The Role of Latency and Task Complexity in Predicting Visual Search Behavior
The Role of Latency and Task Complexity in Predicting Visual Search Behavior
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DOI：
10.1109/tvcg.2019.2934556
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发表时间：
2020-01-01
影响因子：
5.2
通讯作者：
Stonebraker, Michael
中科院分区：
文献类型：
--
作者：
Battle, Leilani;Crouser, R. Jordan;Stonebraker, Michael
人们普遍认为可视化系统中的延迟会以可测量的方式影响用户行为，例如要求用户等待可视化系统响应，从而导致分析流的中断。尽管经常观察到这种效果并被广泛接受，但延迟如何影响不同的分析方案的理解程度不高。在本文中，我们研究了潜伏在视觉搜索背景下的作用，这是使用可视化觅食和探索的重要任务。我们对亚马逊机械土耳其人进行了一系列研究，发现在某些条件下，延迟是视觉搜索行为的统计学意义预测指标，这与先前的研究一致。但是，我们的结果还表明，任务类型，任务复杂性和其他因素可以调节潜伏期的效果，在某些情况下，在预测用户行为方面使延迟在统计学上无关紧要。这表明对潜伏期的作用比以前报道的更细微的看法。在这些结果和先前研究的结果的基础上，我们提出了设计指南，以测量和解释延迟在评估绩效对视觉搜索任务的影响。
Latency in a visualization system is widely believed to affect user behavior in measurable ways, such as requiring the user to wait for the visualization system to respond, leading to interruption of the analytic flow. While this effect is frequently observed and widely accepted, precisely how latency affects different analysis scenarios is less well understood. In this paper, we examine the role of latency in the context of visual search, an essential task in data foraging and exploration using visualization. We conduct a series of studies on Amazon Mechanical Turk and find that under certain conditions, latency is a statistically significant predictor of visual search behavior, which is consistent with previous studies. However, our results also suggest that task type, task complexity, and other factors can modulate the effect of latency, in some cases rendering latency statistically insignificant in predicting user behavior. This suggests a more nuanced view of the role of latency than previously reported. Building on these results and the findings of prior studies, we propose design guidelines for measuring and interpreting the effects of latency when evaluating performance on visual search tasks.