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VR-based Driving System Datasets

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title VR-based Driving System Datasets
 
Identifier https://doi.org/10.7910/DVN/9N4V9X
 
Creator Alhaji Abdurrahman, Usman
 
Publisher Harvard Dataverse
 
Description These two datasets (Driving Performance and Physiological Features) were collected during an investigation to determine whether landmarks and routes affect navigational efficiency and learning transfer in traffic situations. The driving performance features comprise task completion time, wrong counts and barricade counts. At the same time, the physiological features consist of the heart rate and pupil size data.
 
Subject Computer and Information Science
 
Contributor Alhaji Abdurrahman, Usman