Task-Dependent Efficiency: An Eye-Tracking Comparison of 2D and 3D Data Visualizations

IF 3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Xiaoyan Li, Qi Wang
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引用次数: 0

Abstract

The present study investigates the comparative reading efficiency of two-dimensional (2D) and three-dimensional (3D) data visualizations in the conveyance of high-dimensional data information. Two experiments were conducted using bar graphs (Experiment 1) and scatterplots (Experiment 2) to examine the effect of context demands through data localization, comparison, and prediction tasks. The analyses of behavioral and eye-tracking measurements suggested that 3D data visualizations were less effective for localization tasks compared to their 2D counterparts, while performance in tasks of comparison and prediction demonstrated comparable efficiency. Eye movement patterns demonstrated that 2D visualizations facilitated reliance on familiar cognitive schemas, whereas 3D formats, particularly scatterplots, required mixed and often less efficient viewing strategies. These findings underscore the cognitive demands posed by 3D visual displays and emphasize the importance of optimizing visual formats to enhance user comprehension and information transmission.

Abstract Image

任务依赖效率:2D和3D数据可视化的眼动追踪比较
本研究探讨了二维(2D)和三维(3D)数据可视化在高维数据信息传输中的比较阅读效率。实验采用柱状图(实验1)和散点图(实验2),通过数据定位、比较和预测任务来考察情境需求的影响。对行为和眼球追踪测量的分析表明,与2D数据可视化相比,3D数据可视化在定位任务中的效果较差,而在比较和预测任务中的表现则显示出相当的效率。眼动模式表明,2D视觉化促进了对熟悉的认知图式的依赖,而3D格式,特别是散点图,需要混合且往往效率较低的观看策略。这些发现强调了3D视觉显示带来的认知需求,并强调了优化视觉格式以增强用户理解和信息传递的重要性。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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