Coordinating Humans and Automation: Calibrating Trust in Automation Using Sonification

协调人类与自动化：使用可听化校准自动化中的信任

• 批准号: 0117494
• 负责人: John Lee
• 金额: $ 28.45万
• 依托单位: University of Iowa
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-10-01 至 2006-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0117494&HistoricalAwards=false
• 关键词: Coordinating; Humans; Automation; Calibrating; Trust

This research focuses on the use of sonification to increase trust between humans and automated systems. Sonification is analogous to visualization and surpasses traditional auditory warnings by conveying a rich array of continuous dynamic information. The concept of trust provides a theoretical basis for using sonification to reveal the capabilities of automated systems and promote appropriate reliance. There are four objectives, 1) identify how sonification can calibrate trust, 2) expand the understanding of trust and its role in human-automation partnerships, 3) apply dynamical systems theory to describe human-automation coordination, and 4) evaluate the generality of sonfication for settings in which multiple people share control of automated systems. The proposed work contributes to the scientific basis of sonification and its relation to group dynamics and should benefit society by increasing human safety in automated environments.

这项研究的重点是使用可听化来增加人类和自动化系统之间的信任。可听化类似于可视化，通过传达丰富的连续动态信息，超越了传统的听觉警告。信任的概念为使用可听化来揭示自动化系统的功能并促进适当的信任提供了理论基础。有四个目标，1）确定声音化如何校准信任，2）扩大对信任及其在人机伙伴关系中的作用的理解，3）应用动力系统理论来描述人机协调，4）评估声音化在多人共享自动化系统控制的环境中的普遍性。拟议的工作有助于奠定可听化的科学基础及其与群体动态的关系，并通过提高自动化环境中的人类安全来造福社会。