About
Dr. Nathan J. McNeese is the CECAS Dean’s Professor and Assistant Professor of Human-Centered Computing and Director of the Team Research Analytics in Computational Environments (TRACE) Research Group within the division of Human-Centered Computing in the School of Computing at Clemson University. Dr. McNeese is also the Director of the university-wide Clemson University Data (Science) Lab. He also holds a secondary appointment in Clemson’s Human Factors Institute, is a Faculty Scholar in Clemson’s School o Health Research, and a Watt Family Faculty Fellow. Dr. McNeese received a Ph.D. in Information Sciences & Technology from The Pennsylvania State University. For over 15 years, Dr. McNeese has conducted research mainly focused on teamwork, artificial intelligence (AI), and collaborative technology within a variety of different contexts (command & control, manufacturing, emergency crisis management, and healthcare).
His current research interests span across human-AI teaming, human-centered AI, and the development/design of human-centered collaborative tools and systems. He currently serves on multiple international/societal program and technical committees, in addition to multiple editorial boards including Human Factors. He is a current and previous member of multiple National Academies of Science panels broadly focused on human factors and human computer interaction. His research has received multiple best paper awards/nominations and has been published in peer-reviewed venues over 100 times. In addition, he has acquired over $15M in research funding from agencies such as NSF, ONR, AFOSR, andAHRQ.
For more information, see his Profile.
How their research is transforming health care
Nathan McNeese’s research seeks to better understand teamwork in health care domains through studying health care teams in context and then developing human-centered collaborative technologies to support specific teamwork activities. He is particularly interested in studying the concepts of team cognition, artificial intelligence, and collaborative technology design and development.
Health Research Expertise Keywords
Faculty Scholar, Human-autonomy, AI teaming, teamwork, collaborative technology, human computer interaction, human factors, computer supported cooperative work, artificial intelligence
