Dissertation/Thesis Abstract

Performance and Attentional Abilities of Automobile Drivers with Head-Up and Head-Down Displays
by Moran, Sabrina N., M.S., California State University, Long Beach, 2018, 72; 10839963
Abstract (Summary)

Many individuals rely on a navigational system every day to direct them to various destinations, and with the prevalence and danger of distracted driving accidents, it is imperative that we find an effective way to display navigational information to drivers with minimal visual distraction. The lane change test (LCT) was used to measure driving performance, as participants followed lane change cues presented on Road-Signs, a Head-Up Display (HUD), and a Head-Down Display (HDD). A peripheral detection task (PDT) was also implemented on half of the test tracks, with inward moving stimuli from either side of the road, to measure the participants’ ability to detect ecologically-valid stimuli while interacting with the assorted display locations. Driving performance, measured by the mean deviations from a normative path (MDev), was the worst with the HDD and similar with the Road-Signs and HUD. Analyses were completed to investigate a potential effect of age on the ability to interact with the display locations. Younger participants (20-24 years) performed the best with the HUD; while Older participants (26-31 years) performed the best with the Road-Signs. These differences are potentially attributed to the evolution of GPS technologies over the last decade. No significant differences were found in peripheral detection response time or accuracy between the display types or the age groups. As road signs cannot offer specific navigational instructions for all drivers in real-time, HUDs may be a good alternative to the in-vehicle HDD present in modern vehicles, but any in-vehicle interface implementation should be customizable and optional.

Indexing (document details)
Advisor: Strybel, Thomas Z.
Commitee: Hancock, Gabriella M., Vu, Kim-Phuong L.
School: California State University, Long Beach
Department: Psychology
School Location: United States -- California
Source: MAI 58/02M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Engineering, Psychology
Keywords: Attention, Automobile safety, Distraction, Driving, Human factors, In-vehicle interfaces
Publication Number: 10839963
ISBN: 9780438568266
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