Abstract
Managing university life is challenging for any student, including fast-paced self-reliant learning, first experiences with independent daily living, and the social demands of student life. These struggles are even more pronounced in students with Autism Spectrum Disorder (ASD), who might face additional difficulties, including interpersonal deficits, organisational challenges, lacking self-advocacy skills and sensory overload. This thesis uses a participatory design process to research how an adaptive, context-aware system could support students with autism in planning their student life, including managing time, tasks, stress and sensory stimulation. The first interviews resulted in a focus on intelligent planning systems with a low-effort interaction design. The design process will incrementally build towards intelligent support for personalised interactive scheduling as well as in-the-moment next-action recommendations that are context-aware and adaptive to data on the user’s stress level and sensory stimulation exposure.
Original language | English |
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Title of host publication | UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization |
Publisher | Association for Computing Machinery |
Pages | 263-268 |
Number of pages | 6 |
ISBN (Electronic) | 9781450399326 |
DOIs | |
Publication status | Published - 18 Jun 2023 |
Publication series
Name | UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization |
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Bibliographical note
Publisher Copyright:© 2023 Copyright held by the owner/author(s).
Keywords
- adaptive systems
- autism spectrum disorder (ASD)
- planning
- sensory stimulation
- stress