Improvement of Driving Simulator Eye Tracking Software

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Improvement of Driving Simulator Eye Tracking Software

Published Date

2019-06

Publisher

Center for Transportation Studies, University of Minnesota

Type

Report

Abstract

This work focuses on improving the eye tracking analysis tools used with the HumanFIRST driving simulator. Eye tracking is an important tool for simulation-based studies. It allows researchers to understand where participants are focusing their visual attention while driving. The eye tracking system provides a nearly continuous record of the direction in which the driver is looking with respect to real-world coordinates. However, this by itself does not give any information about the objects at which the driver is looking. To determine when a driver is fixated on a given element in the simulated world (e.g., a vehicle or sign), additional processing is necessary. Current methods to process this data are time and resource intensive, requiring a researcher to manually review the eye tracking data. This motivates an automated solution that can automatically and programmatically combine eye tracking and simulator data to determine at which object(s) (either in the real world or the simulated world) the driver is looking. This was accomplished by developing and implementing software capable of providing useful eye tracking data to researchers without requiring time and resource intensive human intervention and hand coding of data. The data generated by the analysis software was designed to provide a set of summary statistics and metrics that will be useful across different simulation studies. Additionally, visualization software was created to allow researchers to view key simulator and eye tracking data for context or insight or to identify and characterize anomalies in the analysis software. Overall, the software implemented will increase the efficiency with which eye tracking data can be used alongside simulator data.

Description

Related to

Replaces

License

Collections

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Davis, Brian; Morris, Nichole L.; Achtemeier, Jacob D.; Easterlund, Peter. (2019). Improvement of Driving Simulator Eye Tracking Software. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/203634.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.