Center for Human, AI, and Robot Teaming Seminar
Join us for a presentation by Mark Draper, PhD, principal engineering research psychologist, AFRL.
Draper will focus on describing the Adaptive Interfaces Core Technical Competency (CTC) that resides within the Air Force Research Laboratory’s 711 Human Performance Wing. The Adaptive Interfaces CTC discovers, demonstrates, and transitions the full spectrum of interface science and technology, communication enhancements, and decision analytics that dynamically integrate Airmen and increasingly intelligent machines into maximally effective teams. This CTC consists of three Core Research Areas (CRAs): Multisensory Perception and Communication, System Analytics, and Collaborative Interfaces & Teaming. Some example research areas within each CRA will be discussed along with emerging capabilities. Lastly, Mark will provide a more in-depth example of recent collaborative research via the IMPACT Multi-UxS Control project.
Draper is a principal engineering research psychologist for the Air Force Research Laboratory's 711th Human Performance Wing. He also serves as AFRL’s Core Technical Competency Lead for Adaptive Warfighter Interface research. Draper’s activities include chairing a six-nation NATO research team focused on human-autonomy interaction, leading a 5-Nation Autonomy Strategic Challenge program, and serving as an associate editor of the Human Factors Journal. His research interests include operator interfaces for unmanned aerial systems, human-automation interaction, multi-modal interfaces, and advanced interface technology design and evaluation. In 2011, Draper was selected as an AFRL Fellow and in 2012 he received the Harold Brown Award, the highest award given by the US Air Force to a scientist or engineer. Mark received his MSE and PhD in engineering from the University of Washington in 1998 where he studied virtual environment design effects on vestibular adaptation.
Zoom Info for Remote Participants: Join from PC, Mac, Linux, iOS or Android: https://asu.zoom.us/j/434822782