Cooperative Assistance through Visual Interaction: Perception and Problem-Solving in Complex-Environments

本提案中的研究解决了视觉问题的本质及其对协作系统设计的影响，协作系统有助于并提高人类在复杂任务环境中的表现。该项目的第一个目标是扩展感知和问题解决相互作用的认知理论，重点是具体的视觉问题解决任务。将对诊断放射学领域先前收集的协议数据进行更广泛的分析，并将收集和分析来自第二个视觉问题解决应用程序（如地理信息系统）的额外数据。这项工作的结果有望导致视觉交互模型的改进，以及人们如何使用视觉信息来解决问题的更全面的理论。该项目的第二个目标是将这种认知理论应用于智能交互系统的开发，为人类决策者提供医疗诊断和地理图像解释等任务的帮助。该设计将被整合到许多工作原型中，以展示概念的证明，并为测试和评估潜在的认知原理提供实用平台。整个研究项目将在一个全面的教育计划的背景下进行，该计划强调在新发展的计算机科学课程的几个核心课程中开发视觉解决问题的辅助工具。

The research in this proposal addresses the nature of visual problem-solving and its impact on the design of cooperative systems which assist and enhance human performance in complex task environments. The first objective of the project is to extend the cognitive theory of perception and problem-solving interactions, with an emphasis on specific visual problem-solving tasks. More extensive analysis of previously collected protocol data in the field of diagnostic radiology will be carried out, and additional data from a second visual problem-solving application such as geographical information systems will be collected and analyzed as well. The results of this work are expected to lead to an improved model of visual interaction, and a more comprehensive theory of how people use visual information to solve problems. The second objective of the project is to apply this cognitive theory in the development of intelligent interactive systems which provide assistance to human decision-makers in tasks such as medical diagnosis and geographical image interpretation. The design will be incorporated into a number of working prototypes to demonstrate proof of concept as well as to provide practical platforms for testing and evaluation of underlying cognitive principles. The entire research project will be carried out in the context of a comprehensive educational program which emphasizes the development of visual problem-solving aids for several core courses in a newly evolving computer science curriculum.