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Main Authors: Blake, Annabel, Carter, Marcus, Velloso, Eduardo
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2604.15340
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author Blake, Annabel
Carter, Marcus
Velloso, Eduardo
author_facet Blake, Annabel
Carter, Marcus
Velloso, Eduardo
contents Young people are among the fastest adopters of generative AI, yet research emphasises adult-designed tools and experiments rather than playful, self-directed youth use. We analysed discourse from 4,172 users in Character.AI's official Discord, finding that the most engaged users were predominantly adolescents (50% aged 13-17), female or non-binary (61.9%), with most (59%) creating their own characters. We contribute (1) a descriptive account of how highly-engaged youth on Character.AI's Discord use AI for playful, emotional, and creative practices that push the platform limits; (2) a framework of three engagement intents -- Restoration (emotional regulation), Exploration (creative experimentation), and Transformation (identity development); and (3) a taxonomy of seven youth-created character archetypes. Together, these findings reveal how youth invent novel roles for AI, expose critical misalignments between youth use and current AI experiences, and provide frameworks for researchers and practitioners to design youth-centred AI futures.
format Preprint
id arxiv_https___arxiv_org_abs_2604_15340
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Restoration, Exploration and Transformation: How Youth Engage Character.AI Chatbots for Feels, Fun and Finding themselves
Blake, Annabel
Carter, Marcus
Velloso, Eduardo
Human-Computer Interaction
Young people are among the fastest adopters of generative AI, yet research emphasises adult-designed tools and experiments rather than playful, self-directed youth use. We analysed discourse from 4,172 users in Character.AI's official Discord, finding that the most engaged users were predominantly adolescents (50% aged 13-17), female or non-binary (61.9%), with most (59%) creating their own characters. We contribute (1) a descriptive account of how highly-engaged youth on Character.AI's Discord use AI for playful, emotional, and creative practices that push the platform limits; (2) a framework of three engagement intents -- Restoration (emotional regulation), Exploration (creative experimentation), and Transformation (identity development); and (3) a taxonomy of seven youth-created character archetypes. Together, these findings reveal how youth invent novel roles for AI, expose critical misalignments between youth use and current AI experiences, and provide frameworks for researchers and practitioners to design youth-centred AI futures.
title Restoration, Exploration and Transformation: How Youth Engage Character.AI Chatbots for Feels, Fun and Finding themselves
topic Human-Computer Interaction
url https://arxiv.org/abs/2604.15340