Eye-Movement Metrics of Human Cognition

a subprogram of

Cognitive Models and Metrics

POC

Roger Remington, Ph.D, NASA AFH N-262 Rm. 238, (650) 604-6243 (voice), (650) 604-3323 (fax).
James Johnston, Ph.D, NASA AFH N-262 Rm. 240, (650) 604-5686 (voice), (650) 604-3323 (fax).
Lee Stone, Ph.D, NASA AFH N-262 Rm. 236, (650) 604-3240 (voice), (650) 604-0255 (fax).
Jeffrey Mulligan, Ph.D, NASA AFH N-262 Rm. 234, (650) 604-3745 (voice), (650) 604-0255 (fax).

BACKGROUND

Human error often arises from mistaken beliefs about the state of the world. These beliefs, like other aspects of cognition, are not directly observable, posing a problem for a cognitive analysis that could reveal the source of error. The pattern of information acquisition from visual displays, as revealed by patterns of eye fixation, promises to shed light on the cognitive processes that shape operator behavior, and lead to the generation of human error.

OBJECTIVES

The goal of this element is to develop direct tests of the usefulness of eye movements for inferring behaviors of interest. If successful, further efforts will be directed at developing a system for using eye fixation patterns to infer cognitive state that can be applied to man-in-the-loop simulations. The ultimate goal is a validated technique for finer analysis of operator information gathering strategies.

APPROACH

We first explore tasks for which the information requirements are well understood. For example, by having controllers make judgments that entail the use of altitude information it is possible to test whether eye movements directly reflect information gathering. Since altitude is available only in the data block, fixations necessary to read the information will be necessary. If successful, future manipulations will directly address how mistaken impressions of aircraft state can occur in the face of clearly disconfirmatory evidence.

LEVEL 3 MILESTONES

FY98 - Validation of Eye-Movement Metrics of Information Gathering in a Controlled Task
FY00 - Computational Model Relating Eye-Movements to Cognitive Strategy, Memory, & Errors
FY01 - Extend Eye-Movement Cognitive Metrics to Head-Free Eye-Tracking System
FY02 - Validation of Eye-Movement Cognitive Metrics to Complex Real-World
FY03 - Delivery of Hardware/Software Tools for Cognitive Workload Assessment Based on Eye-Movement Metrics