'Whatcha’ lookin’ at: Using Eye-Tracking Technology for ID Verification

Document Type

Conference Proceeding

Publication Date

2024

Abstract

Professional screeners verify identification cards (IDs) across several security settings. However, research has shown that identity verification tasks can be error-prone. Across two experiments, we investigated the sources of these errors using behavioral (i.e., accuracy, reaction time) and physiological (i.e., eye tracking metrics) indices. Both experiments involved 48 trials, during which participants verified whether an ID matched a person in a video (E1) or the ID was authentic (E2) using six response options ranging from definitely no to definitely yes. Preliminary E1 results established surprising findings regarding the relationship between performance and eye movements (i.e., gaze fixations and durations). Although data collection and analyses are ongoing for E2, this research will increase our knowledge of perceptual differences in facial recognition with evolving technologies. Within security settings, the data will be able to illuminate identity screening trends to reduce security risks resulting from fraudulent IDs.

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