Assistive Technology  Research Areas -> Artificial Intelligence
-> 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, and probabilistic inference techniques to
design and evaluate assistive technology. 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; or that monitor the
behavior of a person at home, to identify emerging functional
problems. Baveja, Satinder Singh Durfee, Edmund H Pollack,
Martha