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

通过视觉交互进行合作协助：复杂环境中的感知和问题解决

• 批准号: 9502289
• 负责人: Erika Rogers
• 金额: $ 14.28万
• 依托单位: Clark Atlanta University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-07-15 至 1998-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9502289&HistoricalAwards=false
• 关键词: Cooperative; Assistance; through; Visual; Interaction

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.

在这个建议中的研究解决视觉问题解决的性质及其对合作系统的设计，帮助和提高人类在复杂的任务环境中的表现的影响。 该项目的第一个目标是扩展感知和解决问题的相互作用的认知理论，重点是特定的视觉解决问题的任务。 将对以前收集的诊断放射学领域的方案数据进行更广泛的分析， 额外 还将收集和分析来自地理信息系统等第二个视觉解决问题应用程序的数据。 这项工作的结果 预计将导致视觉交互的改进模型，以及人们如何使用视觉信息的更全面的理论， 解决好 该项目的第二个目标是将这一认知理论应用于智能交互式开发中。 系统 这 提供 援助 到 人类决策者 在 医疗等任务 诊断 和地理 图像判读 的 设计 将 将其纳入一些工作原型中，以证明概念的证明，并为测试和评估潜在的认知原则提供实用平台。 整个研究项目将在一个全面的背景下进行， 教育 程序 这 强调 在新发展的计算机科学课程的几个核心课程的视觉解决问题的援助的发展。