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- Title
- DATA ENTRY ERROR IN MOBILE KEYBOARD DEVICE USAGE SUBJECT TO COGNITIVE, ENVIRONMENTAL, AND COMMUNICATION WORKLOAD STRESSORS PRESENT IN FULLY ACTIVATED EMERGENCY OPERATIONS CENTERS.
- Creator
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Durrani, Samiullah, Bush, Pamela, University of Central Florida
- Abstract / Description
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The diversity and dynamic nature of disaster management environments necessitate the use of convenient, yet reliable, tools for technology. While there have been many improvements in mitigating the effects of disasters, it is clearly evident by recent events, such as Hurricane Katrina that issues related to emergency response and management require considerable research and improvement to effectively respond to these situations. One of the links in a disaster management chain is the Emergency...
Show moreThe diversity and dynamic nature of disaster management environments necessitate the use of convenient, yet reliable, tools for technology. While there have been many improvements in mitigating the effects of disasters, it is clearly evident by recent events, such as Hurricane Katrina that issues related to emergency response and management require considerable research and improvement to effectively respond to these situations. One of the links in a disaster management chain is the Emergency Operations Center (EOC). The EOC is a physical command center responsible for the overall strategic control of the disaster response and functions as an information and communication hub. The effectiveness and accuracy of the disaster response greatly depends on the quality and timeliness of inter-personnel communication within an EOC. The advent of handheld mobile communication devices have introduced new avenues of communication that been widely adopted by disaster management officials. The portability afforded by these devices allows users to exchange, manage and access vital information during critical situations. While their use and importance is gaining momentum, little is still known about the ergonomic and human reliability implications of human-handheld interaction, particularly in an Emergency Operations Center setting. The purpose of this effort is to establish basic human error probabilities (bHEP's) for handheld QWERTY data entry and to study the effects of various performance shaping factors, specifically, environmental conditions, communication load, and cognitive load. The factors selected are designed to simulate the conditions prevalent in an Emergency Operations Center. The objectives are accomplished through a three-factor between-subjects randomized full factorial experiment in which a bHEP value of 0.0296 is found. It is also determined that a combination of cognitive loading and environmental conditions has a statistically significant detrimental impact on the HEP.
Show less - Date Issued
- 2009
- Identifier
- CFE0002828, ucf:48059
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0002828
- Title
- DOES SAFETY CULTURE PREDICT CLINICAL OUTCOMES?.
- Creator
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Wilson, Katherine, Salas, Eduardo, University of Central Florida
- Abstract / Description
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Patient safety in healthcare has become a national objective. Healthcare organizations are striving to improve patient safety and have turned to high reliability organizations as those in which to model. One initiative taken on by healthcare is improving patient safety culture--shifting from one of a 'no harm, no foul' to a culture of learning that encourages the reporting of errors, even those in which patient harm does not occur. Lacking from the literature, however, is an...
Show morePatient safety in healthcare has become a national objective. Healthcare organizations are striving to improve patient safety and have turned to high reliability organizations as those in which to model. One initiative taken on by healthcare is improving patient safety culture--shifting from one of a 'no harm, no foul' to a culture of learning that encourages the reporting of errors, even those in which patient harm does not occur. Lacking from the literature, however, is an understanding of how safety culture impacts outcomes. While there has been some research done in this area, and safety culture is argued to have an impact, the findings are not very diagnostic. In other words, safety culture has been studied such that an overall safety culture rating is provided and it is shown that a positive safety culture improves outcomes. However, this method does little to tell an organization what aspects of safety culture impact outcomes. Therefore, this dissertation sought to answer that question but analyzing safety culture from multiple dimensions. The results found as a part of this effort support previous work in other domains suggesting that hospital management and supervisor support does lead to improved perceptions of safety. The link between this support and outcomes, such as incidents and incident reporting, is more difficult to determine. The data suggests that employees are willing to report errors when they occur, but the low occurrence of such reportable events in healthcare precludes them from doing so. When a closer look was taken at the type of incidents that were reported, a positive relationship was found between support for patient safety and medication incidents. These results initially seem counterintuitive. To suggest a positive relationship between safety culture and medication incidents on the surface detracts from the research in other domains suggesting the opposite. It could be the case that an increase in incidents leads an organization to implement additional patient safety efforts, and therefore employees perceive a more positive safety culture. Clearly more research is needed in this area. Suggestions for future research and practical implications of this study are provided.
Show less - Date Issued
- 2007
- Identifier
- CFE0001924, ucf:47472
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001924
- Title
- A STUDY OF FACTORS CONTRIBUTING TO SELF-REPORTED ANOMALIES IN CIVIL AVIATION.
- Creator
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Andrzejczak, Chris, Karwowski, Waldemar, University of Central Florida
- Abstract / Description
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A study investigating what factors are present leading to pilots submitting voluntary anomaly reports regarding their flight performance was conducted. The study employed statistical methods, text mining, clustering, and dimensional reduction techniques in an effort to determine relationships between factors and anomalies. A review of the literature was conducted to determine what factors are contributing to these anomalous incidents, as well as what research exists on human error, its causes...
Show moreA study investigating what factors are present leading to pilots submitting voluntary anomaly reports regarding their flight performance was conducted. The study employed statistical methods, text mining, clustering, and dimensional reduction techniques in an effort to determine relationships between factors and anomalies. A review of the literature was conducted to determine what factors are contributing to these anomalous incidents, as well as what research exists on human error, its causes, and its management. Data from the NASA Aviation Safety Reporting System (ASRS) was analyzed using traditional statistical methods such as frequencies and multinomial logistic regression. Recently formalized approaches in text mining such as Knowledge Based Discovery (KBD) and Literature Based Discovery (LBD) were employed to create associations between factors and anomalies. These methods were also used to generate predictive models. Finally, advances in dimensional reduction techniques identified concepts or keywords within records, thus creating a framework for an unsupervised document classification system. Findings from this study reinforced established views on contributing factors to civil aviation anomalies. New associations between previously unrelated factors and conditions were also found. Dimensionality reduction also demonstrated the possibility of identifying salient factors from unstructured text records, and was able to classify these records using these identified features.
Show less - Date Issued
- 2010
- Identifier
- CFE0003463, ucf:48382
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0003463
- Title
- Applied Error Related Negativity: Single Electrode Electroencephalography in Complex Visual Stimuli.
- Creator
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Sawyer, Benjamin, Karwowski, Waldemar, Hancock, Peter, Xanthopoulos, Petros, University of Central Florida
- Abstract / Description
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Error related negativity (ERN) is a pronounced negative evoked response potential (ERP) that follows a known error. This neural pattern has the potential to communicate user awareness of incorrect actions within milliseconds. While the implications for human-machine interface and augmented cognition are exciting, the ERN has historically been evoked only in the laboratory using complex equipment while presenting simple visual stimuli such as letters and symbols. To effectively harness the...
Show moreError related negativity (ERN) is a pronounced negative evoked response potential (ERP) that follows a known error. This neural pattern has the potential to communicate user awareness of incorrect actions within milliseconds. While the implications for human-machine interface and augmented cognition are exciting, the ERN has historically been evoked only in the laboratory using complex equipment while presenting simple visual stimuli such as letters and symbols. To effectively harness the applied potential of the ERN, detection must be accomplished in complex environments using simple, preferably single-electrode, EEG systems feasible for integration into field and workplace-ready equipment. The present project attempted to use static photographs to evoke and successfully detect the ERN in a complex visual search task: motorcycle conspicuity. Drivers regularly fail to see motorcycles, with tragic results. To reproduce the issue in the lab, static pictures of traffic were presented, either including or not including motorcycles. A standard flanker letter task replicated from a classic ERN study (Gehring et al., 1993) was run alongside, with both studies requiring a binary response. Results showed that the ERN could be clearly detected in both tasks, even when limiting data to a single electrode in the absence of artifact correction. These results support the feasibility of applied ERN detection in complex visual search in static images. Implications and opportunities will be discussed, limitations of the study explained, and future directions explored.
Show less - Date Issued
- 2014
- Identifier
- CFE0005885, ucf:50886
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005885
- Title
- A Systems Approach to Assessing, Interpreting and Applying Human Error Mishap Data to Mitigate Risk of Future Incidents in a Space Exploration Ground Processing Operations Environment.
- Creator
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Alexander, Tiffaney, McCauley, Pamela, Rabelo, Luis, Karwowski, Waldemar, Nunez, Jose, University of Central Florida
- Abstract / Description
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Research results have shown that more than half of aviation, aerospace and aeronautics mishaps/incidents are attributed to human error. Although many existing incident report systems have been beneficial for identifying engineering failures, most of them are not designed around a theoretical framework of human error, thus failing to address core issues and causes of the mishaps. Therefore, it is imperative to develop a human error assessment framework to identify these causes. This research...
Show moreResearch results have shown that more than half of aviation, aerospace and aeronautics mishaps/incidents are attributed to human error. Although many existing incident report systems have been beneficial for identifying engineering failures, most of them are not designed around a theoretical framework of human error, thus failing to address core issues and causes of the mishaps. Therefore, it is imperative to develop a human error assessment framework to identify these causes. This research focused on identifying causes of human error and leading contributors to historical Launch Vehicle Ground Processing Operations mishaps based on past mishaps, near mishaps, and close calls. Three hypotheses were discussed. The first hypothesis addressed the impact Human Factor Analysis and Classification System (HFACS) contributing factors (unsafe acts of operators, preconditions for unsafe acts, unsafe supervision, and/or organizational influences) have on human error events (i.e. mishaps, close calls, incident or accidents) in NASA Ground Processing Operations. The second hypothesis focused on determining if the HFACS framework conceptual model could be proven to be a viable analysis and classification system to help classify both latent and active underlying contributors and causes of human error in ground processing operations. Lastly, the third hypothesis focused on determining if the development of a model using the Human Error Assessment and Reduction Technique (HEART) could be used as a tool to help determine the probability of human error occurrence in ground processing operations. A model to analyze and classify contributing factors to mishaps or incidents, and generate predicted Human Error Probabilities (HEPs) of future occurrence was developed using the HEART and HFACS tools. The research methodology was applied (retrospectively) to six Ground Processing Operations (GPO) Scenarios and 30 years of Launch Vehicle Related Mishap Data. Surveys were used to provide Subject Matter Experts' (SMEs) subjective assessments of the impact Error Producing Conditions (EPC) had on specific tasks. In this research a Logistic Binary Regression model, which identified the four most significant contributing HFACS human error factors was generated. This model provided predicted probabilities of future occurrence of mishaps when these contributing factors are present. The results showed that the HEART and HFACS methods, when modified, can be used as an analysis tool to identify contributing factors, their impact on human error events, and predict the potential probability of future human error occurrence. This methodology and framework was validated through consistency and comparison to other related research. A contribution methodology for other space operations and similar complex operations to follow was provided from this research. Future research should involve broadening the scope to explore and identify other existing models of human error management systems to integrate into complex space systems beyond what was conducted in this research.
Show less - Date Issued
- 2016
- Identifier
- CFE0006829, ucf:51795
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006829
- Title
- Impact of Interruption Frequency on Nurses' Performance, Satisfaction, and Cognition During Patient-Controlled Analgesia Use in the Simulated Setting.
- Creator
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Campoe, Kristi, Talbert, Steven, Sole, Mary Lou, Andrews, Diane, Jentsch, Florian, University of Central Florida
- Abstract / Description
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Problem: Interruption during medication administration is a significant patient safety concern within health care, especially during the administration of high risk medications in nursing. Patient-controlled analgesia (PCA) devices are frequently associated with adverse events and have a four-fold increased risk of patient injury compared to non-PCA related adverse events. While the nature and frequency of interruptions have been established for nurses' medication processes, the impact of...
Show moreProblem: Interruption during medication administration is a significant patient safety concern within health care, especially during the administration of high risk medications in nursing. Patient-controlled analgesia (PCA) devices are frequently associated with adverse events and have a four-fold increased risk of patient injury compared to non-PCA related adverse events. While the nature and frequency of interruptions have been established for nurses' medication processes, the impact of interruption frequency on nurses' PCA interaction has not been fully measured or described.Purpose: The purposes of this study were to quantify the impact of interruption frequency on registered nurses' (RN) performance, satisfaction, and cognitive workload during PCA interaction, and to determine nurses' perceptions of the impact of interruption frequency.Methods: This study employed a mixed-method design. First, an experimental repeated measures design was used to quantify the impact of interruption frequency on a purposive sample of nine medical-surgical RNs. The RNs completed PCA programming tasks in a simulated laboratory nursing environment for each of four conditions where interruption frequency was pre-determined. Four established human factors usability measures were completed for each of the four test conditions. The research questions were answered using repeated measures analysis of variance with (RM-ANOVA), McNamar's test, and Friedman's test. After each experiment, semi-structured interviews were used to collect data that were analyzed using inductive qualitative content analysis to determine RNs' perceptions of the impact of interruption frequency. Results: Results of the RM-ANOVA were significant for the main effect of interruption frequency on efficiency F(3,24)=9.592, p = .000. McNemar's test did not show significance for the impact of interruption frequency on effectiveness (accuracy). Friedman test showed participant satisfaction was significantly impacted by interruption frequency (x2=9.47, df=3, p=0.024). Friedman test showed no significance for the main effect of interruption frequency on cognitive workload scores by condition type (x2=1.88, df=3, p=0.599). Results of the qualitative content analysis revealed two main categories to describe nurses' perception of interruption frequency: the nature of interruptions and nurses' reaction to the interrupted work environment.Discussion/Implications: The results suggested that interruption frequency significantly affected task completion time and satisfaction for participants but not participant accuracy or cognitive workload. A high error rate during PCA programming tasks indicated the need to evaluate the conditions in which RNs complete PCA programming as each error presents potential risk of patient harm. RNs' described the impact of interruption frequency as having a negative impact on the work environment and subsequently implement compensating strategies to counterbalance interruptions. RNs' perceived that patient safety was negatively impacted by frequent interruption. RNs experienced negative intrapersonal consequences as a results of frequent interruption. Additional study is needed to better understand the impact of interruption frequency on RNs' performance accuracy and cognitive workload.
Show less - Date Issued
- 2015
- Identifier
- CFE0005770, ucf:50099
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005770
- Title
- A Simulation-Based Task Analysis using Agent-Based, Discrete Event and System Dynamics simulation.
- Creator
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Angelopoulou, Anastasia, Karwowski, Waldemar, Kincaid, John, Xanthopoulos, Petros, Hancock, Peter, University of Central Florida
- Abstract / Description
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Recent advances in technology have increased the need for using simulation models to analyze tasks and obtain human performance data. A variety of task analysis approaches and tools have been proposed and developed over the years. Over 100 task analysis methods have been reported in the literature. However, most of the developed methods and tools allow for representation of the static aspects of the tasks performed by expert system-driven human operators, neglecting aspects of the work...
Show moreRecent advances in technology have increased the need for using simulation models to analyze tasks and obtain human performance data. A variety of task analysis approaches and tools have been proposed and developed over the years. Over 100 task analysis methods have been reported in the literature. However, most of the developed methods and tools allow for representation of the static aspects of the tasks performed by expert system-driven human operators, neglecting aspects of the work environment, i.e. physical layout, and dynamic aspects of the task. The use of simulation can help face the new challenges in the field of task analysis as it allows for simulation of the dynamic aspects of the tasks, the humans performing them, and their locations in the environment. Modeling and/or simulation task analysis tools and techniques have been proven to be effective in task analysis, workload, and human reliability assessment. However, most of the existing task analysis simulation models and tools lack features that allow for consideration of errors, workload, level of operator's expertise and skills, among others. In addition, the current task analysis simulation tools require basic training on the tool to allow for modeling the flow of task analysis process and/or error and workload assessment. The modeling process is usually achieved using drag and drop functionality and, in some cases, programming skills.This research focuses on automating the modeling process and simulating individuals (or groups of individuals) performing tasks in a dynamic work environment in any domain. The main objective of this research is to develop a universal tool that allows for modeling and simulation of task analysis models in a short amount of time with limited need for training or knowledge of modeling and simulation theory. A Universal Task Analysis Simulation Modeling (UTASiMo) tool can be used for automatically generating simulation models that analyze the tasks performed by human operators. UTASiMo is a multi-method modeling and simulation tool developed as a combination of agent-based, discrete event, and system dynamics simulation models. A generic multi-method modeling and simulation framework, named 3M(&)S Framework, as well as the Unified Modeling Language have been used for the design of the conceptual model and the implementation of the simulation tool. UTASiMo-generated models are dynamically created during run-time based on user inputs. The simulation results include estimations of operator workload, task completion time, and probability of human errors based on human operator variability and task structure.
Show less - Date Issued
- 2015
- Identifier
- CFE0006252, ucf:51040
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006252
