Eye-Tracking and Biometric Feedback in UX Research: Measuring User Engagement and Cognitive Load

TL;DR

This paper investigates eye-tracking and biometric feedback as objective tools to measure user engagement and cognitive load in UX research, offering a complementary approach to traditional qualitative methods.

Contribution

It introduces new empirical methodologies and practical applications for integrating biometric data into UX research, addressing current challenges and advancing the field.

Findings

Biometric tools effectively measure subconscious user engagement.

Eye-tracking data correlates with cognitive load indicators.

Methodology enhances understanding of user interactions in complex interfaces.

Abstract

User experience research often uses surveys and interviews, which may miss subconscious user interactions. This study explores eye-tracking and biometric feedback as tools to assess user engagement and cognitive load in digital interfaces. These methods measure gaze behavior and bodily responses, providing an objective complement to qualitative insights. Using empirical evidence, practical applications, and advancements from 2023-2025, we present experimental data, describe our methodology, and place our work within foundational and recent literature. We address challenges like data interpretation, ethical issues, and technological integration. These tools are key for advancing UX design in complex digital environments.