Paper
14 April 2023 Research on elderly friendly design of mobile application user interface
Anlan Fan, Liang Chen, Ruiqiu Zhang, Ruoheng Lao
Author Affiliations +
Proceedings Volume 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022); 1261204 (2023) https://doi.org/10.1117/12.2673004
Event: International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 2022, Zhuhai, China
Abstract
Aiming at the emerging issues of Chinese aging population in the context of social digitization, the elderly behaviours and habits when using applications on smart phone were studied in order to understand the inconvenience and obstacle they often encounter. Through mining and analyzing scatter data obtained by capturing the gaze areas and touch locations on the screen, the method of nested square data statistics was used in different modules of user interface. Data fit and variance analysis were conducted by utilizing MatLab and probabilistic models of Mathematical Statistics, which could set up the behaviours mathematical model of elderly user when using mobile applications. Finally, a principle of "senior mode" user interface design for mobile applications was proposes.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anlan Fan, Liang Chen, Ruiqiu Zhang, and Ruoheng Lao "Research on elderly friendly design of mobile application user interface", Proc. SPIE 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 1261204 (14 April 2023); https://doi.org/10.1117/12.2673004
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KEYWORDS
Design and modelling

Human-machine interfaces

Statistical analysis

Data modeling

Mathematical modeling

Analytical research

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