Practical considerations for low-cost eye tracking: An analysis of data loss and presentation of a solution

Abstract

This paper presents data loss figures from three experiments, varying in length and visual complexity, in which low-cost eye tracking data were collected. Analysis of data from the first two experiments revealed higher levels of data loss in the visually complex task environment and that task duration did not appear to impact data loss. Results from the third experiment demonstrate how data loss can be mitigated by including periodic eye tracking data quality assessments, which are described in detail. The paper concludes with a discussion of overall findings and provides suggestions for researchers interested in employing low-cost eye tracking in human subject experiments.