Addison B. Bright
Papers
1
Total Citations
6
H-Index
1
About
Addison B. Bright is a rising scholar in human-autonomy interaction, with a focused expertise on trust dynamics between humans and intelligent systems. Her research bridges behavioral observation and self-report methodologies to understand how trust develops and influences the use of autonomous technologies. In her most cited work, "Convergence Across Behavioral and Self-report Measures Evaluating Individuals' Trust in an Autonomous Golf Cart" (2022, 6 citations), Bright demonstrates a novel, multi-modal approach to measuring trust in real-world settings—a critical step as automation permeates military, healthcare, and domestic environments. This study is notable for its methodological rigor, showing that behavioral and self-report measures can converge to reliably predict user reliance on autonomous systems. While her citation count is still growing, Bright’s work lays essential groundwork for designing trustworthy automation. Her contributions are particularly timely, offering empirical insights that help engineers and policymakers build systems people can safely depend on. Bright is establishing herself as a key voice in understanding the human side of our autonomous future.
Research Focus
Key Achievements
Top Papers
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