Toward Guidelines for Designing Holistic Integrated Information Visualizations for Time-Critical Contexts: Systematic Review.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2024-11-20 DOI:10.2196/58088
Ahmed Mohammed Patel, Weston Baxter, Talya Porat
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Abstract

Background: With the extensive volume of information from various and diverse data sources, it is essential to present information in a way that allows for quick understanding and interpretation. This is particularly crucial in health care, where timely insights into a patient's condition can be lifesaving. Holistic visualizations that integrate multiple data variables into a single visual representation can enhance rapid situational awareness and support informed decision-making. However, despite the existence of numerous guidelines for different types of visualizations, this study reveals that there are currently no specific guidelines or principles for designing holistic integrated information visualizations that enable quick processing and comprehensive understanding of multidimensional data in time-critical contexts. Addressing this gap is essential for enhancing decision-making in time-critical scenarios across various domains, particularly in health care.

Objective: This study aims to establish a theoretical foundation supporting the argument that holistic integrated visualizations are a distinct type of visualization for time-critical contexts and identify applicable design principles and guidelines that can be used to design for such cases.

Methods: We systematically searched the literature for peer-reviewed research on visualization strategies, guidelines, and taxonomies. The literature selection followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The search was conducted across 6 databases: ACM Digital Library, Google Scholar, IEEE Xplore, PubMed, Scopus, and Web of Science. The search was conducted up to August 2024 using the terms ("visualisations" OR "visualizations") AND ("guidelines" OR "taxonomy" OR "taxonomies"), with studies restricted to the English language.

Results: Of 936 papers, 46 (4.9%) were included in the final review. In total, 48% (22/46) related to providing a holistic understanding and overview of multidimensional data; 28% (13/46) focused on integrated presentation, that is, integrating or combining multidimensional data into a single visual representation; and 35% (16/46) pertained to time and designing for rapid information processing. In total, 65% (30/46) of the papers presented general information visualization or visual communication guidelines and principles. No specific guidelines or principles were found that addressed all the characteristics of holistic, integrated visualizations in time-critical contexts. A summary of the key guidelines and principles from the 46 papers was extracted, collated, and categorized into 60 guidelines that could aid in designing holistic integrated visualizations. These were grouped according to different characteristics identified in the systematic review (eg, gestalt principles, reduction, organization, abstraction, and task complexity) and further condensed into 5 main proposed guidelines.

Conclusions: Holistic integrated information visualizations in time-critical domains are a unique use case requiring a unique set of design guidelines. Our proposed 5 main guidelines, derived from existing design theories and guidelines, can serve as a starting point to enable both holistic and rapid processing of information, facilitating better-informed decisions in time-critical contexts.

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为关键时刻设计整体综合信息可视化的指南:系统回顾。
背景:面对来自各种不同数据源的大量信息,以一种便于快速理解和解释的方式呈现信息至关重要。这一点在医疗保健领域尤为重要,因为及时了解病人的病情可以挽救生命。将多个数据变量整合到单一可视化表示中的整体可视化可提高快速的态势感知能力,并支持知情决策。然而,尽管针对不同类型的可视化有许多指南,但本研究显示,目前还没有设计整体综合信息可视化的具体指南或原则,以便在时间紧迫的情况下快速处理和全面理解多维数据。要想在时间紧迫的情况下加强各领域的决策制定,尤其是医疗保健领域的决策制定,解决这一差距至关重要:本研究旨在建立一个理论基础,支持整体综合可视化是时间关键型环境下一种独特的可视化类型这一论点,并确定可用于此类情况设计的适用设计原则和指南:我们系统地搜索了有关可视化策略、指南和分类法的同行评审研究文献。文献选择遵循 PRISMA(系统综述和元分析首选报告项目)指南。检索在 6 个数据库中进行:ACM 数字图书馆、Google Scholar、IEEE Xplore、PubMed、Scopus 和 Web of Science。使用术语("可视化 "或 "可视化")和("指南 "或 "分类法 "或 "分类标准")进行搜索,搜索时间截至 2024 年 8 月,研究仅限于英语:在 936 篇论文中,有 46 篇(4.9%)被纳入最终评审。其中,48%(22/46)的论文涉及对多维数据的整体理解和概述;28%(13/46)的论文侧重于综合呈现,即把多维数据整合或组合成单一的可视化呈现;35%(16/46)的论文涉及时间和快速信息处理设计。总之,65%(30/46)的论文介绍了一般的信息可视化或视觉传达指南和原则。在时间紧迫的情况下,没有发现任何具体的指导方针或原则涉及整体、综合可视化的所有特征。我们从 46 篇论文中提取、整理并归类了 60 项有助于设计整体综合可视化的关键指南和原则。这些准则根据系统综述中确定的不同特征(如格式塔原则、缩减、组织、抽象和任务复杂性)进行了分组,并进一步浓缩为 5 项主要的拟议准则:结论:时间紧迫领域的整体综合信息可视化是一种独特的使用案例,需要一套独特的设计准则。我们从现有的设计理论和指导原则中提出的 5 条主要指导原则,可以作为一个起点,实现信息的整体和快速处理,从而在时间紧迫的情况下做出更明智的决策。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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