人类推理在数据知情决策中的认识论作用

IF 1.5 Q2 COMMUNICATION
Abdullah Kaan Zaimoglu, Lorien Pratt, Brian Fisher
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引用次数: 0

摘要

可视化分析是 2004 年提出的一项 "重大挑战",旨在建立一门跨学科的 "通过交互式可视化界面促进分析推理的科学"。可视化分析的目标是开发交互式可视化数据、信息和计算分析方法,以增强人类在分析和决策方面的专业知识。在本文中,我们将研究人类推理在数据分析和决策中的作用,重点关注为决策目的解释数据时的专业知识和客观性问题。为此,我们将可视化分析视角与决策智能相结合,决策智能是一个认知框架,强调计算数据分析、预测模型、可采取的行动以及这些行动的预测结果之间的联系。由于决策智能对业务能力和利益相关者的信念等因素进行建模,因此它必然会将客观数据分析扩展到专家决策的直观方面,如人类判断、价值观和道德。通过将这两个视角结合起来,我们相信研究人员将能更好地生成可操作的决策,在理想情况下有效利用人类的专业知识,同时消除偏见。本文旨在提供一个框架,说明决策智能如何利用可视化分析工具和人类推理来支持决策过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Epistemological role of human reasoning in data-informed decision-making
Visual analytics was introduced in 2004 as a “grand challenge” to build an interdisciplinary “science of analytical reasoning facilitated by interactive visual interfaces”. The goal of visual analytics was to develop ways of interactively visualizing data, information, and computational analysis methods that augment human expertise in analysis and decision-making. In this paper, we examine the role of human reasoning in data analysis and decision-making, focusing on issues of expertise and objectivity in interpreting data for purposes of decision-making. We do this by integrating the visual analytics perspective with Decision Intelligence, a cognitive framework that emphasizes the connection between computational data analyses, predictive models, actions that can be taken, and predicted outcomes of those actions. Because Decision Intelligence models factors of operational capabilities and stakeholder beliefs, it necessarily extends objective data analytics to include intuitive aspects of expert decision-making such as human judgment, values, and ethics. By combining these two perspectives we believe that researchers will be better able to generate actionable decisions that ideally effectively utilize human expertise, while eliminating bias. This paper aims to provide a framework of how Decision Intelligence leverages visual analytics tools and human reasoning to support the decision-making process.
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来源期刊
CiteScore
3.30
自引率
8.30%
发文量
284
审稿时长
14 weeks
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