Document Type
Conference Proceeding
Publication Date
12-21-2024
Abstract
Attention Deficit Hyperactivity Disorder (ADHD) is the most prevalent childhood psychiatric condition that needs an assessment of inattention, hyperactivity, and impulsiveness symptoms. Particularly in young children, hyperactivity-impulsivity stands out as a primary concern. However, those behaviors may or may not be evidenced when a child is in a small room, one-on-one with a single adult. Therefore, Ambient Intelligence technology that supports data collection in a natural setting, paired with expert human decision-making can potentially improve the quality of assessments. In this paper, we conduct a literature review and analysis to align ADHD assessment criteria with potential sensor technologies to collect behavioral data, followed by design sessions that propose personas and scenarios to envision potential solutions.
Recommended Citation
Cibrian, F.L., Min, L., Arnold, V. (2024). Towards a Multimodal Approach for Assessing ADHD Hyperactivity Behaviors. In: Bravo, J., Nugent, C., Cleland, I. (eds) Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024). UCAmI 2024. Lecture Notes in Networks and Systems, vol 1212. Springer, Cham. https://doi.org/10.1007/978-3-031-77571-0_1
Copyright
The authors
Included in
Biomedical Commons, Neurosciences Commons, Other Electrical and Computer Engineering Commons
Comments
This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024) following peer review. The final publication may differ and is available at Springer via https://doi.org/10.1007/978-3-031-77571-0_1.
A free-to-read copy of the final published article is available here.