Research Article
Dozzz: Exploring Voice-Based Sleep Experience Sampling for Children
@INPROCEEDINGS{10.1007/978-3-031-59717-6_32, author={Shanshan Chen and Panos Markopoulos and Jun Hu}, title={Dozzz: Exploring Voice-Based Sleep Experience Sampling for Children}, proceedings={Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malm\o{}, Sweden, November 27-29, 2023, Proceedings}, proceedings_a={PERVASIVEHEALTH}, year={2024}, month={6}, keywords={voice-user interfaces experience sampling method children-computer interaction sleep diary self-tracking}, doi={10.1007/978-3-031-59717-6_32} }- Shanshan Chen
Panos Markopoulos
Jun Hu
Year: 2024
Dozzz: Exploring Voice-Based Sleep Experience Sampling for Children
PERVASIVEHEALTH
Springer
DOI: 10.1007/978-3-031-59717-6_32
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’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.
