Suppr超能文献

练习可提高二维不确定性整合任务在可视化内部及跨可视化的表现。

Practice Improves Performance of a 2D Uncertainty Integration Task Within and Across Visualizations.

作者信息

Kusumastuti Sarah A, Pollard Kimberly A, Oiknine Ashley H, Dalangin Bianca, Raber Tiffany R, Files Benjamin T

出版信息

IEEE Trans Vis Comput Graph. 2023 Sep;29(9):3949-3960. doi: 10.1109/TVCG.2022.3173889. Epub 2023 Aug 1.

Abstract

Information uncertainty is ubiquitous in everyday life, including in domains as diverse as weather forecasts, investments, and health risks. Knowing how to interpret and integrate this uncertain information is vital for making good decisions, but this can be difficult for experts and novices alike. In this study, we examine whether brief, focused practice can improve people's ability to understand and integrate bivariate Gaussian uncertainty visualized via ensemble displays, summary displays, and distributional displays, and we examine whether this is influenced by the complexity of the displayed information. In two experiments (N=118 and 56), decision making was faster and more accurate after practice relative to before practice. Furthermore, the performance improvements transferred to use of display types that were not practiced. This suggests that practice with feedback may improve underlying skills in probabilistic reasoning and provides a promising approach to improve people's decision making under uncertainty.

摘要

信息不确定性在日常生活中无处不在,包括天气预报、投资和健康风险等各种领域。知道如何解读和整合这些不确定信息对于做出明智决策至关重要,但这对专家和新手来说都可能很困难。在本研究中,我们考察简短、有针对性的练习是否能提高人们理解和整合通过集合显示、汇总显示和分布显示呈现的二元高斯不确定性的能力,并且我们考察这是否受到所显示信息复杂性的影响。在两项实验(N = 118和56)中,相对于练习前,练习后决策速度更快且更准确。此外,性能提升转移到了未练习过的显示类型的使用上。这表明有反馈的练习可能会提高概率推理的潜在技能,并为改善人们在不确定性下的决策提供了一种有前景的方法。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验