Grant S. Taylor
Papers
2
Total Citations
68
H-Index
2
About
Grant S. Taylor is a leading researcher in human-automation interaction, with a primary focus on human supervisory control of robotic teams. His seminal 2015 work, which has garnered 63 citations, integrates cognitive modeling with engineering design to address the challenges of overseeing autonomous agents. Taylor’s research provides critical frameworks for designing systems where human operators manage sensor data and provide feedback to robotic teams, advancing the field of supervisory control. Additionally, his 2012 study on adaptive automation within multi-tasking environments explores how different types of automation affect operator performance, stress, and workload, moving beyond traditional focuses on automation levels and invocation methods. By examining the utilization of adaptive strategies, Taylor has contributed to more nuanced understandings of how automation can be tailored to support human operators in complex tasks. His work is highly influential in engineering psychology and human factors, offering practical insights for developing safer, more efficient human-robot systems. Taylor’s research continues to shape how we design and implement automation in critical domains such as military operations, disaster response, and industrial control.
Research Focus
Key Achievements
Top Papers
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