Date of Award

12-2024

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Psychology

Committee Chair/Advisor

Dr. Dustin Souders

Committee Member

Dr. Richard Pak

Committee Member

Dr. Julian Brinkley

Abstract

Although much research exists investigating preferences towards transportation and driver assistance technologies, there is a gap in the literature related to taking a mixed methods approach investigating age-related differences in traffic management behaviors. Previous studies have established that older adults tend to avoid higher risk traffic situations more often than younger adults. This research builds on existing work that compares different aged participants simulated driving behaviors, self-reported workload, and interview responses. Benefits from this study include adding to our understanding of gap maintenance behavior, perceived workload at varying traffic speeds, and preferences among younger and older drivers towards offloading driving tasks to automation. This study assessed younger and older adults driving performance at various levels of simulated traffic both with and without driver assistance technologies. The effects of age group, traffic speed, and assistance level were assessed regarding their impact on gap maintenance behavior, self-reported workload, and interview responses. Driving behavior results from this study found significant differences in minimum headway gap distance and minimum time to collision by age group, traffic speed, and assistance level. Workload results from this study found that multiple NASA Task Load Index items showed a significant difference according to the age group, traffic speed, and assistance level conditions. Lastly, trends in the interview data for different age groups found that younger adults tended to report greater ease of use with the ADAS, while older adults reported higher levels of traffic avoidance, and were less willing to offload driving tasks to an ADAS.

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