A methodology for studying cognitive groupings in a target-tracking task

Abstract

In the present research, a special form of cluster analysis was successful in revealing cognitive groupings having appreciable influence on task performance in a target-tracking task designed to resemble ATC. The method of cluster analysis was derived from the "virtual associative network" model of memory organization and applied to the record of eye fixations in the course of task performance. Results using inexperienced subjects showed fixation clustering consistent with Gestalt factors. Task objectives did not seem to affect grouping as much. The subjects' recall was generally poor, except where direct manipulation of targets occurred. We conclude that: 1) cognitive grouping influences performance; 2) recall techniques may not be able to elicit subjects' cognitive groupings; and 3) such groupings can be determined via analysis of eye fixations. These findings have implications for studying workload assessment and information structuring in complex visual scanning tasks.

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