|
Home
Curriculum Vitae / Resume
Email MatthewMatthew Bolton is a Ph.D. candidate at the University of Virginia in the department of Systems and Information Engineering. He has conducted research in a variety of fields including spatial awareness measurement, human cognitive modeling, quantitative models of human performance, and human centered systems engineering. His research has been applied to problems in a variety of domains including cockpit display technology, air traffic control, automated medical devices, and engineering education materials.
For his master’s thesis, Matthew Bolton conducted human subject experiments (with general aviation pilots) using new judgment based spatial awareness measures for the purpose of evaluating display parameters of Synthetic Vision Systems (SVS) – a cockpit display concept that visualizes terrain in front of aircraft to prevent controlled flight into terrain. This work helped evaluate SVS design features, exposed spatial awareness biases that manifest themselves in SVS, and compared the effectiveness of subjective and judgment based spatial awareness measures.
For his Ph.D., Matthew Bolton is investigating ways of using task analytic models, formal system modeling, formal verification via model checking, and taxonomies of erroneous human behavior to automatically incorporate erroneous human behavior patterns into normative task models to allow analysts to formally verify system safety properties with both normative and erroneous human behavior. He is also developing novel visulization techniques to help analysts interpret discovered problems. He is apply his techniques to the analysis of vareity of human-automation interactive systems including a radiation therapy machine, a pain medication pump, and a automobile cruise control.
