Different level automation technology acceptance: Older adult driver opinion |
| |
| Affiliation: | 1. Industrial and System Engineering, University of Florida, Gainesville, FL 32603, USA;2. Department Industrial Engineering, Jazan University, Jazan, Jizan 45142, Saudi Arabia;3. Department of Mechanical, Industrial and System Engineering, University of Rhode Island, Kingston, RI 02881, United States;1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611, USA;2. Department of Occupational Therapy, University of Florida, Gainesville, FL 32611, USA;1. Department of Civil, Environmental and Architectural Engineering, University of Padua, Italy;2. Department of General Psychology, University of Padua, Italy;3. Mind, Brain, and Behavior Research Center, University of Granada, Spain;1. Industrial and Systems Engineering Department, Texas A&M University, College Station, TX, United States;2. Texas A&M Transportation Institute, College Station, TX, United States;1. Insurance Institute for Highway Safety, Arlington, VA, United States;2. Westat, Rockville, MD, United States |
| |
| Abstract: | The increase in the number of older adult drivers in developed countries has raised safety concerns due to the decline in their sensory, motor, perceptual, and cognitive abilities which can limit their driving capabilities. Their driving safety could be enhanced by the use of modern Automated Driver Assistance Systems (ADASs) and might totally resolved by full driving automation. However, the acceptance of these technologies by older adult drivers is not yet well understood. Thus, this study investigated older adult drivers’ intention to use six ADASs and full driving automation through two questionnaires with 115 and 132 participants respectively in Rhode Island, USA. A four-dimensional model referred to as the USEA model was used for exploring older adult drivers’ technology acceptance. The USEA model included perceived usefulness, perceived safety, perceived ease of use, and perceived anxiety. Path Analysis was applied to evaluate the proposed model. The results of this study identified the important factors in older adult drivers’ intention to use ADASs and full driving automation, which could assist stakeholders in improving technologies for use by older drivers. |
| |
| Keywords: | Driving safety Challenging driving situation Automated driver assistant systems Full driving automation Level-1 of automation Older adult drivers, Technology acceptance |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
