Papers
11
Total Citations
247
H-Index
7
About
August Capiola is a leading researcher in the psychology of human-automation interaction, with a focus on trust dynamics in human-robot and human-swarm collaborations. His work systematically investigates how trust is built, violated, and repaired across different types of teammates—human versus machine—revealing critical insights for the design of trustworthy autonomous systems. Capiola’s most influential contribution is the development of a validated scale for measuring the propensity to trust automation (85 citations), a foundational tool for the field. He has also demonstrated that trust violations affect humans and robots differently, with his 2021 study on differential effects of violations in human-human versus human-robot interactions (53 citations) being particularly impactful. His research extends to human-swarm interaction, where he examines how asset degradation influences operator trust and reliance behaviors. With a growing body of work that bridges social psychology, human factors, and robotics, Capiola’s findings are essential for engineers and policymakers aiming to create more reliable and accepted autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1The Measurement of the Propensity to Trust Automation85 citations · 2019
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- 3Differential biases in human-human versus human-robot interactions39 citations · 2022
- 4The role of human personality on trust in human-robot interaction16 citations · 2020
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- 10The Effects of Asset Degradation on Human Trust in Swarms4 citations · 2020