建模人机交互中信任的动态变化，考虑表现差异与间歇通信。
Trust Modeling and Estimation in Human-Autonomy Interactions
- 用切换线性系统加事件触发采样建模信任动态。
- 基于51人实验数据，准确估计了信任变化规律。
- 适合研究人机协作、信任评估的学者与工程师。
自主系统控制技术的进步推动了其在各类场景中的应用。涉及人类参与的应用成败，关键在于自主系统与人类监管者之间的交互质量，而这又受监管者对系统的信任程度显著影响。现有文献缺乏能处理信任对系统表现不对称响应及人机通信间歇性的信任动态模型。本文提出一种基于切换线性系统的信任估计模型，结合事件触发采样机制，以捕捉上述特性。通过包含51名参与者的人机交互实验，收集了信任响应数据，并据此辨识出该模型的参数，构建了信任状态观测器。
原文摘要 · Abstract (English)
Advances in the control of autonomous systems have accompanied an expansion in the potential applications for autonomous robotic systems. The success of applications involving humans depends on the quality of interaction between the autonomous system and the human supervisor, which is particularly affected by the degree of trust that the supervisor places in the autonomous system. Absent from the literature are models of supervisor trust dynamics that can accommodate asymmetric responses to autonomous system performance and the intermittent nature of supervisor-autonomous system communication. This paper focuses on formulating an estimated model of supervisor trust that incorporates both of these features by employing a switched linear system structure with event-triggered sampling of the model input and output. Trust response data collected in a user study with 51 participants were then used identify parameters for a switched linear model-based observer of supervisor trust.
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