ATC CrossModal EyeTracking Data

The data were generated by 10 participants under a 4 (Color) × 3 (Style) × 2 (Sound) mixed experimental design and collected using an SMI RED 50 eye tracker. Core fields in the dataset include participant information and independent variable conditions (Color, Style, Sound).

The data primarily cover task completion time and key eye-tracking metrics such as overall fixation count, saccade frequency, and scan-path length, the dataset also includes specific metrics for predefined Areas of Interest (AOIs), most notably the fixation count on the designated target AOI. The overarching goal of this experiment is to identify the most efficient combination of cues, thereby providing evidence-based recommendations for the design of ATC interfaces.