| Issue |
E3S Web Conf.
Volume 179, 2020
2020 International Conference on Environment and Water Resources Engineering (EWRE 2020)
|
|
|---|---|---|
| Article Number | 02063 | |
| Number of page(s) | 5 | |
| Section | Environmental and Industrial Design | |
| DOI | https://doi.org/10.1051/e3sconf/202017902063 | |
| Published online | 23 July 2020 | |
Optimised analysis of community medical APP user experience under cognitive load theory
1 Qingdao HuanghaiUniversity, Qingdao City, Shandong Province, 266555, China
2 Beijing Sport University, Beijing City, 100084, China
* Corresponding author’s e-mail: 544253480@qq.com.
Based on community medical APP as the carrier, this paper studies the emotional and experiential process of community doctors using mobile community medical APP under different cognitive loads, and puts forward the improvement of product optimization. Firstly, based on the cognitive load theory, objective user data is obtained through cognitive load control experiments on target users. Second, ask the target user to fill in the Positive and Negative Affect Scale and System Usability Scale to obtain subjective user data. Finally, analyze the user’s subjective and objective data. Based on the analysis of experimental results and user observation, the improvement strategy is proposed to reduce the barriers to community doctors learning and using community medical apps.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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