Eye-tracking Data Analysis for Visual Exploration Assessment and Decision Making Interpretation in Virtual Reality Environments

This study presents an eye-tracking data analysis using ten different metrics aiming to complement the evaluation process of visual attention and decision making. We developed a virtual reality environment and used an eye-tracking device incorporated in a Head-Mounted Display to collect and analyze data. In the virtual environment, we included an activity that requires attention in the decision making process. 10 subjects participated in the activity that consists of solving a set of Raven's Progressive Matrices questions. The data generated in the questions solving process were analyzed. Results suggest that metrics such as spatial density, on-target fixation and time to first fixation provide insights that may help to improve the visual attention analysis, and thus, the decision making process.