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

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从桌面转向现实世界的多任务环境的惊人激增。 在该项目中，PI 将开发严格的计算架构、任务集成建模 (TIM) 架构以及用于评估复杂多任务环境中的用户界面的相关方法。 TIM架构的核心是将行为的认知模型与多任务环境中的界面相集成，使用“认知架构”来表示和模拟用户的认知和行为。 基于这些模型，该架构允许设计人员通过快速原型设计、任务演示、集成模型创建和计算模拟阶段快速评估新界面。 架构和系统本身背后的理论不仅会考虑人类多任务处理的各个方面，还会考虑个体差异，从而促进对一系列用户群体的稳健建模。 作为该架构的测试领域，该项目将重点关注驾驶领域，特别是车辆中设备接口的使用以及不同驾驶员群体（例如年轻驾驶员与老年驾驶员）的研究。 PI 将为新的车载接口实施快速开发和评估系统，试图最大程度地减少驾驶员对这些接口的潜在干扰。 此外，还将创建软件应用程序、工具包和认知模型的共享互联网库，供学术研究人员以及行业设计人员和开发人员传播和使用。 更广泛的影响：通过与学术研究人员和行业专家合作，PI 将严格解决驾驶员分心问题（目前是美国车祸的主要原因），帮助探索分心的根源，并帮助制定严格的方法来提高我们的车辆和道路的安全性。 所开发的计算基础设施不仅将推进我们对人类认知的理论理解，还将在现实世界的实际系统中实现这些理论。 该项目将涉及不同的人群，直接通过将代表性不足的群体纳入研究工作和夏季研讨会，间接通过探索个体差异如何影响界面使用和多任务处理。 在当地，相关教育计划将在德雷塞尔大学开设人机交互、认知系统和离桌面计算等新课程，每年为 HCI 轨道上的大约 40-50 名学生提供统一的 HCI 课程，甚至整个计算机科学系和整个大学。 PI 还将为西费城的高中生发起一年一度的人机交互教育和实践研讨会，重点关注这些社区中代表性不足的少数群体，希望激发和激励这些学生继续接受教育和职业生涯在与人和技术相关的领域。