Tamera R. Schneider

Papers

Total Citations

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About

Tamera R. Schneider is a leading researcher in human-automation interaction, with a primary focus on trust in automated systems. Her work bridges cognitive psychology and human factors engineering, exploring how individuals develop and calibrate trust in technology. Her most-cited paper, "The Measurement of the Propensity to Trust Automation" (2019, 85 citations), provides a foundational framework for quantifying individual differences in automation trust, offering a validated scale that has become a standard tool in the field. This contribution is critical for designing user-centered autonomous systems, from self-driving cars to AI decision-support tools. Schneider’s research highlights the interplay between human cognition, emotion, and system reliability, demonstrating that trust is not merely a binary state but a dynamic, context-dependent construct. Her work has been instrumental in advancing safety and usability in high-stakes environments, such as aviation and healthcare. With over 85 citations on this key paper alone, Schneider’s influence continues to grow, shaping how engineers and psychologists approach the challenge of building trustworthy automation. Her insights are essential for anyone studying the future of human-technology collaboration.