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Impact of personality factors on interface interaction and the development of user profiles: Next steps in the personal equation of interaction

机译：人格因素对界面交互和用户配置文件发展的影响：个人交互方程式的下一步

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摘要

These current comparative studies explore 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 three psychometric measures designed to assess Locus of Control, Big Five Extraversion, and Big Five Neuroticism. Participants were then asked to complete procedural learning tasks in each interface. Results demonstrated that all three measures predicted completion times. Additionally, analyses demonstrated that personality factors also predicted the number of insights participants reported while completing the tasks in each interface. Furthermore, we used the psychometric findings in conjunction with a follow-up psychometric survey with a further 50 participants to build initial user profiles based on the cognitive task being undertaken. We discuss how these findings advance our ongoing research in the Personal Equation of Interaction.
机译：这些当前的比较研究在两项研究中探讨了在交互可视化和菜单驱动的网络表中，人格因素的个体差异对界面交互和学习行为的影响。对参与者进行了三种心理测量，旨在评估控制源，大五外向性和大五神经质。然后要求参与者在每个界面中完成程序学习任务。结果表明，所有三种措施均预测完成时间。此外，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。此外，我们将心理测量结果与后续的心理测量调查结合使用，对另外50名参与者进行了跟踪，以根据进行的认知任务建立初始用户资料。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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