Flight Testing an Optionally Piloted Aircraft: A Case Study on Trust Dynamics in Human-Autonomy Teaming

This paper examines how trust is formed, maintained, or diminished over time in the context of humanautonomy 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.

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Publication Details

Published
2025-05-26
DOI
https://doi.org/10.1109/ichms65439.2025.11154200
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
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article

Flight Testing an Optionally Piloted Aircraft: A Case Study on Trust Dynamics in Human-Autonomy Teaming

David Dunwoody, Ming Hou, Jeremy C. H. Wang, Carl Pigeon et al.
Air Traffic Management and Optimization
article

Flight Testing an Optionally Piloted Aircraft: A Case Study on Trust Dynamics in Human-Autonomy Teaming

David Dunwoody, Ming Hou, Jeremy C. H. Wang, Carl Pigeon, E Chao, Marko Ilievski, Justin Tomasi
article en

Abstract

This paper examines how trust is formed, maintained, or diminished over time in the context of humanautonomy 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.

Defence Research and Development Canada (CA), Canadian Armed Forces (CA), CNIB Foundation (CA)
Openalex Percentile: Top 67%
Air Traffic Management and Optimization
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Flight Testing an Optionally Piloted Aircraft: A Case Study on Trust Dynamics in Human-Autonomy Teaming — David Dunwoody, Ming Hou, et al. · (2025) | TGRS Research Map | TGRS