Real-Time Mobile Transition Matrix Entropy Based on Eye and Head Movements

Krejtz, Krzysztof; Hughes, Chris; Stasiak, Iga; Duchowski, Andrew; Krejtz, Izabela

Abstract

A novel second-order entropy-based oculometric, mobile transition matrix entropy (MTME), is presented for use in mobile eye tracking. Our approach calculates the MTME on the spheric gaze transition matrix, which is based on a sphere around each individual divided into equal-size plates (areas-of-interest). This approach allows for the correction of gaze location by head and body movements. Additionally, we demonstrate that the present approach is suitable for the calculation of eye movement entropy in real-time which opens the possibilities for use in human-computer interaction based on users' attention characteristics. We provide empirical evidence from a collaborative task focused on climate change mitigation, demonstrating that MTME effectively captures collaboration dynamics by differentiating between interaction phases and video viewing.
The paper presents the method's details and discusses the metric’s sensitivity and analytical utility.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: ACM Symposium on Eye Tracking Research & Applications
• Start Date: May 26, 2025
• End Date: May 29, 2025
• Acceptance Date: Mar 9, 2025
• Deposit Date: Apr 1, 2025
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1145/3715669.3723128
• Keywords: CCS Concepts • Applied computing → Psychology; • Mathematics of com- puting → Numerical analysis; • Computer systems organiza- tion → Real-time systems Keywords mobile eye tracking, gaze entropy, real-time, collaboration, spheric AOI, head-movement correction