Collaborative Research: HCC: Small: Bridging Research and Visualization Design Practice via a Sustainable Knowledge Platform

合作研究:HCC:小型:通过可持续知识平台桥接研究和可视化设计实践

基本信息

  • 批准号:
    2146868
  • 负责人:
  • 金额:
    $ 35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-04-01 至 2026-03-31
  • 项目状态:
    未结题

项目摘要

This project aims to help align visualization practice with state-of-the-art empirical research around visualization effectiveness. This alignment is critical because a wide range of professionals in sectors including government, business, engineering, and journalism are adopting data visualizations for data analysis connected to social issues. However, their data analysis and visualization work is often not well-informed by empirical research. Designers are often self-taught, while practitioner-focused design guidelines are often not substantiated by empirical evidence of their effectiveness and come from different and sometimes inconsistent sources. Often, those sources are not researchers; although there have been some efforts to develop research-backed guidelines and visualization tools, on balance, the research community has not made a concerted effort to make its results usable for practitioners. This, in turn, leads to less effective visualizations that can harm both decision-making and public understanding. This project aims to bridge this knowledge gap by building a comprehensive platform for improving access to and learning about effective visualization design and promoting informed, evidence-based design practice.The project is organized around three research thrusts. The first thrust will explore the knowledge gap by examining the current state of design practice and empirical research. The project will survey the landscape of existing guidelines, collect a dataset of more and less accurate and accessible visualization examples, and analyze overlaps and discrepancies of these guidelines and visualizations with what is known from empirical research studies. This analysis of artifacts will be complemented by interviews with practitioners and researchers that focus on the practices and challenges they have around knowledge transfer. The second thrust will consolidate the data collection and analysis to develop an ontological framework for scaffolding visualization design knowledge, along with a knowledge-based platform where people can browse, discuss, and maintain an evolving list of guidelines, empirical evidence, and relevant visualization examples. The final thrust will go beyond knowledge management to production and dissemination. The project will employ a citizen science approach to investigate the unexplored design space in real-world visualizations that involve design elements absent in typical empirical studies. The platform will also provide a programming interface to enable novel external applications such as intelligent design assistants and educational assessment tools.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目旨在帮助将可视化实践与围绕可视化有效性的最新实证研究保持一致。这种一致性至关重要,因为政府,商业,工程和新闻业在内的各个部门的广泛专业人员都在采用数据可视化来进行与社会问题相关的数据分析。但是,他们的数据分析和可视化工作通常没有得到实证研究的明智信息。设计师通常是自学成才的,而以从业者为中心的设计指南通常不会通过其有效性的经验证据来证实,并且来自不同的,有时甚至不一致的来源。通常,这些来源不是研究人员。尽管已经做出了一些努力来制定研究支持的指南和可视化工具,但总的来说,研究界并未做出一致的努力来使其结果可用于从业者。反过来,这会导致效率较低的可视化,从而损害决策和公众理解。该项目旨在通过建立一个综合平台来改善对有效的可视化设计和促进知情,基于证据的设计实践的综合平台来弥合这一知识差距。该项目围绕三个研究推力组织。第一个推力将通过研究设计实践和实证研究的当前状态来探索知识差距。该项目将调查现有准则的格局,收集一个越来越准确,更易于访问的可视化示例的数据集,并通过经验研究中的知名度分析这些指南的重叠和差异。对工件的分析将通过对从业人员和研究人员的访谈进行补充,这些研究人员和研究人员都专注于他们在知识转移周围所面临的实践和挑战。第二个推力将巩固数据收集和分析,以开发一个本体论框架,用于脚手架可视化设计知识,以及基于知识的平台,人们可以在该平台上浏览,讨论和维护不断发展的准则,经验证据和相关可视化示例。最终的推力将超越知识管理对生产和传播。该项目将采用一种公民科学方法来研究现实世界中未开发的设计空间,这些设计空间涉及典型的经验研究中不存在的设计元素。该平台还将提供一个编程界面,以启用新颖的外部应用程序,例如智能设计助理和教育评估工具。该奖项反映了NSF的法定任务,并使用基金会的知识分子优点和更广泛的影响评估审查标准,被认为值得通过评估。

项目成果

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Nam Wook Kim其他文献

ChatGPT in Data Visualization Education: A Student Perspective
ChatGPT 在数据可视化教育中的应用:学生的视角
  • DOI:
    10.48550/arxiv.2405.00748
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nam Wook Kim;Hyung;Grace Myers;Benjamin Bach
  • 通讯作者:
    Benjamin Bach
DataSelfie: Empowering People to Design Personalized Visuals to Represent Their Data
DataSelfie:让人们能够设计个性化视觉效果来表示他们的数据
Beyond Alternative Text and tables: Comparative Analysis of Visualization Tools and Accessibility Methods
超越替代文本和表格:可视化工具和辅助方法的比较分析
  • DOI:
    10.1111/cgf.14833
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Nam Wook Kim;Grace Ataguba;Shakila Cherise S. Joyner;Chuangdian Zhao;Hyejin Im
  • 通讯作者:
    Hyejin Im
Enhancing Data Literacy On-demand: LLMs as Guides for Novices in Chart Interpretation.
按需提高数据素养:法学硕士作为图表解释新手的指南。
VizAbility: Multimodal Accessible Data Visualization with Keyboard Navigation and Conversational Interaction
VizAbility:具有键盘导航和对话交互的多模式可访问数据可视化

Nam Wook Kim的其他文献

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