NSF Young Investigator

NSF 青年研究员

• 批准号: 9457628
• 负责人: Bonnie John
• 金额: $ 31.25万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-09-01 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9457628&HistoricalAwards=false
• 关键词: NSF; Young; Investigator

Current "engineering models of human performance" can predict the processes experts use to accomplish tasks with a computer system and the time it takes to complete these tasks. In this project the models are extended to predict the problem-solving behavior exhibited by novice computer users, learning in realistic situations, and their commission and detection of errors. As is the case with the previous models of expert users, these new models can be used by computer developers who understand the predictive power of these improved models of behavior to evaluate alternative interface approaches early in the specification stages of their design, even before running systems or prototypes are available.

目前的“人类表现的工程模型”可以预测 专家使用计算机完成任务的过程 系统和完成这些任务所需的时间。 在这 项目模型扩展到预测问题解决 行为表现出的新手计算机用户，学习在 现实情况，以及他们的犯罪和侦查 错误. 与以前的专家模型一样， 用户，这些新模型可以被计算机开发人员使用， 了解这些改进模型的预测能力， 早期评估替代接口方法的行为 甚至在运行之前， 系统或原型可用。