MS Proposal by Zoe M. Becerra

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Event Details
  • Date/Time:
    • Friday October 18, 2019 - Saturday October 19, 2019
      3:00 pm - 4:59 pm
  • Location: J.S. Coon Building, Room 217
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Summaries

Summary Sentence: Measuring the influence of automation on situation awareness in highly automated vehicles

Full Summary: No summary paragraph submitted.

Name: Zoe M. Becerra

Master’s Thesis Proposal Meeting
Date: Friday, October 18, 2019
Time: 3:00 pm
Location: J.S. Coon Building, Room 217
 
Advisor:
Bruce Walker, Ph.D. (Georgia Tech)
 
Thesis Committee Members:
Bruce Walker, Ph.D. (Georgia Tech)
Jamie Gorman, Ph.D. (Georgia Tech)
Richard Catrambone, Ph.D. (Georgia Tech)
 
Title: Measuring the influence of automation on situation awareness in highly automated vehicles

 

Abstract:

Higher levels of automation, such as adaptive cruise control (ACC) and automated lane keeping (ALK), are becoming more and more common in vehicles. With the inclusion of these automated features, the role of the driver is shifting from an active one to a passive, supervisory one. As drivers enter this transition, it is critical they understand how the automation is performing and remain aware of the roadway environment. Situation awareness (SA) is the understanding of what is going on around you. Previous research has shown how a driver’s SA is impacted by many factors including: age, driving experience, distraction, and secondary task engagement. Little work has explored the direct influence of level of automation on SA or how best to measure SA in an automated vehicle. To address these issues, this study will examine how SA changes as a function of level of automation in a simulated driving task, using multiple measures of SA, workload, and trust.

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MS Proposal
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Oct 7, 2019 - 11:55am
  • Last Updated: Oct 7, 2019 - 11:55am