Publication Date
Spring 2023
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Nada Attar
Second Advisor
Faranak Abri
Third Advisor
Saptarshi Sengupt
Keywords
driver distraction, eye tracking
Abstract
This pilot study used a driving simulator experiment to look into how podcast consumption affects driving performance as a continuous distraction. Three volunteers conducted three trials in the study, each with a different driving scenario. Data analysis was done to compare two conditions. The first condition is the Audio, where volunteers listen to podcasts while driving. The second condition is no-audio condition.. The no-audi condition had nothing to play in the background. We used eye-tracking technology to gather gaze data. The study's findings using the post survey and eye fixation data indicate that listening to podcasts leads to continuous distraction while driving which may impair situational awareness and attention to surroundings. On the other hand, the absence of audio stimulation can increase attention and awareness while driving. These findings underline the need for drivers to be aware of audio distractions while driving and have significant consequences for road safety.
Recommended Citation
Pilligundla, Kaushik, "Driving Simulator : Driving Performance Under Distraction" (2023). Master's Projects. 1253.
DOI: https://doi.org/10.31979/etd.xvqu-kaa5
https://scholarworks.sjsu.edu/etd_projects/1253