Eye tracking with mobile participants

眼动追踪是一种用于记录和测量眼动的方法，是研究感知和认知过程的最有价值的工具之一。它的优点是技术发展完善，是衡量当前处理的实时、在线行为的一种手段。四个研究实验室联合提交了这一申请。他们都有不同用途的眼动追踪经验。我们已经使用眼动追踪来确定哪些视觉信息对语音理解是重要的，哪些信息支持视听感知。此外，我们还进行了其他视觉场景感知的研究，例如视觉艺术和自然场景的感知。我们已经研究了运动和静态表面的基本视觉感知。然而，在所有这些工作中，我们的研究受到了我们目前实验室中的眼动跟踪系统收集数据所需的人工条件的限制。刺激必须在2D显示器（计算机显示器）中呈现，并且参与者的感知活动受到严重限制。他们被要求保持“静态”的头部位置，因此在谈话和视觉搜索过程中避免自然运动。在这个应用程序中，我们要求一个新的眼动跟踪系统，允许受试者移动，并在更自然的范式收集高质量的数据的资金。

Eye tracking, a method used to record and measure eye movements, is one of the most valued tools for studying perceptual and cognitive processes. It has the advantage of well-developed techniques and of being a measure of real-time, online behaviour of current processing. Four research laboratories are jointly submitting this application. All have experience with eye tracking for different uses. We have used eye tracking to determine what visual information is important for speech comprehension and what information supports audiovisual perception. In addition, we have pursued other studies of visual scene perception such as the perception of visual arts and natural scenes. We have studied basic visual perception of motion and static surfaces. In all of this work, however, our studies have been constrained by artificial conditions required to collect data in the eye-tracking systems we currently have in our laboratories. The stimuli had to be presented in 2D displays (computer monitors) and the participants were severely restricted in their perceptual activity. They were required to maintain 'static' head position and therefore to refrain from natural movements during conversation and visual search. In this application, we request funds for a novel eye tracking system that permits subjects to move and for high-quality data to be collected in more naturalistic paradigms.