Date of Award
3-1992
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Operational Sciences
First Advisor
Yupo Chan, PhD
Abstract
In man-machine design, it is important to quantify the reaction time components instead of simply determining the lump-sum reaction time to stimulus. The primary purpose of this thesis was to investigate the reaction time components, such as visual perception and muscle response time, and to quantify them by separating from their aggregated sum. The prime example, traffic-signal cognition simulation was used to examine human reaction time to signal change. With a modified computer program that stimulates the driver's approach to the intersection, we measured the subject's reaction times and examined behavioral patterns. Twelve subjects were involved in the experiment. A logistic regression procedure was applied to the data to define subjects' choices at different distances. Decision process time and the conflicting decision area were examined. Logistic regression was used to reveal the distribution of the conflicting decision area and muscle response time. The results revealed the visual perception time distribution. The most important part of total reaction time was visual perception. overall, the study showed the possibility of quantifying the reaction time components by using a simple computer simulation.
AFIT Designator
AFIT-GOR-ENS-92M-08
DTIC Accession Number
ADA248165
Recommended Citation
Demirarslan, Hasan H., "Visual Information Processing and Response Time in Traffic-Signal Cognition" (1992). Theses and Dissertations. 7617.
https://scholar.afit.edu/etd/7617
Comments
The author's Vita page is omitted.