首页> 外文会议>Human Factors and Ergonomics Society 43rd Annual Meeting Vol.2 Houston, Texas September 27-October 1,1999 >A componential model of human interaction with graphs. IV: holistic and analytical perception of star graphs
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A componential model of human interaction with graphs. IV: holistic and analytical perception of star graphs

机译:人与图形交互的组成模型。 IV:星图的整体和分析感知

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Multivariate graphs, such as star graphs, are increasingly popular displays for complex data sets. One advantage claimed for these graphs is that users can engage perceive the data holistically. This experiment used star graphs to examine whether subjects' performance improved when they had an object cue as part of the stars in a task that involved selecting an outlier from a display of four stars. The outlier star differed only on one of five legs with the position of the differing leg varying systematically. Individual subject's response times (RT's) showed two patterns: sensitivity to the position of the different leg (suggesting an analytical strategy) and insensitivity to position (suggesting a holistic strategy). The object cue improved performance for the "holistic perceivers", but not for the "analytical perceivers". The research suggests that an object cue can help some, but not all users of a multivariate graph and that assessing users' perceptual processing strategy can be important in evaluating the effectiveness of display design features.
机译:诸如星形图之类的多元图越来越成为复杂数据集的流行显示。这些图要求保护的一个优点是,用户可以全面地感知数据。该实验使用星图检查对象在作为目标的一部分作为星的一部分时的表现是否有所改善,该任务涉及从四颗星的显示中选择一个离群值。离群星仅在五个分支中的一个分支上有所不同,不同分支的位置系统地变化。个体受试者的响应时间(RT)显示两种模式:对另一条腿的位置敏感(建议一种分析策略)和对姿势不敏感(建议一种整体策略)。对象提示改善了“整体感知器”的性能,但没有改善“分析感知器”的性能。研究表明,对象提示可以帮助多变量图的部分用户,但不是所有用户,并且评估用户的感知处理策略对评估显示设计功能的有效性可能很重要。

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