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Visual attention is guided by the integration of two streams: the global, that rapidly process the scene, and the local, that process details. For people with autism, the integration of these two streams can be disrupted by the tendency to privilege details (local processing) instead of seeing the big picture (global processing). Consequently, people with autism struggle with typical visual attention, evidenced by their verbal description of local features when asked to describe overall scenes, disrupting their social understanding. Through a participatory design process, this work aims to explore an augmentation for global processing integration by digitally filtering visual stimuli.
Project participants: LouAnne Boyd (PI) (Chapman University), Deanna Hughes (Chapman University)
Related publications:
Sean V., Johnson J., Cibrian F. L., Pass H., DelPizzo-Cheng E., Lotich K., Jones S., Makin B., Hughes D., Boyd L. (Submitted). Designing, Developing, and Evaluating a Global Filter to Accommodate Local Interference for Children with Autism. In CHI’2020
Johnson J., Cibrian F. L., Pass H., DelPizzo-Cheng E., Lotich K., Jones S., Hayes G., Boyd L. (Submitted). Global Filter: Assisting People with Autism with See the "Big Picture", In CHI’2020
Cibrian F. L., Johnson J., Sean V., Pass H., Boyd L. (Submitted) Global Filter Prototyping: A Case Study of an Adult with Autism. In Case Study CHI 2020.
[W13] Sean V., Cibrian F. L., Johnson J., Pass H., Boyd L. Toward Digital Image Processing and Eye Tracking to Promote Visual Attention for People with Autism. In Proceedings of UbiComp/ISWC’19. ACM, New York, NY, USA, 4 pages.
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