Danielle K. Gleason
Papers
1
Total Citations
23
H-Index
1
About
Danielle K. Gleason’s research lies at the compelling intersection of human-robot interaction, cognitive psychology, and trust dynamics. Her most-cited work, “Preliminary Interactions of Human-Robot Trust, Cognitive Load, and Robot Intelligence Levels in a Competitive Game” (2018), introduces a novel experimental paradigm using a competitive capture-the-flag game to probe how humans calibrate trust in robotic teammates under varying cognitive demands. By systematically manipulating robot intelligence levels, Gleason reveals that trust is not static but dynamically shaped by task complexity and perceived robot capability—a finding with profound implications for designing effective human-robot teams in high-stakes environments like disaster response or manufacturing. With 23 citations, this pilot study has established a foundational framework for subsequent research on trust calibration and cognitive load in human-robot collaboration. Gleason’s work is particularly notable for its methodological creativity, merging game theory with psychometric assessment to capture real-time trust fluctuations. Her contributions are essential reading for students and researchers exploring how humans build—and sometimes break—trust with increasingly autonomous machines.
Research Focus
Key Achievements
Top Papers
- 1