校准工人对智能自动化系统的信任
Gale M Lucas1, Burcin Becerik-Gerber2, Shawn C Roll3
1USC Institute for Creative Technologies, University of Southern California, Los Angeles, CA, USA.
Patterns (New York, N.Y.)
|November 21, 2024
概括
这项研究重新评估了对自动化的校准信任,更新了对现代智能系统的定义. 它强调了在不断发展的自动化工作场所中准确的信任判断.
科学领域:
- 人与计算机的交互
- 自动化和机器人技术
- 组织心理学 组织心理学
背景情况:
- 自动化日益普及,需要对对这些系统的信任有批判性的理解.
- 现有的对自动化的信任模型是为不太聪明的机器开发的,这限制了它们对当前先进技术的适用性.
- 现代自动化展示了增强的智能和交互能力,需要对信任校准进行修订的框架.
研究的目的:
- 重新评估和更新对自动化校准信任的一般理解.
- 将这种更新的理解应用于工人对工作场所自动化信任的背景.
- 将高度智能和交互式自动化系统的细微差别纳入信任模型.
主要方法:
- 对自动化模型的开创性信任的文献综述.
- 对不断发展的自动化能力及其对信任的影响进行概念分析.
- 对自动化中的校准信任概念的理论修订.
主要成果:
- 确定了当代智能自动化现有信任模型的局限性.
- 提出了对自动化进行校准信任的更新定义,以适应先进的AI和交互式系统.
- 强调需要新的框架来评估和管理对人机协作的信任.
结论:
- 对自动化进行校准信任的概念需要修订,以考虑到越来越智能和交互式的自动化系统.
- 准确的信任校准对于现代工作场所有效的人机协作至关重要.
- 需要进一步的研究来开发和验证对先进自动化信任的新模型.
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