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Individual differences and personality correlates of navigational performance in the virtual route learning task

机译:虚拟路线学习任务中导航性能的个体差异和个性关联

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摘要

© 2015 Elsevier Ltd. All rights reserved. Research on the mechanisms and processes underlying navigation has traditionally been limited by the practical problems of setting up and controlling navigation in a real-world setting. Thanks to advances in technology, a growing number of researchers are making use of computer-based virtual environments to draw inferences about real-world navigation. However, little research has been done on factors affecting human-computer interactions in navigation tasks. In this study female students completed a virtual route learning task and filled out a battery of questionnaires, which determined levels of computer experience, wayfinding anxiety, neuroticism, extraversion, psychoticism and immersive tendencies as well as their preference for a route or survey strategy. Scores on personality traits and individual differences were then correlated with the time taken to complete the navigation task, the length of path travelled, the velocity of the virtual walk and the number of errors. Navigation performance was significantly influenced by wayfinding anxiety, psychoticism, involvement and overall immersive tendencies and was improved in those participants who adopted a survey strategy. In other words, navigation in virtual environments is effected not only by navigational strategy, but also an individual's personality, and other factors such as their level of experience with computers. An understanding of these differences is crucial before performance in virtual environments can be generalised to real-world navigational performance.
机译:©2015 Elsevier Ltd.保留所有权利。传统上,对导航机制和过程的研究受到现实环境中建立和控制导航的实际问题的限制。由于技术的进步,越来越多的研究人员正在使用基于计算机的虚拟环境来得出有关现实世界导航的推论。但是,关于影响导航任务中人机交互的因素的研究很少。在这项研究中,女学生完成了虚拟路线学习任务并填写了一系列调查表,确定了计算机体验的水平,寻找焦虑,神经质,外向性,精神病和沉浸性倾向以及他们对路线或调查策略的偏好。然后将人格特质和个体差异的分数与完成导航任务所需的时间,行进的路径长度,虚拟行走的速度和错误的数量相关联。导航性能受到寻路焦虑,精神病,参与和整体沉浸倾向的显着影响,并且在采用调查策略的参与者中得到了改善。换句话说,虚拟环境中的导航不仅受到导航策略的影响,而且还受到个人个性以及其他因素(例如他们在计算机上的经验水平)的影响。在将虚拟环境中的性能概括为实际的导航性能之前,了解这些差异至关重要。

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