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This research focuses on improving the accuracy and understanding of human decision-making in computer security through visual methods. The initial phase examines IP packet firewall configuration files to optimize security settings. Findings and insights are shared in recent lectures and proposals, aimed at enhancing training for emergency medical technicians alongside technical education in computer science and physics. The work contributes significantly to the fields of human-computer interaction and visualization.
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Contrast Illusion: Both rows of grey bars are identical Shaun P. Morrissey Research Associate Sc.D. Candidate Institute for Visualization and Perception Research Computer Science Dept. University of Massachusetts/Lowell smorriss (at) cs.uml.edu Links My research interest is the development and application of visual approaches to enhancing the correctness and the comprehension of human decisions in computer security. Our initial work, as laid out in my proposal, is to examine the configuration files for IP packet firewalls. Slides for a recent lecture given To a colleagues HCI class: An Introduction to Visualization Obligatory Cynical Reference To Grad Student Status Proposal Directory National Registry of Emergency Medical Technicians Education B.S. Physics, Rensselaer Polytechnic Inst. M.S. Physics, Carnegie-Mellon Univ. M.S. Computer Science, UMass/Lowell EMT-Basic in MA, NH, and NREMT