Minimap:一个交互式的动态决策游戏,用于搜救任务
Thuy Ngoc Nguyen1, Cleotilde Gonzalez2
1Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA, 15213, USA.
Behavior research methods
|August 8, 2023
概括
Minimap是一个新的,灵活的游戏工具,用于研究复杂环境中的人类动态决策 (DDM). 它允许可定制的场景,以更好地复制研究和理解人类-AI合作.
科学领域:
- 认知科学 认知科学
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 现有的动态决策 (DDM) 微观世界缺乏灵活性和多样性.
- 研究人类DDM的基于浏览器的网格世界工具是有限的.
- 需要适应性环境来探索复杂的决策行为.
研究的目的:
- 介绍Minimap,这是一款用于检查人类DDM的新动态互动游戏.
- 为创建各种实验场景和设计提供灵活的平台.
- 促进在搜索和救援环境中研究人类行为的研究.
主要方法:
- 开发了Minimap,这是一个可定制的网格世界游戏,包含了基本的DDM特征.
- 启用了环境动态,复杂性,不透明性和动态复杂性的定制.
- 集成功能可用于可视化和重播人类轨迹,用于行为分析.
主要成果:
- 通过对结构复杂性和环境不透明性对时间限制下决策的影响的实验证明了Minimap的实用性.
- 突出了Minimap在受控的DDM任务中支持对人类行为的详细分析的能力.
- 展示了该工具在产生各种实验条件方面的有效性.
结论:
- Minimap为DDM研究提供了灵活和全面的解决方案.
- 该工具促进了人类行为研究的透明复制.
- Minimap在增强人类-人工智能合作研究和生产率方面具有潜在的应用.
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