Thomas Fincannon
Papers
11
Total Citations
126
H-Index
7
About
Thomas Fincannon is a leading researcher in human-robot interaction (HRI), with a focus on urban search and rescue (USAR) and unmanned vehicle (UV) operations. His work bridges cognitive science and robotics, exploring how human abilities like spatial reasoning and social intelligence impact the effective control of autonomous systems. Fincannon’s most influential paper, “Evidence of the need for social intelligence in rescue robots” (48 citations), demonstrated that operators in confined-space USAR tasks require robots to possess social awareness, not just technical capability. He also pioneered systems-level performance metrics for HRI, as seen in his 2004 work (26 citations), which proposed frameworks to evaluate human-robot task performance in high-risk, time-critical domains. Beyond these contributions, Fincannon has examined how autonomy levels and cognitive abilities affect operator workload and situation awareness, offering guidelines for safer, more efficient human-robot teaming. His research has been instrumental in shaping best practices for supervisory control of unmanned systems, emphasizing the need to design robots that complement human cognition. With a career spanning foundational studies on team heuristics and virtual simulation validity, Fincannon remains a key voice in advancing human-centered robotics for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Evidence of the need for social intelligence in rescue robots48 citations · 2005
- 2
- 3Beyond "spatial ability"10 citations · 2012
- 4
- 5Comparing Physical and Virtual Simulation Use in UGV Research9 citations · 2013
- 6
- 7Applying team heuristics to future human-robot systems7 citations · 2012
- 8
- 9Best Practices in Human Operation of Robotic/Unmanned Vehicles2 citations · 2013
- 10