【作者】 曲庆峰； 侯文君；

【Author】 Qu Qingfeng, Hou Wenjun Automation School, Beijing University of Posts and Telecommunications, Beijing 100876, China

【机构】 北京邮电大学自动化学院；

【摘要】 我们生活在一个被纷繁复杂的信息所包围的环境中,如何将这些信息进行筛选、抑制,有效地进行选择性注意,影响我们是否能正确的完成任务。本文以游戏为平台,通过设定虚拟驾驶实验,将被试以熟练驾驶者和新手驾驶者分类,通过记录分析驾驶者行为以及访谈,研究有无任务目标及目标数量刺激对被试的选择性注意的影响。研究结果表明任务目标决策确实会影响人的选择性注意,并根据上述研究内容得到了一个基于任务目标的选择性注意分配模型。更多还原

【Abstract】 We live in an environment surrounded by complex information; the way to select or restrain all of the information could make the selective attention effectively, and impact whether we can complete the task correctly finally. In this paper, a virtual driving test is designed and the game as a platform. The test record and analysis the operation behavior of participants, which classified into 2 parts: skilled and novice, as well as interview. Research the factors of whether have a task target or not, and the number of simulated targets which could impact selective attention. The result shows that the decision-making of task targets could affect the person’s selective attention, and finally get a distribution model of selective attention base on the target of a task-based.更多还原