AgeLab Researchers Honored for Outstanding Papers

AgeLab Researchers Honored for Outstanding Papers

AgeLab Research Scientists Bobbie Seppelt and Ben D. Sawyer have both received awards for recent publications on human factors research.

For their paper "Hacking the Human: Prevalence Paradox in Cybersecurity," Ben D. Sawyer and Peter Hancock (University of Central Florida) have been awarded the 2017 Human Factors Prize, which recognizes excellence in human factors and ergonomics research. The prize carries a $10,000 cash award, publication of the winning paper in the Human Factors and Ergonomics Society's flagship journal, and a special session at the HFES International Annual Meeting  in which the award is conferred and the recipient presents his or her work.

Additionally, Ben was recently awarded a 2018 Air Force Office of Scientific Research Young Investigator Research Program grant to pursue research on the mathematical underpinnings of attention and trust, with the goal of informing interventions in interface to protect users online across age and generation. He will be leading a panel next week at the American Trucking Association (ATA) Conference in Orlando, FL entitled "Commercial Trucking: ADAS to AV."

Bobbie Seppelt received the Automotive UI 2017 Honorable Mention Paper Award for her paper written with AgeLab colleagues Bruce Mehler and Bryan Reimer and Touchstone Evaluations researchers Sean Seaman and Linda Angell, Differentiating Cognitive Load Using a Modified Version of AttenD, which was presented at the AutomotiveUI 2017 conference in Oldenberg, Germany.

Next week Bobbie will be leading a talk titled Keeping the Driver Informed: How HMIS Affect Acceptance and Trust of Vehicle Automation, as part of the Autonomous Vehicle Interior Design & Technology Symposium in the Detroit, MI area.

Bobbie Seppelt, PhD, researches driver behavior and interaction with in-vehicle systems, with a focus on human-centered automation design.

Ben D. Sawyer, PhD, MSIE, studies successes and failures of attention in human-machine systems, investigates the foundations of human error in cognition, and writes about how design can tip the balance.