对自动化信任的神经相关值:技术领域之间的考虑和概括性
Sarah K Hopko1, Ranjana K Mehta1
1Neuroergonomics Lab, Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, United States.
Frontiers in neuroergonomics
|January 18, 2024
概括
了解信任的神经相关性对于适应性系统至关重要. 本综述探讨了对信任的认识及其在技术领域的概括性.
科学领域:
- 神经科学是一个神经科学.
- 人与计算机的交互
- 网络安全 网络安全
背景情况:
- 在适应性和敏感系统中不断测量信任的需求越来越大.
- 生理学和神经学信任相关性对于人类循环系统和技术可靠性评估至关重要.
- 目前对信任神经相关的研究集中在网络和决策辅助技术上.
研究的目的:
- 审查当前对信任感知和影响因素的知识状态.
- 检查不同技术领域信任神经相关的概括性.
- 在各种技术环境中确定信任相关的局限性和潜在应用.
主要方法:
- 关于信任感知和神经相关的现有研究的文献综述.
- 分析影响各种技术领域信任的因素.
- 综合发现,以评估信任相关的概括性.
主要成果:
- 在网络和决策辅助技术之外,对信任的神经相关的理解有限.
- 生理学信任反应的概括性受到技术领域特征和用例的影响.
- 在不同的用例中,信任措施的稳定性仍然在很大程度上是未知的.
结论:
- 需要进一步的研究,以了解信任的神经相关的概括性在各种技术领域.
- 建立强大和可部署的信任措施需要考虑特定领域的因素和用例.
- 本综述强调了当前的知识差距以及人类与技术互动中的信任研究的未来方向.
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