When: Monday, July 06, 1:30 p.m.

Where: 3305 Newell-Simon Hall

Amy Hurst,
Human-Computer Interaction Institute

Thesis Proposal

Abstract:
Accurate pointing is an obstacle to computer access for individuals with motor impairments. One of the main barriers to assisting individuals with pointing problems is a lack of frequent and low-cost assessment of those pointing problems. We are working to build a system to automatically assess real world pointing problems.

To this end, we will study real world pointing use and develop novel technologies to analyze it. Our investigation will contribute to a better understanding of real world pointing performance, and we will learn how to automatically assess it with machine learning. We will investigate how individuals with pointing problems, their caregivers, and clinicians want to use this information to improve computer access.

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