Location

Olympic Valley — Lake Tahoe, California

Date

28-6-2011

Session

Session 3 – Poster Session A

Abstract

In this paper we introduce a 'vehicle tracking' task, which tests the ability of a driver to track the location of multiple vehicles on the roadway. Based on the 'multiple object tracking' task (Pylyshyn & Storm, 1988), the vehicle tracking task presents the driver with an array of identical vehicles immediately in front of the subject vehicle. The task consists of three distinct stages: encoding, during which the target vehicles are indicated to the driver; tracking, during which all vehicles change lanes in a random order; and report, during which the participant indicates the final location of the target vehicles. Using this methodology, we test the accuracy with which university-aged drivers can track multiple vehicles in a 3-lane highway driving scenario. Our particular interest in this paper is how the ability to attend to multiple vehicles changes as task load increases.

Rights

Copyright © 2011 the author(s)

DC Citation

Proceedings of the Sixth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, June 27-30, 2011, Olympic Valley — Lake Tahoe, California. Iowa City, IA: Public Policy Center, University of Iowa, 2011: 144-150.

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Jun 28th, 12:00 AM

Attentional Tracking of Multiple Vehicles in a Highway Driving Scenario

Olympic Valley — Lake Tahoe, California

In this paper we introduce a 'vehicle tracking' task, which tests the ability of a driver to track the location of multiple vehicles on the roadway. Based on the 'multiple object tracking' task (Pylyshyn & Storm, 1988), the vehicle tracking task presents the driver with an array of identical vehicles immediately in front of the subject vehicle. The task consists of three distinct stages: encoding, during which the target vehicles are indicated to the driver; tracking, during which all vehicles change lanes in a random order; and report, during which the participant indicates the final location of the target vehicles. Using this methodology, we test the accuracy with which university-aged drivers can track multiple vehicles in a 3-lane highway driving scenario. Our particular interest in this paper is how the ability to attend to multiple vehicles changes as task load increases.