Dan Nathan-Roberts

Papers

Total Citations

H-Index

About

Dan Nathan-Roberts is a leading voice in human factors engineering, with a focused expertise in the intersection of personality, trust, and education within human-robot interaction (HRI). His systematic and critical review on personality measurement in HRI, which has garnered 31 citations, is a foundational work that categorizes research by whether it assesses human or robot personality, establishing the five-factor model as a key framework for the field. Expanding on this, Nathan-Roberts has critically examined how socially interactive robots can serve as language learning assistants for young students, a systematic review with 14 citations that evaluates the social factors enabling robots to be effective educators. His work also addresses the critical issue of trust between elderly users and robots, analyzing models like Transparency and Feedback through a macroergonomic lens to identify strengths and areas for improvement. By bridging personality theory, educational technology, and trust dynamics, Nathan-Roberts’ research provides essential guidelines for designing robots that are not only functional but also socially attuned and trustworthy, making significant contributions to the safe and effective integration of robots into human-centered environments.