Abstract
For designing a qualified user interface, there needs to be a graphic expert, requirement analyst, system designer, programmer, technical expertise, social activity scientist, and experts for each field. However, it is extremely difficult for these various experts to participate in such user interface design. This paper focused on design rules and modeling techniques of user interfaces that can support user availability. The visual cohesion of business events can be improved by modeling the prototype of the object-oriented user interface based on the object. The clustering method uses transaction objects and forms objects based on business event objects and task objects. We have studied it in detail so that a prototype of the user interface can be created. The significance and conclusions of this study are as follows. First, visual cohesion is improved by designing the object of functional, sequential, and communicative objects. Second, the object design rules of the user interface were created so that even an inexperienced designer could create a high-quality prototype. Third, it enhances the user's preference, ease, understanding, compliance rate, and quality of graphic layout by improving object-based visual cohesion. Fourth, functional, sequential, communicative, and procedural cohesion of business events is increased by the clustering of user interface objects. As a result, this paper is providing a modeling method of user interface technique in the cloud environment that could enhance the visual cohesion of user interface prototypes.
Publisher
International Journal of Advanced and Applied Sciences
Reference12 articles.
1. Alhomoud A, Munir R, Disso JP, Awan I, and Al-Dhelaan A (2011). Performance evaluation study of intrusion detection systems. Procedia Computer Science, 5: 173-180.
2. Ferry N, Rossini A, Chauvel F, Morin B, and Solberg A (2013). Towards model-driven provisioning, deployment, monitoring, and adaptation of multi-cloud systems. In the IEEE Sixth International Conference on Cloud Computing, IEEE, Santa Clara, USA: 887-894. https://doi.org/10.1109/CLOUD.2013.133
3. Goonasekera N, Lonie A, Taylor J, and Afgan E (2016). CloudBridge: A simple cross-cloud python library. In the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, Association for Computing Machinery, Miami, USA: 1-8. https://doi.org/10.1145/2949550.2949648 PMid:34423340 PMCid:PMC8375622
4. Han J, Park S, and Kim J (2020). Dynamic overcloud: Realizing microservices-based IoT-cloud service composition over multiple clouds. Electronics, 9(6): 969. https://doi.org/10.3390/electronics9060969
5. Kim BS, Jung YW, Oh BT, Kim SY, Son S, Seo JH, and Kang DJ (2020). Multi-cloud technology introduction and research trends. Electronics and Telecommunications Trends, 35(3): 45-54. https://doi.org/10.22648/ETRI.2020.J.350305