Human Scheduling of Perceptual Tasks

该项目旨在开发一种新的方法，用于综合人们如何将注意力和决策理论与信息优先级相结合。在难度和成本/效益之间的权衡，不同的子任务的特点低效调度将允许一个正式的计算模型，概括的排名顺序数据的统计模型的调度决策和任务完成的时间理论的发展。结果包括基准数据从一个新的范式研究感性的决定和行为和模型，可以解释和预测人类的调度。该项目旨在通过允许人类代理在复杂环境中模拟信息优先级来使行业受益。

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.