Assistant Professor, Human-Centered Computing @ Clemson University
Founding Director: TRACE Research Group; TRACE Programming Bootcamp; Clemson University Data (Science) Lab Member: HFI @ Clemson University; CUSHR; Watt Faculty Fellow Mailing Address 218 McAdams Hall Clemson, SC 29634 mcneese@clemson.edu @nathanmcneese *I am actively recruiting PhD students right now. If you are interested in human-AI teaming or human-centered AI, please send me a message! (8/2020) |
Greetings! I am an Assistant Professor 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. I also am the Director of the Clemson University Data (Science) Laboratory, a University supported initiative to grow and promote data science research across Clemson. In addition, I also hold an affiliation in Clemson’s Human Factors Institute, and I am a Faculty Scholar in Clemson’s School of Health Research, and a two- time Watt Family Faculty Fellow. I received my PhD in Information Sciences & Technology with a focus on Team Decision Making, Cognition, and Computer Supported Cooperative Work from The Pennsylvania State University in the fall of 2014 with Madhu Reddy (now at Northwestern) as my advisor. After graduation, I accepted a position to be a Postdoctoral Scholar and Research Associate in Human Systems Engineering at Arizona State University working directly with Nancy Cooke.
My research interests are wide ranging and interdisciplinary, but can be generally linked to the integration of teamwork and technology in: Human Factors, Human Computer Interaction, Human-Centered Artificial Intelligence, Computer Supported Cooperative Work, and Information Sciences. For over 10 years, I have conducted research mainly focused on teamwork and collaborative technology within a variety of different contexts. My current research interests span across: -Human-AI Teaming -Human-Centered AI -Human-Centered Collaborative Tools and Systems A great deal of my work focuses on how to: 1) better understand human-AI teaming interactions, 2) develop more effective human-AI teams, and 3) develop AI agents that are able to conceptualize, develop, and partake in teamwork behaviors. Specific contexts that I have conducted my research in: healthcare systems, homeland security, command and control, advanced manufacturing, and emergency crisis management. I currently serve on multiple international/societal program and technical committees, in addition to multiple editorial boards including Human Factors. I also actively participate in panels for the National Academy of Sciences, Engineering, and Medicine, the National Science Foundation, and additional government departments. I am also a member of the technical advisory board for the Army Research Lab. Research Interests & Expertise: human-AI teaming, human factors, team decision-making, human-computer interaction, artificial intelligence, computer-supported cooperative work, team cognition, multi-agent systems, cognitive science, usability research and design, collaborative system design, human-centered design, team mental models, mental models, collaboration, collaborative information seeking, cognitive task analysis, knowledge elicitation, healthcare systems, big data, simulations Research Methods: multiple computational methods relating to machine learning, A/B testing, card sorting, cognitive walkthrough, concept mapping, contextual inquiry, ethnography, experimental design, focus groups, heuristic evaluation, interviewing, personas, prototyping, scenarios, surveying, task analysis, usability testing, wireframing |
