Smarter Waiting: Understanding and Enhancing Children's Queue Experience in Digital Chats with AI-Powered Storytelling

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.

Authors

Institutions

Publication Details

Published
2025-11-10
DOI
https://doi.org/10.1145/3765766.3765798
Citations
1
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
1.54
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smarter Waiting: Understanding and Enhancing Children's Queue Experience in Digital Chats with AI-Powered Storytelling

Vilma Christensen, Arzu Guneysu, Rahil Somayeh Jafaritazehjani
1 citations
Digital Mental Health Interventions
1.54
article

Smarter Waiting: Understanding and Enhancing Children's Queue Experience in Digital Chats with AI-Powered Storytelling

Vilma Christensen, Arzu Guneysu, Rahil Somayeh Jafaritazehjani
article en
1 citations

Abstract

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.

Umeå University (SE)
Openalex Percentile: Top 11%
Digital Mental Health Interventions
1.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Smarter Waiting: Understanding and Enhancing Children's Queue Experience in Digital Chats with AI-Powered Storytelling — Vilma Christensen, Arzu Guneysu, et al. · (2025) | TGRS Research Map | TGRS