Exploring the Adaptation of Mobile GUI to Human Motion Status
Yongquan 'Owen' Hu, Zhaocheng Xiang, Lihang Pan, Xiaozhu Hu, Yinshuai Zhang, Aaron John Quigley · 2023
The changing of display content of a GUI has an intuitive impact on readability and usability. One of the examples is when people look at the screen of a wearable device (e.g., smartphone, smartwatch) while moving, and they are particularly sensitive to the size of the display elements. In this work, we provide an initial exploration of adaptive interface for different human motion states. Specifically, we conducted an empirical study to explore the relationship between 4 mobile GUI element (text, image, icon, and hybrid) sizes and 4 different human motion states (sitting, standing, walking, and jogging), based on the select-and-click performances for 15 subjects. Our findings show the possibility of utilizing these data for GUI adaptive adjustment in different human motion states for improving selecting efficiency.