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William C. Mann
Researcher at University of Florida
Publications - 151
Citations - 5578
William C. Mann is an academic researcher from University of Florida. The author has contributed to research in topics: Activities of daily living & Population. The author has an hindex of 39, co-authored 151 publications receiving 5326 citations. Previous affiliations of William C. Mann include University at Buffalo & United States Department of Veterans Affairs.
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Journal ArticleDOI
The Gator Tech Smart House: a programmable pervasive space
TL;DR: The University of Florida's Mobile and Pervasive Computing Laboratory is developing programmable pervasive spaces in which a smart space exists as both a runtime environment and a software library.
Journal ArticleDOI
Effectiveness of assistive technology and environmental interventions in maintaining independence and reducing home care costs for the frail elderly. A randomized controlled trial.
TL;DR: Results indicate rate of decline can be slowed, and institutional and certain in-home personnel costs reduced through a systematic approach to providing AT and EIs.
Journal ArticleDOI
Comparison of driving errors between on-the-road and simulated driving assessment: a validation study.
TL;DR: Early support for external validity for the driving simulator is suggested, indicating that the results of assessing driving errors when negotiating turns in the simulator can be generalized or transferred to the road under the same testing conditions.
Proceedings ArticleDOI
Enabling location-aware pervasive computing applications for the elderly
Sumi Helal,B. Winkler,Choonhwa Lee,Youssef Kaddoura,L. Ran,Carlos Giraldo,S. Kuchibhotla,William C. Mann +7 more
TL;DR: The hands-on experience and lessons learnt from the first phase work to build up a smart home infrastructure for the elderly, and an OSGi-based robust framework that abstracts the ultrasonic technology into a standard service to enable the creation of tracking based applications by third party, and to facilitate the collaboration among various devices and other OSGi services.
Journal ArticleDOI
Video game training to improve selective visual attention in older adults
Patricia Belchior,Michael Marsiske,Shannon M. Sisco,Anna Yam,Daphne Bavelier,Karlene Ball,William C. Mann +6 more
TL;DR: Examining pretest-posttest change in selective visual attention, the UFOV improved significantly more than the game groups; all three intervention groups improved significantlyMore than no-contact controls.