CAREER: Promoting Metacognition in Visual Analytics

职业：促进视觉分析中的元认知

• 批准号: 2340539
• 负责人: Emily Wall
• 金额: $ 64.4万
• 依托单位: Emory University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-06-01 至 2029-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2340539&HistoricalAwards=false
• 关键词: CAREER; Promoting; Metacognition; Visual; Analytics

Data-driven decision-making requires the people engaged in it to make a number of choices about the data to collect, and the methods for collecting it and analyzing it, as well as the interpretation of the results. Cognitive, cultural, and data biases can interfere with these processes at every stage, requiring data analysts to be thoughtful and reflective as they do their work. This project’s goal is to help analysts reduce their biases through tools that help them critically assess their thought processes using metacognition, or thinking about thinking. Metacognition will be a guiding idea for developing tool features that help analysts be aware of possible biases. Studies of metacognition have shown that it can be helpful in other educational and analysis settings; this project will use ideas from those studies to develop methods that identify potential biases and present activities to help analysts avoid them. The project team will also create educational materials and work with non-profit partner organizations to help the general public think more deeply about their own analytic strategies and how they might be improved. This project will apply theories of metacognition to address human biases and improve decision-making processes on an individual level. The project is structured around four research thrusts. The researchers will first organize theories of metacognition and translate them into an actionable design space of metacognitive interventions in visual analytics (Thrust I). Next, the researchers will work alongside non-profit partner organizations to co-design and develop a suite of metacognitive interventions (Thrust II) and evaluate those interventions in a series of laboratory experiments (Thrust III). Finally, the researchers will assess the extent to which empirical findings translate to real-world efficacy in a case study deployment of metacognitive interventions (Thrust IV). This work will test whether meta-cognitive interventions, when successfully applied in data-driven decision-making, can both boost awareness of the technical accuracy of analytic results and foster more thoughtful, socially accountable, and diligent practices in data analysis.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.

数据驱动的决策要求参与其中的人们对要收集的数据做出许多选择，以及收集它和分析它的方法，以及对结果的解释。认知，文化和数据偏见可以在每个阶段干扰这些过程，要求数据分析师在完成工作时进行周到和反思。该项目的目标是通过工具来帮助分析师减少偏见，从而帮助他们使用metacongnition或思考思考来批判性地评估他们的思维过程。元认知将是开发工具功能的指导想法，以帮助分析师意识到可能的偏见。元认知的研究表明，它在其他教育和分析环境中可能会有所帮助。该项目将利用这些研究的想法来开发识别潜在偏见和目前活动以帮助分析师避免的方法。项目团队还将创建教育材料，并与非营利合作伙伴组织合作，以帮助公众更深入地思考自己的分析策略以及如何改善它们。该项目将应用元认知理论来解决人类偏见并改善个人层面的决策过程。该项目围绕四个研究推力进行结构。研究人员将首先组织元认知理论，并将其转化为视觉分析（推力I）中元认知干预措施的可行设计空间。接下来，研究人员将与非营利合作伙伴组织一起合作，共同设计和开发一套元认知干预措施（推力II），并在一系列实验室实验（推力III）中评估这些干预措施。最后，研究人员将评估经验发现转化为元认知干预措施（推力IV）的案例研究部署中的现实效率的程度。这项工作将测试元认知干预措施（成功地用于数据驱动的决策）是否可以提高人们对分析结果的技术准确性的认识，并在数据分析中促进更周到，对社会负责和勤奋实践。该奖项反映了NSF的法定任务，并通过使用基金会的范围来评估了支持的支持，并已被认为是对基金会的评估和广泛的评估。