
6 · The paper itself

Abstract

Conversational generative artificial intelligence agents (or genAI chatbots) could benefit youth mental health, yet young people's perspectives remain underexplored. We examined the Mental health Intelligence Agent (Mia), a genAI chatbot originally designed for professionals in Australian youth services. Following co-design, 32 young people participated in online workshops exploring their perceptions of genAI chatbots in youth mental health and to develop recommendations for reconceptualising Mia for consumers and integrating it into services. Four themes were developed using reflexive thematic analysis: (1) Humanising AI without dehumanising care, (2) I need to know what's under the hood, (3) Right tool, right place, right time?, and (4) Making it mine on safe ground. This study offers insights into young people's attitudes, needs, and requirements regarding genAI chatbots in youth mental health, with key implications for service integration. Additionally, by co-designing system requirements, this work informs the ethics, design, development, implementation, and governance of genAI chatbots in youth mental health contexts.

Identifiers

PMID42321405
PMCPMC13639063

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.