@inproceedings{04e179539f5742fba437c71592b62092,
title = "Dozzz: Exploring Voice-Based Sleep Experience Sampling for Children",
abstract = "Text-based digital diaries are an essential tool for sleep clinicians to assess how their patients experience sleep. However, text-entry can be challenging for children. Voice entry represents a plausible and yet unexplored alternative for supporting children{\textquoteright}s self-report in sleep diaries. We introduce Dozzz, a voice-based digital sleep diary that empowers children to record their sleep experiences using a smartphone. We present the result of usability evaluation involving ten children aged six to twelve. This evaluation confirmed that children were able to understand and interact with Dozzz effectively. Our study demonstrates the feasibility of voice-user interfaces (VUIs) to support sleep diaries for children. Future work needs to assess the use of diaries in real-life settings and evaluate the quality of responses children provide when using the system independently at home.",
keywords = "children-computer interaction, experience sampling method, self-tracking, sleep diary, voice-user interfaces",
author = "Shanshan Chen and Panos Markopoulos and Jun Hu",
year = "2024",
month = jun,
day = "4",
doi = "10.1007/978-3-031-59717-6_32",
language = "English",
isbn = "978-3-031-59716-9",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST)",
publisher = "Springer",
pages = "490--500",
editor = "Dario Salvi and {Van Gorp}, Pieter and Shah, {Syed Ahmar}",
booktitle = "Pervasive Computing Technologies for Healthcare",
address = "Germany",
note = "17th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2023 ; Conference date: 27-11-2023 Through 29-11-2023",
}