E-CODEM: Interactive Learning for Complex Decision Making

本项目研究如何通过行为来提高复杂环境中的决策能力。 使用交互式学习环境的培训、智能辅导和认知支持。海流 提案包括三个阶段。第一阶段旨在调查认知支持需求，即更好地 描述是什么让复杂性变得如此难以处理，以及导致糟糕结果的行为。 这一阶段包括使用模拟试验台和系统的人在回路中的实验 操纵复杂系统的各种属性(复杂性因素)。结果将允许派生出 在这些情况下，解释成功/失败的个人和行为因素的量化模型。在……里面 第二阶段，我们将从该模型派生出一个基于上下文的规范工具，用于改进决策 行为。规范工具将采取智能辅导的形式，提供关于以下方面的纠正反馈 决策者的行为，并包括一个认知支持模块，以促进使用更多 全面的策略而不会使认知能力超负荷。第二阶段将涉及 开发和验证基于模拟的培训工具和程序，称为E-CODEM(以下简称 用于复杂决策的计算机培训)。第三阶段涉及将调查范围扩大到 团队背景，以确定团队工作挑战的特征和关键支持需求。这 该项目将促进对决策所需人员培训需求的科学理解 复杂的情景和测试方法(交互式学习环境、智能辅导、认知 支持工具)来改善认知准备情况。规范模式和互动学习环境 与决策支持模块相结合，将成为各种领域的研究人员和从业者的宝贵工具 包括国防、安全、教育和管理等领域。

This project investigates how decision making in complex environments may be enhanced through behavioural training, intelligent tutoring and cognitive support using an interactive learning environment. The current proposal includes three phases. Phase 1 aims to investigate cognitive support requirements, i.e., to better characterize what makes complexity so difficult to deal with and behaviours responsible for poor outcomes. This phase involves human-in-the-loop experimentation using a simulated testbed and a systematic manipulation of various attributes of the complex system (factors of complexity). Results will allow deriving a quantitative model of the individual and behavioural factors that explain success/failure in these situations. In Phase 2, we will derive from that model a context-based prescriptive tool for improving decision making behaviours. The prescriptive tool will take the form of an intelligent tutor that provides corrective feedback on the decision maker's behaviour and include a cognitive support module to promote the use of more comprehensive strategies without overloading cognitive capacity. This second phase will involve the development and validation of a simulation-based training tool and procedure called E-CODEM (which stands for Computer-Based Training for Complex Decision Making). Phase 3 involves extending this investigation to a team context in order to characterize the teamwork challenges and identify key support requirements. This project will advance the scientific understanding of human training requirements for decision making in complex situations and test approaches (interactive learning environments, intelligent tutoring, cognitive support tools) to improve cognitive readiness. The prescriptive model and interactive learning environment combined with the decision support module will be valuable tools for researchers and practitioners in a variety of domains such as defense, security, education and management.