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Towards the Personal Equation of Interaction: The impact of personality factors on visual analytics interface interaction

机译:迈向个人互动方程式:人格因素对视觉分析界面互动的影响

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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.
机译:这些当前的研究在两项研究中探讨了个性化因素中个体差异对界面交互和学习表现行为的影响,包括交互式可视化和菜单驱动的网络表格。对参与者进行了3种心理测量,旨在评估控制源,外向性和神经质。然后要求参与者在每个界面中完成多项程序学习任务。结果表明,所有三种措施均预测了完成时间。此外,结果分析表明人格因素还可以预测参与者在完成每个界面中的任务时报告的见解数量。我们讨论了这些发现如何推动我们正在进行的“个人互动方程式”研究。

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