Evidence map›Paper›PMID 42400316›Full record

ArticleChild and adolescent mental health2026

Debate: Conversational AI and young people's mental health - friend or foe? - more than a 'good or bad' story: a self-determination theory approach to conversational AI and adolescent well-being.

Laure Dedecker, Yuhui Olivia Chen, Gaëlle Vanhoffelen, Laura Vandenbosch, Lara Schreurs

Abstract read
In one paragraph

Article in Child and adolescent mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Editorial: Technology is in our ecology.Child and adolescent mental health · 2026
    Article
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

5 authors.

Laure DedeckerMedia Psychology Lab, Department of Communication Science, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0009-0008-1424-6630
Yuhui Olivia ChenStudies in Media, Innovation, and technology Research Group, Department of Communication Sciences, Vrije Universiteit Brussel, Brussels, Belgium.
Gaëlle VanhoffelenMedia Psychology Lab, Department of Communication Science, KU Leuven, Leuven, Belgium.
Laura VandenboschMedia Psychology Lab, Department of Communication Science, KU Leuven, Leuven, Belgium.
Lara SchreursMedia Psychology Lab, Department of Communication Science, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0003-3027-3934

Funding

KU Leuven C14/23/035Research Foundation Flanders (FWO-Vlaanderen) 11G2725N
6 · The paper itself

Abstract

The rapid adoption of conversational AI among adolescents has sparked growing debate about its implications for development and well-being. This article applies a Self-Determination Theory lens to explore how and under which conditions adolescents' conversational AI usage supports or frustrates their basic psychological needs for competence, relatedness, and autonomy. Conversational AI may enhance competence through learning assistance, relatedness through emotional and relational support, and autonomy through increased independence. At the same time, it may also promote the risk of superficial competence, displace human relationships, and constrain authentic autonomy. Overall, the role conversational AI plays in adolescents' development is unlikely to be universally positive or negative for all adolescents, but instead depends on how, why, and in which context these technologies are used, highlighting the need for nuanced research and developmentally sensitive design.

Indexed as

Adolescent BehaviorAdolescent DevelopmentArtificial IntelligenceCommunicationInterpersonal RelationsMental HealthPersonal AutonomyAdolescentHumansPsychological Well-BeingadolescenceConversational AI useself‐determination theorywell‐being

Identifiers

PMID42400316
PMCPMC13474279

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.