研究无人机人机协同中信任的动态变化，揭示影响信任的关键因素。
Flight Testing an Optionally Piloted Aircraft: a Case Study on Trust Dynamics in Human-Autonomy Teaming
- 通过多因素模型分析信任形成与变化机制
- 基于200小时飞行数据发现信任随情境波动
- 为未来人机信任设计提供实证依据
本文研究了在有人/无人协同飞机场景下，人机协同中信任的形成、维持与消退过程。传统基于因素的静态信任模型难以反映真实动态，本文探讨了基础因素变化如何影响信任水平、阈值及人类行为。分析了2021至2023年多轮测试中累计超过200小时的飞行数据，应用倾向-情境-习得、过程-性能-目的以及IMPACTS稳态信任模型，揭示正常自主飞行期间的信任趋势。研究结果为未来人机协同中的信任动态与可信任性设计提供了重要方向。
原文摘要 · Abstract (English)
This paper examines how trust is formed, maintained, or diminished over time in the context of human-autonomy teaming with an optionally piloted aircraft. Whereas traditional factor-based trust models offer a static representation of human confidence in technology, here we discuss how variations in the underlying factors lead to variations in trust, trust thresholds, and human behaviours. Over 200 hours of flight test data collected over a multi-year test campaign from 2021 to 2023 were reviewed. The dispositional-situational-learned, process-performance-purpose, and IMPACTS homeostasis trust models are applied to illuminate trust trends during nominal autonomous flight operations. The results offer promising directions for future studies on trust dynamics and design-for-trust in human-autonomy teaming.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。