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Understanding Parents' Complex Views of AI for Children's Pretend Play

arXiv 2609.39906 ↗First posted 30 Sep 2026cs.HC cs.AIcited by 0

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Abstract (arXiv)

AI could support children's pretend play, but it could also direct the play on behalf of children. Whether AI should have roles in children's lives is controversial because its influence on children remains uncertain. We conducted semi-structured interviews with 10 U.S. parents, each with at least one child aged 4-15. During the interview, we described the concept of AI-supported pretend play and provided participants with two boundary-case storyboards. We analyzed the interview data through codebook thematic analysis, using inductive coding and affinity diagramming organized around the research questions, and then used qualitative systems mapping to examine relationships within and across themes. We found that the same characteristics of AI, e.g., ability to assume characters, responsiveness, and adaptability, were seen by parents as potentially useful but also concerning. Parents imagined that AI could make role-based play accessible to all children or help parents participate in family play. However, they opposed the idea of AI for children's play without a clear understanding of how it works and its long-term influence on their children. Parents worried about children's loss of imagination and creativity, emotional attachment to AI, reduced human interaction, inappropriate behavior by AI and/or children, and their inability to manage children's AI use. Parents viewed AI not only as a play tool but also as a social actor and a possible perturbation in the existing family dynamics. The appropriateness of AI and child--AI interactions therefore emerged as a requirement for AI in children's pretend play, in addition to technical safeguards and parental control. We contribute an integrated account of parents' interdependent judgments and emphasize the need for longitudinal research with children and their diverse families.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 12 of its 84 references that are in the map. First posted on arXiv 30 Sep 2026.

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12 of 84 references.

References · 12

  1. 2022StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvementcited by 37
  2. 2025Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narrativescited by 12
  3. 2025MinorBench: A hand-built benchmark for content-based risks for childrencited by 9
  4. 2024Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activitiescited by 8
  5. 2025LLMs and Childhood Safety: Identifying Risks and Proposing a Protection Framework for Safe Child-LLM Interactioncited by 7
  6. 2025Principles of Safe AI Companions for Youth: Parent and Expert Perspectivescited by 6
  7. 2023Family Theories in Child-Robot Interactions: Understanding Families as a Whole for Child-Robot Interaction Designcited by 3
  8. 2026Understanding Parents' Desires in Moderating Children's Interactions with GenAI Chatbots through LLM-Generated Probescited by 2
  9. 2021A systematic review of physical-digital play technology and developmentally relevant child behaviourcited by 1
  10. 2026Designing Robots for Families: In-Situ Prototyping for Contextual Reminders on Family Routinescited by 1
  11. 2026Toys that listen, talk, and play: Understanding Children's Sensemaking and Interactions with AI Toyscited by 1
  12. 2026Engagement Is Not Transfer: A Withdrawal Study of a Consumer Social Robot with Autistic Children at Homecited by 1

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