David Dodge

University of Central Florida

Papers

1

Total Citations

4

H-Index

1

About

David Dodge is a researcher whose work lies at the intersection of human-robot interaction and trust dynamics. His most-cited paper, "Specifying Influences that Mediate Trust in Human-Robot Interaction" (2016, 4 citations), represents a foundational contribution to understanding how robot appearance and reliability shape user trust. Through a carefully designed experiment involving three distinct robot forms and varying reliability conditions, Dodge systematically demonstrated that both physical design and behavioral consistency are critical mediators of human trust in autonomous systems. This work provides essential empirical evidence for engineers and designers seeking to create robots that earn and maintain user confidence. While his citation count is modest, the conceptual framework he established has informed subsequent studies on trust calibration in human-robot teams. Dodge's research is particularly valuable for students and practitioners in robotics and human factors engineering, as it bridges the gap between abstract trust theories and concrete design principles. His findings underscore that trust is not merely a function of performance but is deeply influenced by the robot's physical embodiment and perceived predictability.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Specifying Influences that Mediate Trust in Human-Robot Interaction
4 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Central Florida

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago