VIRTUAL FORCE STIMULATION

虚拟力刺激

• 批准号: 6206358
• 负责人: DANA H. BALLARD
• 金额: $ 3.77万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-14 至 2000-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6206358
• 关键词: bioengineering /biomedical engineering; biomedical resource; cognition; computers; eye; informatics; mental disorders; nervous system; psychology; skeletal system

Our major focus is the development of a driving simulator using a virtual display, with eye and head position monitoring. We chose driving as a test paradigm to investigate perceptual and cognitive function in a natural environment. Driving provides a good environment to study short-term cognitive information processing since crucial unprocessed information leads to an obvious behavioral outcome in driver errors. It also allows investigation of natural behavior in a situation that is still constrained enough to draw theoretically rigorous inferences. The relation of attention deficits to driver errors has been well established. Such deficits are far more correlated with accident records than visual deficits. One of the problems with classical paradigms is arranging for `unattended' stimuli to influence performance without covert attention shifts. This problem is almost always approached by using very brief presentations, which leaves open the question of how attention is deployed under natural conditions. In our driving simulator we can observe an extended behavioral sequence while maintaining tight experimental control. Covert attention shifts can be controlled by manipulating the demands of the primary driving task. Recent Progress. The car was mounted on a six degree-of-freedom motion platform which provides vestibular input.

我们的主要重点是使用A开发驾驶模拟器 虚拟显示，并带有眼睛和头部位置监视。 我们选择了 作为测试范式驾驶以调查知觉和认知 在自然环境中起作用。 驾驶提供了好的 研究短期认知信息处理的环境，因为 关键的未经处理的信息导致明显的行为结果 在驱动程序错误中。 它还允许调查自然行为 仍然受到理论上绘制的情况仍然足够限制 严格的推论。 注意力缺陷与驾驶员的关系 错误已经确定。 这样的赤字更多 与事故记录相关，而不是视觉缺陷。 中的一个 经典范式的问题正在安排“无人看管” 刺激会影响性能而不会掩盖注意力转移。 几乎总是通过简短来解决这个问题 演示文稿，这留下了关注的问题 部署在自然条件下。 在我们的驾驶模拟器中，我们可以 观察延长的行为序列，同时保持紧密 实验控制。 秘密注意力转移可以由 操纵主要驾驶任务的需求。 最近的 进步。 汽车安装在六个自由度的运动上 提供前庭输入的平台。