ITR - (EVS+ASE) - (int+sim): Rapid Evaluation of User Interfaces in Multitasking Environments

ITR - (EVS ASE) - (int sim)：多任务环境中用户界面的快速评估

• 批准号: 0426674
• 负责人: Dario Salvucci
• 金额: $ 100万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-15 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0426674&HistoricalAwards=false
• 关键词: ITR; EVS+ASE; int+sim; Rapid; Evaluation; ITR; EVS+ASE; int+sim; Rapid; Evaluation

Over the past decade we have witnessed an astounding surge in computing devices and interfaces off the desktop and into the multi-tasking environments of the real world. In this project, the PI will develop a rigorous computational architecture, the Task-Integrated-Modeling (TIM) architecture, and an associated methodology for evaluating user interfaces in complex multitasking environments. The TIM architecture centers on integrating cognitive models of behavior with the interface in the context of the multitasking environment, using "cognitive architectures" to represent and simulate user cognition and behavior. Based on these models, the architecture allows a designer to rapidly evaluate new interfaces through stages of rapid prototyping, task demonstration, integrated model creation, and computational simulation. The theory behind the architecture and the system itself will account not only for various aspects of human multitasking but also of individual differences, facilitating robust modeling of a range of user populations. As a test domain for the architecture, the project will focus on the domain of driving, particularly the use of device interfaces in the vehicle and the study of different driver populations (e.g., younger vs. older drivers). The PI will implement a rapid development and evaluation system for new in-vehicle interfaces that attempts to minimize potential driver distraction from these interfaces. In addition, shared Internet libraries of software applications, toolkits, and cognitive models will be created, for dissemination to and use by academic researchers as well as industry designers and developers.Broader Impacts: Through collaborations with academic researchers and industry experts, the PI will rigorously address the problem of driver distraction (currently the leading cause of crashes in the United States), helping to explore the sources of distraction and helping to devise rigorous methods of improving the safety of our vehicles and roadways. The computational infrastructure developed will not only advance our theoretical understanding of human cognition, but also realize these theories in real-world practical systems. The project will involve diverse populations, directly by including under-represented groups in research work and summer workshops, and indirectly by exploring how individual differences may affect interface use and multi-tasking. Locally, the related education plan will result in new courses in human-computer interaction, cognitive systems, and off-the-desktop computing at Drexel University, providing a unified HCI curriculum for roughly 40-50 students per year in the HCI track and even more across the Computer Science Department and the University as a whole. The PI will also initiate an annual educational and hands-on HCI workshop for high-school students in West Philadelphia, focusing on the under-represented minority populations in these neighborhoods, in the hope of exciting and inspiring these students to pursue further education and careers in fields related to people and technology.

在过去的十年中，我们目睹了计算设备和接口台面以及现实世界中的多任务环境的惊人激增。 在此项目中，PI将开发严格的计算体系结构，任务集成模型（TIM）体系结构以及用于评估复杂多任务环境中用户界面的相关方法。 TIM体系结构以多任务环境的上下文中的“认知体系结构”来代表和模拟用户认知和行为，将行为的认知模型与界面集成在一起。 基于这些模型，该体系结构允许设计人员通过快速原型制作，任务演示，集成模型创建和计算模拟来快速评估新的接口。 体系结构和系统本身背后的理论不仅将考虑到人类多任务的各个方面，还将解释个体差异的各个方面，从而促进了一系列用户群体的稳健建模。 作为该体系结构的测试域，该项目将重点放在驾驶领域，尤其是在车辆中使用设备界面以及对不同驾驶员种群的研究（例如，年轻的驾驶员与老年驱动程序）。 PI将针对新的车载界面实施快速开发和评估系统，该系统试图最大程度地减少潜在的驱动因素分散这些接口的注意力。 In addition, shared Internet libraries of software applications, toolkits, and cognitive models will be created, for dissemination to and use by academic researchers as well as industry designers and developers.Broader Impacts: Through collaborations with academic researchers and industry experts, the PI will rigorously address the problem of driver distraction (currently the leading cause of crashes in the United States), helping to explore the sources of distraction and helping to devise rigorous methods of improving the safety我们的车辆和道路。 开发的计算基础架构不仅会提高我们对人类认知的理论理解，而且还将在现实世界中实现这些理论。 该项目将直接通过在研究工作和夏季讲习班中包括代表性不足的群体，并通过探索个体差异如何影响界面使用和多任务处理，直接涉及不同的人群。 在本地，相关的教育计划将为Drexel University的人类计算机互动，认知系统和外观计算机提供新的课程，为HCI轨迹的每年大约40-50名学生提供统一的HCI课程，在计算机科学系和整个大学中提供更多的学生。 PI还将为西费城的高中生举办年度教育和动手HCI研讨会，重点关注这些社区中代表性不足的少数群体，以期激发这些学生在与人和技术有关的领域中寻求进一步的教育和职业。