RPG: Quantitative Assessment of Performance in Complex Multisensory Human-Interface Environments

这项规划赠款的目标是确定与复杂的多感官界面相关的重要人机界面设计问题，确定量化措施以评估使用这些界面的环境中的性能，并在康复社区中开发使用高级界面的项目。可能的应用包括虚拟现实治疗、基于网络的定量评估，以及医疗设备与电信的接口，以便在家庭中提供护理(远程护理)。该方法将从人机界面设计的角度探索潜在的先进界面，并探索在这种环境中量化性能的方法。在规划拨款的时间框架内，将完成两项任务：评估接口硬件和设计评估任务。人类作为信息处理器的理论模型可以帮助接近2D和3D任务的输入和输出设备的评估。将开发一个概念模型，以确定和评估这些设备的重要参数。特别是，将专注于人的控制回路，以优化人的表现。高级接口设备可以包括3D鼠标、手/手指跟踪器、头和眼睛跟踪器以及触觉接口。触觉界面特别令人感兴趣，例如力的相互作用和对人类表现的视觉反馈。将使用经典的人体性能方法来测试接口设备。将开发一个测试单元，以评估使用简单任务进行绩效评估的适当性。将使用基于Fitts定律的移动时间任务来测试电机控制的措施，并将使用经典的遥操作任务，如“钉在洞中”来测试接口设备的操作能力。

The objectives of this planning grant are to identify important human-interface design issues associated with complex multisensory interface, to identify quantitative measures to assess performance in environments that use these interfaces, and to develop projects using advanced interfaces in the rehabilitation community. Possible applications include virtual reality therapy, web-based quantitative assessment, and the interfacing of medical devices with telecommunications to provide care in the home (tele-care). The methodology will be to explore potential advanced interfaces from a human computer interface design perspective and also to explore methods for quantifying performance in such environments. Two tasks will be accomplished during the time frame of the planning grant, assessing interface hardware and designing evaluation tasks. Theoretical models of the human as an information processor can help to approach the evaluation of input and output devices for 2D and 3D tasks. A conceptual model will be developed to identify and assess the important parameters of these devices. In particular, the human control loop will be focused on to optimize human performance. Advanced interface devices may include 3D mice, hand/finger trackers, head and eye trackers, and haptic interfaces. Haptic interfaces are of particular interest such as the interaction of force and visual feedback on human performance. Classic human performance methods will be used to test the interface devices. A test battery will be developed to evaluate the appropriateness of using simple tasks for assessment of performance. Measures of motor control will be tested using a movement time task based on Fitts law and classic teleoperator tasks such as "peg in the hole" will be used to test manipulation capabilities of the interface devices.