J. Malcolm McCurry
United States Naval Research Laboratory, Exelis (United States)
Papers
10
Total Citations
178
H-Index
6
About
J. Malcolm McCurry is a human-robot interaction researcher whose work spans supervisory control, situation awareness, and the psychological dimensions of human-robot relationships. His early contributions focused on the challenge of single-operator, multiple-robot systems, developing eye-movement-based theoretical models to understand how operators maintain situation awareness across robotic teams — work that collectively garnered nearly 100 citations. His 2014 model of Dynamic Operator Overload extended this line of inquiry by offering predictive tools for operator workload, building on foundational concepts like fan-out to better characterize human supervisory capacity. More recently, McCurry has turned toward the social and perceptual dimensions of human-robot interaction. His work on the perception of agency — including the development and psychometric validation of reduced measurement scales — addresses a significant gap in the field by establishing consistent methods for assessing how humans attribute agency to robots and AI. Complementing this, his research on fairness in human-robot teams, perceived danger, and the relationship between perceived agency and trust reveals a sustained commitment to understanding the psychological dynamics that shape effective collaboration. With citations spanning foundational systems engineering and emerging social robotics, McCurry's career reflects a thoughtful evolution from operational performance to the nuanced human factors that define trustworthy human-robot partnerships.
Research Focus
Key Achievements
Top Papers
- 1
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- 4The Perception of Agency23 citations · 2024
- 5Single operator, multiple robots23 citations · 2010
- 6Unfair! Perceptions of Fairness in Human-Robot Teams11 citations · 2021
- 7The Perception of Agency: Scale Reduction and Construct Validity*6 citations · 2023
- 8Proxemic Reasoning for Group Approach5 citations · 2020
- 9The Perceived Danger (PD) Scale: Development and Validation4 citations · 2025
- 10The Relationship Between Perceived Agency and Trust in Robots1 citations · 2025