A new study finds technologies, such as lane departure warnings and adaptive cruise control, may help people with Parkinson’s improve their on-road driving performance.
The department of occupational therapy celebrates a successful 2024 Occupational Therapy Summit of Scholars and recognizes the latest achievements in research science.
The department of occupational therapy hosted the nation’s leading and up-and-coming O.T. researchers for the 2024 Occupational Therapy Summit of Scholars.
The INSPIRE program has trained aspiring SLPs, OTs, and PTs to be skilled early intervention practitioners. Reflecting on the program's legacy.
The small poster session-style event for members of Congress and their staff was designed to raise awareness of PCORI-funded studies.
From the data of 123 Veterans, GIS analyses of transportation needs for rural Veterans, and current VA practices, we will develop a VA centric roadmap with recommendations for adopting and deploying autonomous shuttles (AS) as a mode of community mobility for rural Veterans.
In this course, the presenters discuss an interdisciplinary approach to home modifications research.
A delegation of four faculty and five PhD students presented at the 2022 Occupational Therapy Summit of Scholars, hosted at the University of Wisconsin. The OT Summit brings together top researchers in the field and provides mentorship opportunities to build the next generation of OT researchers.
The deployment of autonomous vehicle (AV) technologies may hold important health and safety benefits for drivers across the driving lifespan. However, such benefits can materialize only if transportation users are willing to embrace the emerging technologies. Earlier studies document a wide variance in acceptance practices, based solely on surveys of drivers. This research used a combined approach of surveys and lived experiences of drivers engaging with AV technologies to examine technology acceptance and adoption of AV technologies. The webinar summarizes findings from the analysis of younger and middle-aged drivers’ perceptions of AVs before and after a) “driving” an interactive high-fidelity RTI driving simulator, in Level 4 autonomous mode, and b) riding in an autonomous shuttle (AS). Moreover, it discusses predictive models of facilitators and barriers for AV acceptance built from data collected from younger and middle-aged drivers (N=106) and older drivers (N=104). The findings reveal important foundational information about driver acceptance, their intention to use AVs, barriers to AV technology, and well-being related to AV technology across the driving lifespan.
The grant has the goal to determine older adults’ perceptions before and after exposure to autonomous ride sharing services. The information is critical for informing education, practice, and policy initiatives pertaining to facilitators and challenges for autonomous ride sharing services.
