The Development of an Integrated Eye Tracker, Driving Simulator and Virtual Acoustic Environment

在美国国家科学基金会和工业合作伙伴的支持下，唐纳德·费舍尔博士和他的研究团队将开发一种最先进的基于视频的眼动仪，一个研究级驾驶模拟器和一个虚拟声学环境，它们彼此完全集成在一起。该系统由应用科学实验室开发的先进眼动追踪器、Illusion Technologies Incorporated开发的驾驶模拟器和模拟汽车混响特性的声学环境组成。计划中的系统将取代目前使用“移动窗口”范式的工具，该工具允许在心理语言学，阅读理解，视觉扫描和场景理解方面进行广泛的研究。用水平驾驶模拟器和音响设备进行的研究和研究训练将很好地补充和扩展正在进行的实验室活动。这将首次允许使用窗口和边界范式来研究复杂、动态显示的基本认知过程，这些范式已经成功地应用于更简单的情况。要检查的潜在行为范围也将扩大。心理学和沟通障碍的研究人员可以使用眼睛和头部跟踪设备来研究声音的定位和检测。运动科学家可以利用驾驶反应的详细信息来研究随着年龄增长而减慢的运动过程。增加对复杂动态显示的视觉扫描和在现实、高压力条件下的动态决策的理解也将成为可能。在更实际的层面上，所提出的基础研究将为车载避碰装置的发展提供第一步。

Fisher With support from the National Science Foundation and industrial collaborators, Dr. Donald Fisher and his research team will develop a state-of-the-art video based eye tracker, a research level driving simulator and a virtual acoustic environment which are fully integrated with one another. The system consists of an advanced eye tracker to be developed by Applied Sciences Laboratory, a driving simulator developed by Illusion Technologies Incorporated and an acoustic environment which mimics or simulates the reverberant characteristics of an automobile. The planned system would supersede a current instrument which makes use of a "moving window" paradigm, and which permits a wide range of research in psycholinguistics, reading comprehension, visual scanning and scene comprehension. The research and research training that will be undertaken with the level driving simulator and sound equipment will nicely complement and extend the ongoing laboratory activities. It would, for the first time, allow the study of the basic cognitive processes in complex, dynamic displays using window and boundary paradigms that have been successfully employed in more simple situations. The range of potential behaviors to be examined will also expand. Researchers and psychology and communications disorders can use the eye and head tracking equipment to study sound localization and detection. Exercise scientists can use detailed information on driving responses to study the slowing of motor processes with advancing age. Increased understanding of visual scanning of complex dynamic displays and dynamic decision making in realistic, highly stressful conditions will also be possible. On a more practical level, the basis research proposed will provide a first step in the development of in-vehicle collision avoidance devices.