Conference Proceeding

Perceiving the Roadway in the Blink of an Eye-Rapid Perception of the Road Environment and Prediction of Events

Authors
  • Benjamin Wolfe (AgeLab, Massachusetts Institute of Technology, Cambridge, MA)
  • Lex Fridman (AgeLab, Massachusetts Institute of Technology, Cambridge, MA)
  • Anna Kosovicheva (Department of Psychology, Northeastern University, Boston, MA)
  • Bobbie Seppelt (AgeLab, Massachusetts Institute of Technology, Cambridge, MA)
  • Bruce Mehler (AgeLab, Massachusetts Institute of Technology, Cambridge, MA)
  • Ruth Rosenholtz (CSAIL, Massachusetts Institute of Technology, Cambridge, MA)
  • Bryan Reimer (AgeLab, Massachusetts Institute of Technology, Cambridge, MA)

Abstract

This study investigated how quickly participants could develop a functional mental representation of a real-world road scene, based on briefly viewed recorded video. Using Amazon Mechanical Turk, we recruited 27 participants and collected 25k individual trials assessing the development of a percept of the road environment. This was operationalized as the duration of road video required for participants to predict which of two temporally spaced images would happen next. We found that participants could begin to build a representation of the road environment with as little as 100 ms of viewed road video and that the representation improved with additional video. These results suggest that drivers may begin to construct robust, predictive mental representations of the road environment with the briefest of glances, and the more information available to them, the more robust these representations are. While 100 ms of eyes-on-road time is insufficient to ensure safe driving, comprehension of the road environment begins in the blink of an eye.

How to Cite:

Wolfe, B. & Fridman, L. & Kosovicheva, A. & Seppelt, B. & Mehler, B. & Rosenholtz, R. & Reimer, B., (2017) “Perceiving the Roadway in the Blink of an Eye-Rapid Perception of the Road Environment and Prediction of Events”, Driving Assessment Conference 9(2017), 207-213. doi: https://doi.org/10.17077/drivingassessment.1637

Rights: Copyright © 2017 the author(s)

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Published on
28 Jun 2017
Peer Reviewed