Optimised analysis of community medical APP user experience under cognitive load theory
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, obj...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/39/e3sconf_ewre2020_02063.pdf |
| _version_ | 1818689834092331008 |
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| author | Han Peng Xu Liyuan Lv Xiaochen |
| author_facet | Han Peng Xu Liyuan Lv Xiaochen |
| author_sort | Han Peng |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T12:16:24Z |
| format | Article |
| id | doaj.art-ae925103e5fd4e2fa2d51e05c4f4d77e |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-17T12:16:24Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-ae925103e5fd4e2fa2d51e05c4f4d77e2022-12-21T21:49:09ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011790206310.1051/e3sconf/202017902063e3sconf_ewre2020_02063Optimised analysis of community medical APP user experience under cognitive load theoryHan Peng0Xu Liyuan1Lv Xiaochen2Qingdao HuanghaiUniversityBeijing Sport UniversityQingdao HuanghaiUniversityBased 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/39/e3sconf_ewre2020_02063.pdf |
| spellingShingle | Han Peng Xu Liyuan Lv Xiaochen Optimised analysis of community medical APP user experience under cognitive load theory E3S Web of Conferences |
| title | Optimised analysis of community medical APP user experience under cognitive load theory |
| title_full | Optimised analysis of community medical APP user experience under cognitive load theory |
| title_fullStr | Optimised analysis of community medical APP user experience under cognitive load theory |
| title_full_unstemmed | Optimised analysis of community medical APP user experience under cognitive load theory |
| title_short | Optimised analysis of community medical APP user experience under cognitive load theory |
| title_sort | optimised analysis of community medical app user experience under cognitive load theory |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/39/e3sconf_ewre2020_02063.pdf |
| work_keys_str_mv | AT hanpeng optimisedanalysisofcommunitymedicalappuserexperienceundercognitiveloadtheory AT xuliyuan optimisedanalysisofcommunitymedicalappuserexperienceundercognitiveloadtheory AT lvxiaochen optimisedanalysisofcommunitymedicalappuserexperienceundercognitiveloadtheory |