Alexandra D. Kaplan
Papers
8
Total Citations
812
H-Index
7
About
Dr. Alexandra D. Kaplan is a leading researcher in human-robot interaction (HRI) and the psychology of trust in artificial intelligence. Her work systematically unpacks what makes humans trust—or distrust—autonomous systems, combining rigorous meta-analytic methods with experimental studies. Her 2021 meta-analysis on trust in AI, cited over 330 times, identified key predictors across the human trustor, the AI trustee, and their shared context, providing a foundational framework for the field. She extended this with a 2020 meta-analysis on trust in robots (208 citations) and an elaborated model of human trust in 2023 (100 citations), which together have shaped how researchers and engineers design trustworthy autonomous systems. Dr. Kaplan’s experimental work, including a 2019 study on trust and use choice in HRI (94 citations), challenges the assumption that trust automatically leads to system use, revealing nuanced behavioral dynamics. She has also explored personality’s role in human-robot relationships, such as how extroversion influences anthropomorphism. Her contributions are essential reading for anyone studying or building human-centered AI and robotics.
Research Focus
Key Achievements
Top Papers
- 1Trust in Artificial Intelligence: Meta-Analytic Findings330 citations · 2021
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- 3How and why humans trust: A meta-analysis and elaborated model100 citations · 2023
- 4The Relationship Between Trust and Use Choice in Human-Robot Interaction94 citations · 2019
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- 7A time to trust: Trust as a function of time in human-robot interaction9 citations · 2020
- 8Trust and Human Factors2 citations · 2021