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在线应用程序在用户情境中的可用性与优化。

Usability and optimization of online apps in user's context.

作者信息

Iqbal M Waseem, Shinan Khlood, Shahid Rafique Shahid Rafique, Alourani Abdullah, Ashraf M Usman, Rahim Nor Zairah Ab

机构信息

Faculty of Artificial Intelligence (FAI), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Malaysia.

Department of Software Engineering, Superior College, Lahore, Lahore, Punjab, Pakistan.

出版信息

PeerJ Comput Sci. 2024 Dec 24;10:e2561. doi: 10.7717/peerj-cs.2561. eCollection 2024.

Abstract

The OptiFlow framework introduces a novel approach for enhancing usability evaluation and optimization known as OptiFlow. This framework combines heuristic evaluation with a web-based platform to provide a comprehensive method for assessing and optimizing user experiences in online applications. The architecture of OptiFlow incorporates key components, including the user, website, web service, and library, enabling seamless interaction and data exchange. A set of 240 usability guidelines, derived from a multidisciplinary expert collaboration, are systematically categorized into 15 usability categories, aligned with established design principles. Guidelines within OptiFlow are assigned implementation levels: "Green" for easily implementable guidelines, "Amber" for moderately complex ones, and "Red" for highly complex guidelines. These levels prioritize tasks based on complexity and feasibility. The framework's integration of guidelines into a structured SQL database simplifies implementation challenges, and the "execute" function systematically assesses website adherence to guidelines, resulting in True, False, or Null outcomes. Usability assessment outcomes are presented through categorized and prioritized data views for each implementation level, allowing stakeholders to address high-priority concerns efficiently. The OptiFlow framework represents an innovative approach to usability evaluation, fostering enriched user experiences and finely tuned digital interfaces. Future advancements may include additional rule types and the integration of advanced technologies for tackling intricate usability challenges. Ultimately, OptiFlow paves the way for proactive user experience enhancement and digital interface optimization in an ever-evolving digital landscape.

摘要

OptiFlow框架引入了一种名为OptiFlow的增强可用性评估与优化的全新方法。该框架将启发式评估与基于网络的平台相结合,为评估和优化在线应用程序中的用户体验提供了一种全面的方法。OptiFlow的架构包含关键组件,包括用户、网站、网络服务和库,实现了无缝交互和数据交换。通过多学科专家合作得出的一组240条可用性准则被系统地归类为15个可用性类别,与既定的设计原则保持一致。OptiFlow中的准则被赋予了实施级别:易于实施的准则为“绿色”,中等复杂的为“琥珀色”,高度复杂的为“红色”。这些级别根据复杂性和可行性对任务进行优先级排序。该框架将准则集成到结构化的SQL数据库中,简化了实施挑战,并且“执行”功能会系统地评估网站对准则的遵守情况,得出真、假或空的结果。可用性评估结果通过针对每个实施级别的分类和优先级数据视图呈现,使利益相关者能够有效地解决高优先级问题。OptiFlow框架代表了一种创新的可用性评估方法,促进了丰富的用户体验和精细调整的数字界面。未来的进展可能包括更多的规则类型以及集成先进技术以应对复杂的可用性挑战。最终,OptiFlow为在不断发展的数字环境中积极提升用户体验和优化数字界面铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b449/11784876/02891d2dbcbb/peerj-cs-10-2561-g001.jpg

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