Coordinating Humans and Automation: Calibrating Trust in Automation Using Sonification

这项研究的重点是使用声音来增加人类和自动化系统之间的信任。声化类似于可视化，通过传递丰富的连续动态信息而超越了传统的听觉警告。信任的概念为利用声效来揭示自动化系统的能力和促进适当的依赖提供了理论基础。有四个目标，1)确定超声如何校准信任，2)扩展对信任及其在人-自动化伙伴关系中的作用的理解，3)应用动态系统理论来描述人-自动化协调，以及4)评估超声在多人共享自动化系统控制的设置中的普遍性。提出的工作有助于声学的科学基础及其与群体动力学的关系，并应通过提高自动化环境中的人类安全来造福社会。

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.