Shaun Moon - Academia.edu (original) (raw)
Papers by Shaun Moon
CIN: Computers, Informatics, Nursing, 2011
Blood gas analysis & Critical care & Data display & Nursing & Task performance and analysis Repri... more Blood gas analysis & Critical care & Data display & Nursing & Task performance and analysis Reprinted from Doig AK, Albert RW, Syroid ND, Moon S, Agutter JA. Graphical arterial blood gas visualization tool supports rapid and accurate data interpretation.
IEEE Computer Graphics and Applications, 2000
IEEE Computer Graphics and Applications, 2000
Proceedings from the Sixth Annual IEEE Systems, Man and Cybernetics (SMC) Information Assurance Workshop, 2005., 2005
We present a novel paradigm for visual correlation of network alerts from disparate logs. This pa... more We present a novel paradigm for visual correlation of network alerts from disparate logs. This paradigm facilitates and promotes situational awareness in complex network environments. Our approach is based on the notion that, by definition, an alert must possess three attributes, namely: What, When, and Where. This fundamental premise, which we term w 3 , provides a vehicle for comparing between seemingly disparate events. We propose a concise and scalable representation of these three attributes that leads to a flexible visualization tool that is also clear and intuitive to use.
IEEE Symposium on Information Visualization, 2005. INFOVIS 2005., 2005
IEEE Computer Graphics and Applications, 2000
S ociety's dependence on information systems has made cybersecurity an increasingly important iss... more S ociety's dependence on information systems has made cybersecurity an increasingly important issue. Computer networks transport financial transactions, sensitive government information, power plant operations, and personal health information. The spread of malicious network activities poses great risks to the operational integrity of many organizations and imposes heavy economic burdens on life and health.
CIN: Computers, Informatics, Nursing, 2011
A visualization tool that integrates numeric information from an arterial blood gas report with n... more A visualization tool that integrates numeric information from an arterial blood gas report with novel graphics was designed for the purpose of promoting rapid and accurate interpretation of acid-base data. A study compared data interpretation performance when arterial blood gas results were presented in a traditional numerical list versus the graphical visualization tool. Critical-care nurses (n = 15) and nursing students (n = 15) were significantly more accurate identifying acid-base states and assessing trends in acid-base data when using the graphical visualization tool. Critical-care nurses and nursing students using traditional numerical data had an average accuracy of 69% and 74%, respectively. Using the visualization tool, average accuracy improved to 83% for critical-care nurses and 93% for nursing students. Analysis of response times demonstrated that the visualization tool might help nurses overcome the "speed/accuracy trade-off" during high-stress situations when rapid decisions must be rendered. Perceived mental workload was significantly reduced for nursing students when they used the graphical visualization tool. In this study, the effects of implementing the graphical visualization were greater for nursing students than for critical-care nurses, which may indicate that the experienced nurses needed more training and use of the new technology prior to testing to show similar gains. Results of the objective and subjective evaluations support the integration of this graphical visualization tool into clinical environments that require accurate and timely interpretation of arterial blood gas data.
CIN: Computers, Informatics, Nursing, 2011
Blood gas analysis & Critical care & Data display & Nursing & Task performance and analysis Repri... more Blood gas analysis & Critical care & Data display & Nursing & Task performance and analysis Reprinted from Doig AK, Albert RW, Syroid ND, Moon S, Agutter JA. Graphical arterial blood gas visualization tool supports rapid and accurate data interpretation.
IEEE Computer Graphics and Applications, 2000
IEEE Computer Graphics and Applications, 2000
Proceedings from the Sixth Annual IEEE Systems, Man and Cybernetics (SMC) Information Assurance Workshop, 2005., 2005
We present a novel paradigm for visual correlation of network alerts from disparate logs. This pa... more We present a novel paradigm for visual correlation of network alerts from disparate logs. This paradigm facilitates and promotes situational awareness in complex network environments. Our approach is based on the notion that, by definition, an alert must possess three attributes, namely: What, When, and Where. This fundamental premise, which we term w 3 , provides a vehicle for comparing between seemingly disparate events. We propose a concise and scalable representation of these three attributes that leads to a flexible visualization tool that is also clear and intuitive to use.
IEEE Symposium on Information Visualization, 2005. INFOVIS 2005., 2005
IEEE Computer Graphics and Applications, 2000
S ociety's dependence on information systems has made cybersecurity an increasingly important iss... more S ociety's dependence on information systems has made cybersecurity an increasingly important issue. Computer networks transport financial transactions, sensitive government information, power plant operations, and personal health information. The spread of malicious network activities poses great risks to the operational integrity of many organizations and imposes heavy economic burdens on life and health.
CIN: Computers, Informatics, Nursing, 2011
A visualization tool that integrates numeric information from an arterial blood gas report with n... more A visualization tool that integrates numeric information from an arterial blood gas report with novel graphics was designed for the purpose of promoting rapid and accurate interpretation of acid-base data. A study compared data interpretation performance when arterial blood gas results were presented in a traditional numerical list versus the graphical visualization tool. Critical-care nurses (n = 15) and nursing students (n = 15) were significantly more accurate identifying acid-base states and assessing trends in acid-base data when using the graphical visualization tool. Critical-care nurses and nursing students using traditional numerical data had an average accuracy of 69% and 74%, respectively. Using the visualization tool, average accuracy improved to 83% for critical-care nurses and 93% for nursing students. Analysis of response times demonstrated that the visualization tool might help nurses overcome the "speed/accuracy trade-off" during high-stress situations when rapid decisions must be rendered. Perceived mental workload was significantly reduced for nursing students when they used the graphical visualization tool. In this study, the effects of implementing the graphical visualization were greater for nursing students than for critical-care nurses, which may indicate that the experienced nurses needed more training and use of the new technology prior to testing to show similar gains. Results of the objective and subjective evaluations support the integration of this graphical visualization tool into clinical environments that require accurate and timely interpretation of arterial blood gas data.