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Supporting the eye tracking analysis of multiple moving targets: Design concept and algorithm
Conference proceeding

Supporting the eye tracking analysis of multiple moving targets: Design concept and algorithm

Ziho Kang, Ellen J Bass and IEEE
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), v 2014-(January), pp 3184-3189
Oct 2014
DOI: https://doi.org/10.1109/SMC.2014.6974418

Abstract

Accuracy Aircraft Algorithm design and analysis area of interest Eye tracking Indexes multiple target tracking Radar tracking Target tracking
Mapping eye tracking data for moving targets on computer displays is a difficult task due to the characteristics of the moving targets and the limited capabilities of the eye tracking systems. We introduce 1) a design concept to map eye fixations to moving targets, and 2) an algorithm that generates "target-based" eye tracking data that determines eye fixation order and duration specific to the moving targets. The mapping reduces the number of areas of interest (AOIs) required for the analysis by trading off AOI size and accuracy in correspondence with the targets of interest. Our resulting methodology was applied to a case study with an air traffic controller conducting a conflict detection task with multiple moving aircraft on a simulated radar screen. Benchmarking results show that a limited reduction in accuracy when considering the larger AOIs and the number of fixations on the targets. The methodology shows promise for supporting the analysis of eye tracking data for tracking multiple moving targets.

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2 citations in Web of Science
6 citations in Scopus

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Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Cybernetics
Computer Science, Information Systems
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