Mathematical Modeling of Computer Visual Syndrome Risk from Learning Application Design by UI/UX Approach and Runge-Kutta Differentiation

DOI

10.2991/978-94-6463-413-6_19How to use a DOI?

Keywords

Computer Vision Syndrome; user interface; user experience; heuristic method; Runge-Kutta differentiation Introduction

Abstract

Computer Vision Syndrome (CVS) due to long-term computer use is the number one occupational hazard of the 21st century with internal, external, and visual symptoms. This research aims to evaluate the UI/UX of the Balinese writing learning application based on user experience. The evaluation uses the heuristic method proposed by Nielsen and Molich to determine the level of CVS experienced by users. From the research data, it is known that duration has a significant effect (p < 0.05) on the level of CVS symptoms after using the application for 3–4 h, 4–5 h, and more than 5 h respectively at 29.46%, 34, 26%, and 36.28% previous implementation. From mathematical modeling using the Runge-Kutta differentiation method to model each parameter of CVS symptoms towards increasing CVS symptoms using a learning application, it shows that the use of an ergonomic drawing tablet learning application with a UI/UX approach provides a lower CVS prevalence of 38.2% so that the user’s eye health level in learning to write Modre Bali increases. Apart from the ergonomic drawing UI/UX design, the tablet can reduce the risk of internal ocular symptoms when using the application for a long time and tends to be stable.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - I Wayan Santiyasa
AU  - I G. N. A. Cahyadi Putra
AU  - I B. Alit Swamardika
PY  - 2024
DA  - 2024/05/13
TI  - Mathematical Modeling of Computer Visual Syndrome Risk from Learning Application Design by UI/UX Approach and Runge-Kutta Differentiation
BT  - Proceedings of the First International Conference on Applied Mathematics, Statistics, and Computing (ICAMSAC 2023)
PB  - Atlantis Press
SP  - 195
EP  - 203
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-413-6_19
DO  - 10.2991/978-94-6463-413-6_19
ID  - Santiyasa2024
ER  -