移动应用用户界面设计改进可用性工程中的用户效率模型

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of ICT Research and Applications Pub Date : 2020-07-28 DOI:10.5614/itbj.ict.res.appl.2020.14.1.2
Gladina Desideria, Y. Bandung
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引用次数: 3

摘要

设计人员在设计移动应用程序的用户界面时经常面临挑战或困难。信息必须清晰地传达给用户,并且具有美观的外观和良好的可发现性。一种广泛使用的传递信息的方法是将用户的注意力引导到与其任务相关的组件上。我们提出了一个在用户注意力模型中考虑用户效率的推荐系统。它可以为设计师提供建议,以改善最有效的组件的外观。该推荐系统旨在帮助设计人员在可用性工程的迭代过程中,特别是将用户的注意力引导到最有效的组件上。该系统分析用户的实际注意力,然后根据各分量的能量与基线能量进行对比,对用户界面进行细化。我们提出的模型成功地将移动学习应用程序的效率从83.65%提高到85.58%,并提高了最有效组件的可发现性,从而减少了任务完成时间。
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User Efficiency Model in Usability Engineering for User Interface Design Refinement of Mobile Application
Designers are often confronted with challenges or difficulties when designing user interfaces for mobile applications. The information must be clearly delivered to the user and also have an aesthetic appearance and good discoverability. One widely used method for conveying information is directing user attention to a component that is related to his or her task. We propose a recommender system by considering user efficiency in a user attention model. It can give suggestions for designers to improve the appearance of the most efficient component. This recommender system is aimed to help designers in the iteration process of usability engineering, especially to direct user attention to the most efficient component. This system analyzes actual user attention and then refines the user interface based on the energy of each component compared with the baseline energy. Our proposed model successfully increased the efficiency of a mobile learning application from 83.65% to 85.58% and improved discoverability of the most efficient component, thus reducing the task completion time.
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来源期刊
Journal of ICT Research and Applications
Journal of ICT Research and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
1.60
自引率
0.00%
发文量
13
审稿时长
24 weeks
期刊介绍: Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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