Dan Hestand

Papers

Total Citations

H-Index

About

Dan Hestand is a researcher whose work has shaped the early foundations of human-robot interaction (HRI), particularly in the high-stakes domain of urban search and rescue (USAR). His primary research areas include improving operator situation awareness, designing intuitive interfaces for remote robot operation, and mitigating information overload in complex robotic systems. Hestand’s major contributions include developing a fine-grained definition of HRI awareness, adapted from computer-supported cooperative work (CSCW), and translating this into actionable design guidelines for more effective human-robot collaboration. His most cited work, "Design guidelines for improved human-robot interaction" (2004, 40 citations), established a framework that helps operators maintain critical awareness during remote tasks. In subsequent studies, he explored layered sensor modalities to reduce disorientation and missed victim detection, and investigated strategies for enhancing situation awareness in USAR environments. Though his citation counts are modest, Hestand’s research is notable for its practical focus on real-world robotic applications, addressing the cognitive challenges operators face when directing robots in chaotic, dangerous settings. His work remains relevant for students and researchers interested in the intersection of robotics, cognitive ergonomics, and emergency response technology.