Research on the application of ergonomics in UI interface design-Reference-Cited by-同舟云学术

Research on the application of ergonomics in UI interface design

Published:2023-10-25 Issue:1 Volume:9 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Chen Zhiyong¹

Affiliation:

1. 1 College of Information Engineering , Liaodong University , Dandong, Liaoning, 118000 , China .

Abstract

Abstract This paper firstly discusses the design method and design process of UI interface based on ergonomics, focusing on applying ergonomics principles on interactive UI interface, and discusses the design of UI interface text and color respectively. Secondly, a resilient optimization design model based on the human-computer interaction UI interface is proposed, and the constraints of the first stage and the first stage resilient sub-model are constrained using the equivalence planning method, respectively. The results show that the new version of the interactive UI interface based on ergonomics has a maximum absolute value of 26.83 for the visual coefficient and a minimum of 0.58 for the short-term memory, which is significantly more inclusive than the old version of the UI interface. This paper’s research results are expected to offer a more scientific and reliable design method for UI interface design, which will have greater practical application value and promotion prospects.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2023.2.00787

Reference17 articles.

1. B, O. P. A., C, S. E., D, J. I. P., & B, O. P. (2019). An empirical comparative evaluation of gestui to include gesture-based interaction in user interfaces. Science of Computer Programming, 172(C), 232-263.

2. Leiva, L. A., Asutosh, H., & Antti, O. (2021). Interactive exploration of large-scale ui datasets with design maps. Interacting with Computers(5-6), 5-6.

3. Koroglu, Y., & Sen, A. (2020). Functional test generation from ui test scenarios using reinforcement learning for android applications. Software Testing, Verification and Reliability.

4. Ruiz, J., Asensio, E. S., & Snoeck, M. (2020). Learning ui functional design principles through simulation with feedback. IEEE Transactions on Learning Technologies, PP(99), 1-1.

5. Buehler, D., Hemmert, F., Hurtienne, J., & Petersen, C. (2022). Designing universal and intuitive pictograms (uipp) - a detailed process for more suitable visual representations. International journal of human-computer studies(163-), 163.