Anneke Hamann, Alexander Heise, Helge Lenz, Anja Gampe
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引用次数: 0
Abstract
Automation has shaped aircraft design for the past seven decades, moving from fully manual control to highly automated systems. Despite this, pilots retain final authority for safety-critical decisions, which requires continuous trust calibration. This study investigated how algorithmic transparency influences pilots' learned trust in an AI-based cockpit assistant. Twenty-one commercial pilots were randomly assigned to an early transparency condition (detailed explanations of the AI's algorithms and performance provided before the tutorial) or a late transparency condition (the same information delivered after the experiment). Each pilot used the assistant during a tutorial and a realistic simulated flight. Mixed-effects ordinal models showed higher trust ratings for the early compared to the late transparency group during both tutorial and flight, and a larger trust increase between phases. In conclusion, providing pilots with timely, clear information about AI processes modestly improves trust and supports calibrated reliance.
期刊介绍:
Ergonomics, also known as human factors, is the scientific discipline that seeks to understand and improve human interactions with products, equipment, environments and systems. Drawing upon human biology, psychology, engineering and design, Ergonomics aims to develop and apply knowledge and techniques to optimise system performance, whilst protecting the health, safety and well-being of individuals involved. The attention of ergonomics extends across work, leisure and other aspects of our daily lives.
The journal Ergonomics is an international refereed publication, with a 60 year tradition of disseminating high quality research. Original submissions, both theoretical and applied, are invited from across the subject, including physical, cognitive, organisational and environmental ergonomics. Papers reporting the findings of research from cognate disciplines are also welcome, where these contribute to understanding equipment, tasks, jobs, systems and environments and the corresponding needs, abilities and limitations of people.
All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.