Open this publication in new window or tab >>2025 (English)In: HAI '25: Proceedings of the 13th international conference on human-agent interaction / [ed] Hirotaka Osawa; Helena Lindgren; Aaron Steinfeld; Mary Ellen Foster; Shogo Okada; Haiyi Zhu, Association for Computing Machinery (ACM), 2025, p. 292-301Conference paper, Published paper (Refereed)
Abstract [en]
With the growing use of digital platforms for professional chat support, waiting time has become a major source of frustration, especially in digital mental health services for children, where many leave the queue before receiving help. This paper explores how an AI-powered interactive feature can improve children’s queue experience by identifying key design and functional requirements and evaluating its impact on engagement, boredom, and perceived waiting time. Through a Design Thinking process, two iterations were conducted: a low-fidelity prototype co-designed with children and experts, and a high-fidelity prototype featuring an LLM-based storytelling agent. The findings underscore the importance of safety, transparency, emotional expression, and personalization in child-AI interactions, showing that storytelling agents can reduce boredom and enhance engagement while children wait.
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2025
Keywords
Child-AI Interaction, Conversational Agent, Storytelling, LLM, Digital chats, Queue Experience, User Engagement, Design Thinking
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:umu:diva-248753 (URN)10.1145/3765766.3765798 (DOI)2-s2.0-105027407575 (Scopus ID)979-8-4007-2178-6 (ISBN)
Conference
HAI '25: International Conference on Human-Agent Interaction, Yokohama, Japan, November 10-13, 2025
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)
2026-01-212026-01-212026-02-16Bibliographically approved