Experiment reveals stable trust and self-confidence levels in human-automation collaboration, indicating feedback effects on perceptions.
This study examines how performance feedback influences trust and self-confidence during interactions with dynamically reliable automation. Trust and self-confidence are crucial components of human-automation collaboration, governing reliance decisions and decision-making processes. In this experiment, 80 participants engaged with an automated assistant whose reliability fluctuated across tasks, receiving performance feedback throughout. Contrary to expectations, trust and self-confidence remained stable, showing little sensitivity to changes in reliability or feedback. This suggests that performance feedback may moderate variability in trust, stabilizing perceptions of automation over time. However, this stabilization could lead to complacency and overconfidence. To develop systems that promote calibrated trust and optimize team performance, future research should investigate individual differences in trust calibration, situational awareness, and prior experience with automation. Understanding the complex interplay between feedback, trust, and self-confidence is essential for effective human-automation collaboration in dynamic environments.
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Holland et al. (2025) studied this question.
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