Abstract

This paper explores consumer engagement in augmented reality (AR) shopping environments by employing spatiotemporal eye-tracking techniques and immersive user experience (UX) metrics. With the growing integration of AR in retail, understanding consumer behavior and engagement is essential for optimizing marketing strategies and enhancing user satisfaction. The study investigates how consumers interact with AR shopping applications, focusing on attention patterns, gaze trajectories, and emotional responses to virtual products. By analyzing spatiotemporal data, the research provides a comprehensive model for predicting consumer engagement levels based on eye-tracking data and UX feedback. Additionally, the study examines the implications of these findings for improving product placement, interface design, and the overall AR shopping experience. This work contributes to advancing the understanding of AR as a transformative tool in consumer behavior research, offering actionable insights for both practitioners and researchers in the field of retail technology and immersive media.