Human Scheduling of Perceptual Tasks

人类感知任务的调度

• 批准号: DP240100979
• 负责人: A/Prof Daniel Little
• 金额: $ 20.39万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240100979
• 关键词: Human; Scheduling; Perceptual; Tasks

This project aims to develop a novel approach for synthesising how people prioritise information with theories of attention and decision making. Characterising inefficient scheduling in the tradeoff between the difficulty and the cost/benefit of different subtasks will allow the development of a formal computional model that generalises statistical models of rank order data to a theory of the timing of scheduling decisions and task completions. Outcomes include benchmark data from a novel paradigm for studying perceptual decisions and behavior and a model which can explain and predict human scheduling. This project aims to benefit industry by allowing for the simulation of information prioritisation by human agents in complex environments.

这个项目旨在开发一种新的方法来综合人们如何用注意力和决策理论来确定信息的优先顺序。在不同子任务的难度和成本/收益之间权衡低效调度的特征将允许开发正式的计算模型，该模型将排序数据的统计模型概括为调度决策和任务完成的时间的理论。结果包括一种用于研究知觉决策和行为的新范式的基准数据，以及一个可以解释和预测人类日程安排的模型。该项目旨在通过允许模拟人类代理人在复杂环境中的信息优先排序来使工业受益。