论文标题
使用资源理性分析来了解交互式数据可视化中的认知偏见
Using Resource-Rational Analysis to Understand Cognitive Biases in Interactive Data Visualizations
论文作者
论文摘要
认知偏见是判断中的系统错误。数据可视化的研究人员探索了通过交互式数据可视化的认知偏见是否会转移到决策任务。同时，认知科学家将认知偏见重新解释为有限的时间和计算成本下的资源理性策略的产物。在本文中，我们主张通过约束的贝叶斯认知建模来整合资源理性分析，以了解数据可视化中的认知偏见。好处将是数据可视化用户的更现实的“有限理性”表示，并提供了研究路线图，以通过未来的实验与理论之间的反馈循环研究数据可视化的认知偏见
Cognitive biases are systematic errors in judgment. Researchers in data visualizations have explored whether cognitive biases transfer to decision-making tasks with interactive data visualizations. At the same time, cognitive scientists have reinterpreted cognitive biases as the product of resource-rational strategies under finite time and computational costs. In this paper, we argue for the integration of resource-rational analysis through constrained Bayesian cognitive modeling to understand cognitive biases in data visualizations. The benefit would be a more realistic "bounded rationality" representation of data visualization users and provides a research roadmap for studying cognitive biases in data visualizations through a feedback loop between future experiments and theory
