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

Read full text
Authors: Laure Dedecker, Y L Chen, Gaëlle Vanhoffelen, Laura Vandenbosch, Lara Schreurs
Cited by: 1
References: 10

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.

Fields of Study & Subjects

Digital Mental Health Interventions Motivation and Self-Concept in Sports AI in Service Interactions

Publication details

Journal / source
Child and Adolescent Mental Health
Publisher
Wiley
Volume
31
Issue
3
Pages
235–237
Publication date
4 July 2026
Language
EN