Towards the Personal Equation of Interaction: The impact of personality factors on visual analytics interface interaction
Towards the Personal Equation of Interaction: The impact of personality factors on visual analytics interface interaction
复制标题
迈向交互的个人方程：个性因素对可视化分析界面交互的影响
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Brian D. Fisher
中科院分区：
文献类型：
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作者：
T. M. Green;Brian D. Fisher
这些目前的研究探讨了在交互式可视化和菜单驱动的网络表在两项研究中的界面交互和学习绩效行为的个性因素的个体差异的影响。参与者被管理3心理测量旨在评估控制点，外倾性和神经质。然后要求参与者在每个界面中完成多个程序学习任务。结果表明，所有三个措施预测完成时间。此外，结果分析表明，个性因素也预测了参与者在完成每个界面中的任务时报告的见解数量。我们将讨论这些发现如何推进我们正在进行的研究在个人方程的互动。
These current studies explored the impact of individual differences in personality factors on interface interaction and learning performance behaviors in both an interactive visualization and a menu-driven web table in two studies. Participants were administered 3 psychometric measures designed to assess Locus of Control, Extraversion, and Neuroticism. Participants were then asked to complete multiple procedural learning tasks in each interface. Results demonstrated that all three measures predicted completion times. Additionally, results analyses demonstrated personality factors also predicted the number of insights participants reported while completing the tasks in each interface. We discuss how these findings advance our ongoing research in the Personal Equation of Interaction.