Ryan Wohleber
Papers
5
Total Citations
136
H-Index
4
About
Ryan Wohleber is a pioneering researcher at the intersection of personality psychology, human-robot interaction, and autonomous systems. His work fundamentally explores how human individual differences—particularly personality traits—shape and are shaped by our collaboration with robots and AI. Wohleber’s most influential contribution, the 2020 paper “Evolution and revolution: Personality research for the coming world of robots, artificial intelligence, and autonomous systems,” has garnered 114 citations, establishing a foundational framework for integrating personality theory into human-robot teaming. He has also advanced practical communication protocols, developing a squad-level vocabulary for human-robot interaction (2014) and pioneering methods for assessing operator psychological states and performance in unmanned aerial systems (2018). His innovative concept of “polyphonic” human-robot communication—mastering crescendos and diminuendos in transparency—offers a musical metaphor for dynamic, context-aware robot transparency. Wohleber’s work bridges theoretical rigor with applied design, emphasizing that effective human-robot teams require understanding not just technology, but the human psyche. For students and researchers, his research is essential reading for anyone designing robots that must adapt to the rich, variable landscape of human personality and cognition.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Relevance of Theory to Human-Robot Teaming Research and Development8 citations · 2016
- 3Development of a Squad Level Vocabulary for Human-Robot Interaction6 citations · 2014
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- 5