Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities
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Abstract (arXiv)
Interactive storytelling is vital for preschooler development. While children's interactive partners have traditionally been their parents and teachers, recent advances in artificial intelligence (AI) have sparked a surge of AI-based storytelling and reading technologies. As these technologies become increasingly ubiquitous in preschoolers' lives, questions arise regarding how they function in practical storytelling and reading scenarios and, how parents, the most critical stakeholders, experience and perceive these technologies. This paper investigates these questions through a qualitative study with 17 parents of children aged 3-6. Our findings suggest that even though AI-based storytelling and reading technologies provide more immersive and engaging interaction, they still cannot meet parents' expectations due to a series of interactive and algorithmic challenges. We elaborate on these challenges and discuss the possible implications of future AI-based interactive storytelling technologies for preschoolers.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Jan 2024.
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Citing papers per year: 2025: 5; 2026: 3.
8 papers.
- 2025Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluationcited by 26
- 2025Biased Tales: Cultural and Topic Bias in Generating Children's Storiescited by 15
- 2025Towards Aligning Multimodal LLMs with Human Experts: A Focus on Parent-Child Interactioncited by 1
- 2025Once Upon an AI: Six Scaffolds for Child-AI Interaction Design, Inspired by Disneycited by 0
- 2025Human-AI Alignment of Multimodal Large Language Models with Speech-Language Pathologists in Parent-Child Interactionscited by 0
- 2026Tinker Tales: A Tangible Dialogue System for Child-AI Co-Creative Storytellingcited by 0
- 2026Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safetycited by 0
- 2026Understanding Parents' Complex Views of AI for Children's Pretend Playcited by 0
- 2026Understanding Parents' Complex Views of AI for Children's Pretend Play30 Sep 2026
- 2026Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety13 May 2026
- 2026Tinker Tales: A Tangible Dialogue System for Child-AI Co-Creative Storytelling4 Feb 2026
- 2025Towards Aligning Multimodal LLMs with Human Experts: A Focus on Parent-Child Interaction6 Nov 2025
- 2025Biased Tales: Cultural and Topic Bias in Generating Children's Stories9 Sep 2025
- 2025Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation28 Jul 2025
- 2025Human-AI Alignment of Multimodal Large Language Models with Speech-Language Pathologists in Parent-Child Interactions6 Jun 2025
- 2025Once Upon an AI: Six Scaffolds for Child-AI Interaction Design, Inspired by Disney11 Apr 2025