在复杂和不确定的环境中理解人与决策支持工具之间的相互作用的认知建模:研究协议
Isaac Molina1, Edmundo Molina-Perez1, Fernanda Sobrino1
1School of Government and Public Transformation, Tecnologico de Monterrey, Mexico City, México.
PloS one
|October 5, 2023
概括
本研究探讨了计算智能工具 (CIT) 在复杂情况下如何影响人类决策. 这些发现将为CIT设计和我们对技术的理解提供信息.
科学领域:
- 认知科学 认知科学
- 人与计算机的交互
- 决策科学 决策科学 决策科学
背景情况:
- 计算智能工具 (CITs) 在面对流行病和气候变化等复杂的全球挑战时,对决策日益至关重要.
- 了解CIT与人类认知之间的相互作用对于优化决策过程至关重要.
- 有效地利用决策者的认知资源需要深入了解他们与先进技术工具的互动.
研究的目的:
- 研究计算智能工具 (CIT) 在复杂和不确定的环境中对决策结果的影响.
- 在使用CIT时探索认知特征,神经活动,生理反应和决策之间的关系.
- 为个人如何与解决问题的技术工具互动提供全面的理解.
主要方法:
- 一个探索性的混合方法研究,采用所罗门的小组实验设计.
- 收集认知数据 (整合复杂性,认知灵活性,流体智能),神经活动 (NA),生理测量 (PM) 和眼睛跟踪 (ET) 数据.
- 在2年时间内,包括120名本科生和研究生在决策任务中,严格遵守道德准则.
主要成果:
- 该研究预计将对CIT对决策的认知,行为和生理影响产生重大见解.
- 结果将阐明各种认知和生理过程在使用CIT时对决策结果的边际影响.
- 数据将揭示个人认知能力与CIT在复杂问题解决中的有效性之间的关系.
结论:
- 这些发现将为CIT在现实世界复杂场景中的设计和应用提供有价值的信息.
- 这项研究增强了对人与技术相互作用的理解,特别是在决策环境中.
- 这项研究有助于更深入地理解在技术辅助问题解决过程中的主观评估和认知过程.
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