User-task co-adaptation for effective interactive simulation environments

用户-任务协同适应有效的交互式模拟环境

• 批准号: DP160102037
• 负责人: Prof Dr Hussein Abbass
• 金额: $ 39.91万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160102037
• 关键词: User; task; co; adaptation; effective

This project aims to deliver smart interactive simulation environments in which users and simulation tasks work together. This project aims to create novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. Interactive simulation environments are the backbone for evaluating concepts, designs, products and advanced training systems in industry and government organisations. By bringing the user naturally inside the simulation as a task's component, users can improve their experience while task performance is simultaneously optimised. Intended outcomes include novel dynamic user-task profiling algorithms and new adaptive algorithms for user-task co-adaptation. Practical outcomes may include robust and highly effective simulation environments.

该项目旨在提供智能交互仿真环境，其中用户和仿真任务可以一起工作。该项目旨在创建新颖的自适应算法，以自动发现共同变化的用户和任务特征，以智能地适应用户和模拟任务，使其和谐，无缝和有效地协同工作。交互式仿真环境是工业和政府组织评估概念、设计、产品和先进培训系统的支柱。通过将用户作为任务的组成部分自然地带入模拟，用户可以在优化任务性能的同时改善他们的体验。预期成果包括新的动态用户任务分析算法和新的用户任务协同自适应算法。实际结果可能包括鲁棒和高效的仿真环境。