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

IF 2.5 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE PeerJ Computer Science Pub Date : 2024-12-24 eCollection Date: 2024-01-01 DOI:10.7717/peerj-cs.2561
M Waseem Iqbal, Khlood Shinan, Shahid Rafique Shahid Rafique, Abdullah Alourani, M Usman Ashraf, Nor Zairah Ab Rahim
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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.

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在线应用程序在用户环境中的可用性和优化。
OptiFlow框架引入了一种新的方法来增强可用性评估和优化,称为OptiFlow。该框架将启发式评估与基于web的平台相结合,为在线应用程序中的评估和优化用户体验提供了一种全面的方法。OptiFlow的架构集成了用户、网站、web服务和库等关键组件,实现了无缝交互和数据交换。一套240条可用性指南,来自多学科专家合作,系统地分为15个可用性类别,与既定的设计原则保持一致。OptiFlow中的指导方针被分配了实现级别:“绿色”表示容易实现的指导方针,“琥珀色”表示中等复杂的指导方针,“红色”表示高度复杂的指导方针。这些级别根据复杂性和可行性对任务进行优先排序。该框架将指南集成到结构化SQL数据库中,简化了实现挑战,“执行”功能系统地评估网站对指南的遵守情况,从而得出True, False或Null结果。可用性评估结果通过每个实现级别的分类和优先级数据视图呈现,允许涉众有效地处理高优先级问题。OptiFlow框架代表了可用性评估的创新方法,促进了丰富的用户体验和精细调整的数字界面。未来的发展可能包括额外的规则类型和高级技术的集成,以应对复杂的可用性挑战。最终,OptiFlow为不断发展的数字环境中的主动用户体验增强和数字界面优化铺平了道路。
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来源期刊
PeerJ Computer Science
PeerJ Computer Science Computer Science-General Computer Science
CiteScore
6.10
自引率
5.30%
发文量
332
审稿时长
10 weeks
期刊介绍: PeerJ Computer Science is the new open access journal covering all subject areas in computer science, with the backing of a prestigious advisory board and more than 300 academic editors.
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