Cross-platform usability and eye-tracking measurement and analysis model
Khalid A Majrashi, Margaret Hamilton, Alexandra L. Uitdenbogerd · 2014
Evaluating the usability of cross-platform interactive systems has become increasingly important. In this paper, we review the interpretations of current eye-movement metrics across several usability and HCI studies. We found that the existing eye-tracking metrics and their associated interpretations do not consider cross-platform usability (CPU) aspects. Therefore, taking into consideration the characteristics of user interaction with Multiple User Interfaces (MUIs), a usability-engineering model, which is called Eye Tracking Measurement and Analysis model for Cross-Platform Usability (CPU-EMA), has been developed. This model decomposed eye-tracking metrics for cross-platform usability into four high-level metrics, namely, cross-platform fixation, saccade, scanpath and gaze. The high-level metrics were further decomposed into low-level metrics with possible interpretations for cross-platform usability. The model also provided procedures for measuring and analysing cross-platform usability using eye-movement data.