Work

Augmented reality cues to assist older drivers with gap estimation for left-turns

Year: 2014

Type: article

Source: Accident Analysis & Prevention

DOI: 10.1016/j.aap.2014.05.020

Authors: Michelle L. Rusch, Mark C. Schall, Jr., John D. Lee, Jeffrey D. Dawson, Matthew Rizzo

Institutions: University of Iowa, University of Iowa Health Care, University of Wisconsin–Madison

Language: English

Topic: Older Adults Driving Studies

Subfield: Physical Therapy, Sports Therapy and Rehabilitation

Field: Health Professions

Domain: Health Sciences

SDGs: Good health and well-being, Sustainable cities and communities

Open Access status: green

Funders: Heartland Center for Occupational Safety and Health, National Institutes of Health, National Institute on Aging

Awards: In-Car Technology to Alert Attention-Imparied Drivers, Monitoring real-world driver behavior for classification and early prediction of Alzheimer’s disease

OpenAlex ID: W1993284191

FWCI: 10.35

Cites: 61

Cited by: 53

Related to: 10