Assistive Technology

Artificial Intelligence techniques can significantly enhance technology that enables people with cognitive and/or physical impairments to live more autonomously. At Michigan, we employ automated planning, temporal reasoning, machine learning, probabilistic inference, and crowdsourcing techniques to create assistive technologies. Examples of target systems include ones that provide flexibly timed reminders of daily activities to people with memory impairment; that automatically adapt a computer interface to meet the needs of a person with visual or fine-motor impairment; that answer visual questions about the world for a blind person; or that monitor the behavior of a person at home, to identify emerging functional problems.

CSE Faculty

Banovic, Nikola
Baveja, Satinder Singh
Durfee, Edmund H
Lasecki, Walter
Mower Provost, Emily