Current Search: Automation (x)
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(1 - 20 of 42)
Pages
- Title
- The promise of automation and how to realize it.
- Creator
-
Lumer, Hyman
- Date Issued
- 1956
- Identifier
- 677392, CFDT677392, ucf:5597
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/FCLA/DT/677392
- Title
- Calling all jobs: An introduction to the automatic machine age.
- Creator
-
National Association of Manufacturers (U.S.)
- Date Issued
- 1955
- Identifier
- 2660247, CFDT2660247, ucf:4971
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/FCLA/DT/2660247
- Title
- Automation: A report to the UAW-CIO Economic and Collective Bargaining Conference held in Detroit, Michigan the 12th and 13th of November 1954.
- Creator
-
International Union, United Automobile, Aircraft, and Agricultural Implement Workers of America Education Dept
- Date Issued
- 1955
- Identifier
- 361653, CFDT361653, ucf:5271
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/FCLA/DT/361653
- Title
- The Impact of Automation Reliability and Fatigue on Reliance.
- Creator
-
Wohleber, Ryan, Matthews, Gerald, Reinerman, Lauren, Szalma, James, Funke, Gregory, Jentsch, Florian, University of Central Florida
- Abstract / Description
-
The objective of this research is to inform th(&)#172;(&)#172;e design of dynamic interfaces to optimize unmanned aerial vehicle (UAV) operator reliance on automation. A broad goal of the U.S. military is to improve the ratio of UAV operators to UAVs controlled. Accomplishing this goal requires the use of automation; however, the benefits of automation are jeopardized without appropriate operator reliance. To improve reliance on automation, this effort sought to accomplish several objectives...
Show moreThe objective of this research is to inform th(&)#172;(&)#172;e design of dynamic interfaces to optimize unmanned aerial vehicle (UAV) operator reliance on automation. A broad goal of the U.S. military is to improve the ratio of UAV operators to UAVs controlled. Accomplishing this goal requires the use of automation; however, the benefits of automation are jeopardized without appropriate operator reliance. To improve reliance on automation, this effort sought to accomplish several objectives organized into phases. The first phase aimed to validate metrics that could be used to gauge operator fatigue online, to understand how the reliability of automated systems influences subjective and objective responses, and to understand how the impact of automation reliability changes with different levels of fatigue. To that end, this study employed a multiple UAV simulation containing several tasks. Findings for a challenging Image Analysis task indicated a decrease in accuracy and reliance with time. Both accuracy and reliance were lower with an unreliable automated decision making aid (60% reliability) than with a reliable automated decision making aid (86.7% reliability). Further, a significant interaction indicated that reliance diminished more quickly when the automated aid was less reliable. Concerning the identification of possible eye tracking measures for fatigue, metrics for percentage of eye closure (PERCLOS), blinks, fixations, and dwell time registered changes with time on task. Fixation metrics registered reliability differences. The second phase sought to use outcomes from the first phase to build two algorithms, based on eye tracking, to drive continuous diagnostic monitoring, one simple and another complex. These algorithms were intended to diagnose the passive fatigue state of UAV operators and used subjective task engagement as the dependent variable. The simple algorithm used PERCLOS and total dwell time within the automated tasking area. The complex algorithm added percent of cognitive fixations and frequency of express fixations. The complex algorithm successfully predicted task engagement, primarily on the strength of percentage of cognitive fixations and express fixation frequency metrics.
Show less - Date Issued
- 2016
- Identifier
- CFE0006548, ucf:51323
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006548
- Title
- Cybernation: The silent conquest.
- Creator
-
Michael, Donald N.
- Date Issued
- 1962
- Identifier
- 2683737, CFDT2683737, ucf:5123
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/FCLA/DT/2683737
- Title
- Comparing Types of Adaptive Automation within a Multi-Tasking Environment.
- Creator
-
Taylor, Grant, Szalma, James, Hancock, Peter, Mouloua, Mustapha, Reinerman, Lauren, University of Central Florida
- Abstract / Description
-
Throughout the many years of research examining the various effects of automation on operator performance, stress, workload, etc., the focus has traditionally been on the level of automation, and the invocation methods used to alter it. The goal of the current study is to instead examine the utilization of various types of automation with the goal of better meeting the operator's cognitive needs, thus improving their performance, workload, and stress. The task, control of a simulated unmanned...
Show moreThroughout the many years of research examining the various effects of automation on operator performance, stress, workload, etc., the focus has traditionally been on the level of automation, and the invocation methods used to alter it. The goal of the current study is to instead examine the utilization of various types of automation with the goal of better meeting the operator's cognitive needs, thus improving their performance, workload, and stress. The task, control of a simulated unmanned robotic system, is designed to specifically stress the operator's visual perception capabilities to a greater degree. Two types of automation are implemented to support the operator's performance of the task: an auditory beep aid intended to support visual perception resources, and a driving aid automating control of the vehicle's navigation, offloading physical action execution resources. Therefore, a comparison can be made between types of automation intended to specifically support the mental dimension that is under the greatest demand (the auditory beep) against those that do not (the driving automation). An additional evaluation is made to determine the benefit of adaptively adjusting the level of each type of automation based on the current level of task demand, as well as the influence of individual differences in personality.Results indicate that the use of the auditory beep aid does improve performance, but also increases Temporal Demand and Effort. Use of driving automation appears to disengage the operator from the task, eliciting a vigilance response. Adaptively altering the level of automation to meet task demands has a mixed effect on performance and workload (reducing both) when the auditory beep automation is used. However, adaptive driving automation is clearly detrimental, causing an increase in workload while decreasing performance. Higher levels of Neuroticism are related to poorer threat detection performance, but personality differences show no indication of moderating the effects of either of the experimental manipulations. The results of this study show that the type of automation implemented within an environment has a considerable impact on the operator, in terms of performance as well as cognitive/emotional state.
Show less - Date Issued
- 2012
- Identifier
- CFE0004340, ucf:49414
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0004340
- Title
- What workers should know about automation ... and what employers don't tell them.
- Creator
-
Hass, Eric, Emery, Stephen
- Date Issued
- 1956
- Identifier
- 1927063, CFDT1927063, ucf:4816
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/FCLA/DT/1927063
- Title
- DESIGN AND IMPLEMENTATION OF WIRELES SENSOR NETWORKS FOR PARKING MANAGEMENT SYSTEM.
- Creator
-
Kora, Sudhir, Phillips, Ronald, University of Central Florida
- Abstract / Description
-
The technology of wirelessly networked micro sensors promises to revolutionize the way we interact with the physical environment. A new approach to solve parking-related issues of vehicles in parking lots using wireless sensor networks is presented. This approach enables the implementation of the Parking Management System (PMS®) in public parking lots found in Airports, Commercial Buildings, Universities, etc. The design architecture of the sensor nodes is discussed here. An overall view...
Show moreThe technology of wirelessly networked micro sensors promises to revolutionize the way we interact with the physical environment. A new approach to solve parking-related issues of vehicles in parking lots using wireless sensor networks is presented. This approach enables the implementation of the Parking Management System (PMS®) in public parking lots found in Airports, Commercial Buildings, Universities, etc. The design architecture of the sensor nodes is discussed here. An overall view of the sensor network, which covers the whole of the parking lot, is also summarized. Detailed description of the software architecture that supports the hardware is provided. A sample experiment for detecting the movement of vehicles by placing the sensor nodes allowing vehicles to pass over it is performed. The readings are sent to a local database server, which gives an indication of the actual number of vehicles parked in the building at any time. This application-oriented project also identifies important areas of further work in power management, communication, collaborative signal processing and parking management.
Show less - Date Issued
- 2005
- Identifier
- CFE0000669, ucf:46522
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000669
- Title
- The age of automation, its effects on human welfare.
- Creator
-
Bloomberg, Warner
- Date Issued
- 1955
- Identifier
- 2683650, CFDT2683650, ucf:5099
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/FCLA/DT/2683650
- Title
- AN INVESTIGATION INTO PROVIDING FEEDBACK TO USERS OF DECISION SUPPORT SYSTEMS FOR FAULT MANAGEMENT.
- Creator
-
Pharmer, James, Bowers, Clint, University of Central Florida
- Abstract / Description
-
Research in several domains has shown that the implementation of computerized decision support aids is often associated with issues of human-automation interaction, which can have disastrous consequences. One often-cited reason for these issues is the poor quality of the feedback that is provided to the operators through these tools. The objective of the proposed investigation is to examine how providing feedback through a decision support tool affects operator knowledge and performance in...
Show moreResearch in several domains has shown that the implementation of computerized decision support aids is often associated with issues of human-automation interaction, which can have disastrous consequences. One often-cited reason for these issues is the poor quality of the feedback that is provided to the operators through these tools. The objective of the proposed investigation is to examine how providing feedback through a decision support tool affects operator knowledge and performance in the context of a fault management task for naval gunfire support. A one-way between-groups comparison was made to investigate differences between providing decision support feedback (logic trace, mission impact, both, no feedback) in a fault management task. Logic trace feedback was posited to provide users with a representation of the logic that the decision support tool used in reaching a conclusion about the best course of action to perform and is posited to support better diagnostic performance. Mission impact feedback was posited to provide the operator with a description of the potential effects that a taking a course of action will have on the pre-planned mission and is expected to support better prognoses of the outcome of a particular fault. Finally, providing both feedback types was posited to support better compensatory actions for fault situations. Results indicated that decision support feedback has potential improve diagnosis and decrease errors of commission in these tasks.
Show less - Date Issued
- 2004
- Identifier
- CFE0000234, ucf:46249
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000234
- Title
- MODERATORS OF TRUST AND RELIANCE ACROSS MULTIPLE DECISION AIDS.
- Creator
-
Ross, Jennifer, Szalma, James, University of Central Florida
- Abstract / Description
-
The present work examines whether user's trust of and reliance on automation, were affected by the manipulations of user's perception of the responding agent. These manipulations included agent reliability, agent type, and failure salience. Previous work has shown that automation is not uniformly beneficial; problems can occur because operators fail to rely upon automation appropriately, by either misuse (overreliance) or disuse (underreliance). This is because operators often face...
Show moreThe present work examines whether user's trust of and reliance on automation, were affected by the manipulations of user's perception of the responding agent. These manipulations included agent reliability, agent type, and failure salience. Previous work has shown that automation is not uniformly beneficial; problems can occur because operators fail to rely upon automation appropriately, by either misuse (overreliance) or disuse (underreliance). This is because operators often face difficulties in understanding how to combine their judgment with that of an automated aid. This difficulty is especially prevalent in complex tasks in which users rely heavily on automation to reduce their workload and improve task performance. However, when users rely on automation heavily they often fail to monitor the system effectively (i.e., they lose situation awareness – a form of misuse). However, if an operator realizes a system is imperfect and fails, they may subsequently lose trust in the system leading to underreliance. In the present studies, it was hypothesized that in a dual-aid environment poor reliability in one aid would impact trust and reliance levels in a companion better aid, but that this relationship is dependent upon the perceived aid type and the noticeability of the errors made. Simulations of a computer-based search-and-rescue scenario, employing uninhabited/unmanned ground vehicles (UGVs) searching a commercial office building for critical signals, were used to investigate these hypotheses. Results demonstrated that participants were able to adjust their reliance and trust on automated teammates depending on the teammate's actual reliability levels. However, as hypothesized there was a biasing effect among mixed-reliability aids for trust and reliance. That is, when operators worked with two agents of mixed-reliability, their perception of how reliable and to what degree they relied on the aid was effected by the reliability of a current aid. Additionally, the magnitude and direction of how trust and reliance were biased was contingent upon agent type (i.e., 'what' the agents were: two humans, two similar robotic agents, or two dissimilar robot agents). Finally, the type of agent an operator believed they were operating with significantly impacted their temporal reliance (i.e., reliance following an automation failure). Such that, operators were less likely to agree with a recommendation from a human teammate, after that teammate had made an obvious error, than with a robotic agent that had made the same obvious error. These results demonstrate that people are able to distinguish when an agent is performing well but that there are genuine differences in how operators respond to agents of mixed or same abilities and to errors by fellow human observers or robotic teammates. The overall goal of this research was to develop a better understanding how the aforementioned factors affect users' trust in automation so that system interfaces can be designed to facilitate users' calibration of their trust in automated aids, thus leading to improved coordination of human-automation performance. These findings have significant implications to many real-world systems in which human operators monitor the recommendations of multiple other human and/or machine systems.
Show less - Date Issued
- 2008
- Identifier
- CFE0002077, ucf:47579
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0002077
- Title
- THE EFFECTS OF AN INCREASING FEDERAL MINIMUM WAGE ON FEDERAL UNEMPLOYMENT AND JOB AUTOMATION LEVELS.
- Creator
-
Krayeski, Kiana, Hofler, Richard, University of Central Florida
- Abstract / Description
-
The industrial revolution was the start of increasing technological advancements that are continuing to grow today. Technology improves accuracy, efficiency and is more productive in comparison to human labor as it does not require breaks and cannot violate any labor laws. With many innovations available today, firms have more options to choose from and can select the relatively cheaper solution. The push for a fifteen-dollar minimum wage affects the firm's options, and the use of technology...
Show moreThe industrial revolution was the start of increasing technological advancements that are continuing to grow today. Technology improves accuracy, efficiency and is more productive in comparison to human labor as it does not require breaks and cannot violate any labor laws. With many innovations available today, firms have more options to choose from and can select the relatively cheaper solution. The push for a fifteen-dollar minimum wage affects the firm's options, and the use of technology might increasingly become the more viable choice. This study took data from the years 1993 to 2016 and created two regressions using the unemployment rate and job automation rate as the dependent variables. The independent variables looked at were the year, the population growth rate, the minimum wage, inflation, the gross domestic product growth rate, and the consumer price index. After normality checks and transformations were done two regressions were run, and the models were studied to determine the effects. Both regressions were found to be valid with f-statistics lower than one percent. All the statistically significant variables were retained in the model, and the insignificant variables were omitted to reproduce the regression and check for accuracy. The models with the lower Akaike's information criterion and Bayesian information criterion values were kept and used as the final models. Overall the regressions found that the year and consumer price index had the most substantial effects on the unemployment rate, and the consumer price index had the strongest effect on the automation rate. Limitations on the study include the data available, a possible lag in the effect of the minimum wage, and the possible inaccuracy in using industrial robot installation as a measure for job automation.
Show less - Date Issued
- 2018
- Identifier
- CFH2000424, ucf:45778
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFH2000424
- Title
- Machine Learning Methods for Multiparameter Flow Cytometry Analysis and Visualization.
- Creator
-
Sassano, Emily, Jha, Sumit Kumar, Pattanaik, Sumanta, Hughes, Charles, Moore, Sean, University of Central Florida
- Abstract / Description
-
Flow cytometry is a popular analytical cell-biology instrument that uses specific wavelengths of light to profile heterogeneous populations of cells at the individual level. Current cytometers have the capability of analyzing up to 20 parameters on over a million cells, but despite the complexity of these datasets, a typical workflow relies on subjective labor-intensive manual sequential analysis. The research presented in this dissertation provides two machine learning methods to increase...
Show moreFlow cytometry is a popular analytical cell-biology instrument that uses specific wavelengths of light to profile heterogeneous populations of cells at the individual level. Current cytometers have the capability of analyzing up to 20 parameters on over a million cells, but despite the complexity of these datasets, a typical workflow relies on subjective labor-intensive manual sequential analysis. The research presented in this dissertation provides two machine learning methods to increase the objectivity, efficiency, and discovery in flow cytometry data analysis. The first, a supervised learning method, utilizes previously analyzed data to evaluate new flow cytometry files containing similar parameters. The probability distribution of each dimension in a file is matched to each related dimension of a reference file through color indexing and histogram intersection methods. Once a similar reference file is selected the cell populations previously classified are used to create a tailored support vector machine capable of classifying cell populations as an expert would. This method has produced results highly correlated with manual sequential analysis, providing an efficient alternative for analyzing a large number of samples. The second, a novel unsupervised method, is used to explore and visualize single-cell data in an objective manner. To accomplish this, a hypergraph sampling method was created to preserve rare events within the flow data before divisively clustering the sampled data using singular value decomposition. The unsampled data is added to the discovered set of clusters using a support vector machine classifier, and the final analysis is displayed as a minimum spanning tree. This tree is capable of distinguishing rare subsets of cells comprising of less than 1% of the original data.
Show less - Date Issued
- 2018
- Identifier
- CFE0007243, ucf:52241
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0007243
- Title
- EFFECT OF REPEATED FUNCTION ALLOCATION AND RELIABILITY ON AUTOMATION INDUCED MONITORING INEFFICIENCY.
- Creator
-
Jones, Lauriann, Mouloua, Mustapha, University of Central Florida
- Abstract / Description
-
The purpose of this study is to extend previous findings of Mouloua, Parasuraman, and Molloy (1993), Parasuraman, Mouloua, and Molloy (1996), Hilburn, Parasuraman, and Mouloua (1996), and Oakley, Mouloua, and Hancock (2003) by: 1) examining the effect of repeated adaptive function allocation to manual control of minimal length (5 minutes) to reduce of human error and minimize workload; 2) explore the placement or timing of adaptive function allocation intervals (approximately 20 minutes of...
Show moreThe purpose of this study is to extend previous findings of Mouloua, Parasuraman, and Molloy (1993), Parasuraman, Mouloua, and Molloy (1996), Hilburn, Parasuraman, and Mouloua (1996), and Oakley, Mouloua, and Hancock (2003) by: 1) examining the effect of repeated adaptive function allocation to manual control of minimal length (5 minutes) to reduce of human error and minimize workload; 2) explore the placement or timing of adaptive function allocation intervals (approximately 20 minutes of automation control to reduce the human operators' monitoring decrement between intervals, maintain adaptive recovery performance levels, and improve response times); 3) examine different levels of automation reliability (30%, 60%, and 90% reliable); 4) explore factors that may be manipulated to reduce automation-induced monitoring inefficiency, increase detection of automation malfunctions, improve situation awareness, reduce response/reaction times, and reduce workload in a simulated complex aviation system. The study was a 2 (non-adaptive control vs. adaptive group) x 3 (30%, 60%, and 90% automation reliability condition) x 4 (repeated 25 minute session) mixed factorial design. Fifty-four undergraduate participants' (i.e., 27 participants per group; 9 participants per condition; at least 18 yrs. of age) percentage of detected malfunctions, response times, and subjective workload were gathered from the Multi-Attribute Task Battery and the NASA TLX. Results indicated a significant improvement in detection of malfunctions and response times during adaptive-function allocation to manual control but without adaptive recovery. There was a significant effect for workload found between baseline measures and experimental sessions by group in the first session but not across experimental sessions. Theoretical and practical implications, limitations and future research are discussed.
Show less - Date Issued
- 2007
- Identifier
- CFE0001874, ucf:47387
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001874
- Title
- AUTONOMOUS ROBOTIC AUTOMATION SYSTEMWITH VISION FEEDBACK.
- Creator
-
Rosino, Jeffery, Qu, Zhihua, University of Central Florida
- Abstract / Description
-
In this thesis, a full design, development and application of an autonomous robotic automation system using vision feedback is performed. To realize this system, a cylindrical manipulator configuration is implemented, using a personal computer (PC) based PID controller from National Instruments. Full autonomous control will be achieved via a programmable human machine interface (HMI) developed on a PC using Borland C++ Builder. The vision feedback position control is accomplished using an...
Show moreIn this thesis, a full design, development and application of an autonomous robotic automation system using vision feedback is performed. To realize this system, a cylindrical manipulator configuration is implemented, using a personal computer (PC) based PID controller from National Instruments. Full autonomous control will be achieved via a programmable human machine interface (HMI) developed on a PC using Borland C++ Builder. The vision feedback position control is accomplished using an ordinary "off-the-shelf" web camera. The manuscript is organized as follows; After Chapter 1, an introduction to automation history and its role in the manufacturing industry, Chapter 2 discusses and outlines the development of the robotic kinematics and dynamics of the system. A control strategy is also developed and simulated in this chapter. Chapter 3 discusses color image processing and shows the development of the algorithm used for the vision feedback position control. Chapter 4 outlines the system development, which includes the hardware and software. Chapter 5 concludes with a summary, and improvement section. The process used as a basis for the design and development of this thesis of this thesis topic was constructed from a manual capacitor orientation check test station. A more detailed definition and objective is presented in the introduction.
Show less - Date Issued
- 2004
- Identifier
- CFE0000277, ucf:46220
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000277
- Title
- TECHNIQUES FOR ASSESSING AND IMPROVING PERFORMANCE IN NAVIGATION AND WAYFINDING USING MOBILE AUGMENTED REALITY.
- Creator
-
Goldiez, Brian, Hancock, Peter, University of Central Florida
- Abstract / Description
-
Augmented reality is a field of technology in which the real world is overlaid with additional information from a computer generated display. Enhancements to augmented reality technology presently support limited mobility which is expected to increase in the future to provide much greater real world functionality. This work reports on a set of experiments that investigate performance in search and rescue navigating tasks using augmented reality. Augmentation consisted of a spatially and...
Show moreAugmented reality is a field of technology in which the real world is overlaid with additional information from a computer generated display. Enhancements to augmented reality technology presently support limited mobility which is expected to increase in the future to provide much greater real world functionality. This work reports on a set of experiments that investigate performance in search and rescue navigating tasks using augmented reality. Augmentation consisted of a spatially and temporally registered map of a maze that was overlaid onto a real world maze. Participants were required to traverse the maze, answer spatially oriented questions in the maze, acquire a target object, and exit. Pre and post hoc questionnaires were administered. Time and accuracy data from one hundred twenty participants were collected across six treatments. The between subject treatments, which had an equal number of male and female participants, were a control condition with only a compass, a control condition with a paper map available prior to maze traversal and four experimental conditions consisting of combinations of egocentric and exocentric maps, and a continuously on and on demand map display. Data collected from each participant consisted of time to traverse the maze, percent of the maze covered, estimations of euclidian distance and direction, estimations of cardinal direction, and spatial recall. Data was also collected via pre and post hoc questionnaires. Results indicate that best performance with respect to time was in the control condition with a map. The small size of the maze could have facilitated this result through route memorization. Augmented reality can offer enhancement to performance as navigational tasks become more complex and saturate working memory. Augmented reality showed best performance in accuracy by facilitating participants' coverage of the maze. Exocentric maps generally exhibited better performance than egocentric maps. On demand displays also generally resulted in better performance than continuously on displays. Gender differences also were evident with males exhibiting better performance than females. Participants reporting an initial tendency to not rotate maps exhibited better performance than those reporting a tendency to rotate maps. Enhancements being made to augmented reality and related technologies will result in more features, improved form factor for users, and improved performance in the future. Guidelines provided in this work seek to ensure augmented reality systems continue to progress in enhancing performance
Show less - Date Issued
- 2004
- Identifier
- CFE0000177, ucf:46157
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000177
- Title
- WIKIPDF - A TOOL TO HELP SCIENTISTS UNDERSTAND THE LITERATURE OF THE BIOLOGICAL, HEALTH, AND LIFE SCIENCES.
- Creator
-
Calloway, David, Parkinson, Christopher, University of Central Florida
- Abstract / Description
-
Biological sciences literature can be extraordinarily difficult to understand. Papers are commonly filled with terminology unique to a particular sub-discipline. Readers with expertise outside that sub-discipline often have difficulty understanding information the author is trying to convey. The WikiPDF project that is the subject of this thesis helps readers understand the biological sciences literature by automatically generating a customized glossary for each page of any technical paper...
Show moreBiological sciences literature can be extraordinarily difficult to understand. Papers are commonly filled with terminology unique to a particular sub-discipline. Readers with expertise outside that sub-discipline often have difficulty understanding information the author is trying to convey. The WikiPDF project that is the subject of this thesis helps readers understand the biological sciences literature by automatically generating a customized glossary for each page of any technical paper available in Adobe Portable Document Format (PDF) format. WikiPDF relies on the Wikipedia®, an on-line encyclopedia created and supported by a host of volunteers, as a source of definitions used in its glossaries. WikiPDF uses the National Institutes of Health (NIH) Medline/PubMed database of journal papers to organize, index, and locate WikiPDF glossaries. Design and implementation of this project relied exclusively on open-source software, including the Linux operating system, the Apache Tomcat web server, and the MySQL relational database system.
Show less - Date Issued
- 2006
- Identifier
- CFE0001084, ucf:46782
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001084
- Title
- INDIVIDUAL PREFERENCES IN THE USE OF AUTOMATION.
- Creator
-
Thropp, Jennifer, Hancock, Peter, University of Central Florida
- Abstract / Description
-
As system automation increases and evolves, the intervention of the supervising operator becomes ever less frequent but ever more crucial. The adaptive automation approach is one in which control of tasks dynamically shifts between humans and machines, being an alternative to traditional static allocation in which task control is assigned during system design and subsequently remains unchanged during operations. It is proposed that adaptive allocation should adjust to the individual operators...
Show moreAs system automation increases and evolves, the intervention of the supervising operator becomes ever less frequent but ever more crucial. The adaptive automation approach is one in which control of tasks dynamically shifts between humans and machines, being an alternative to traditional static allocation in which task control is assigned during system design and subsequently remains unchanged during operations. It is proposed that adaptive allocation should adjust to the individual operators' characteristics in order to improve performance, avoid errors, and enhance safety. The roles of three individual difference variables relevant to adaptive automation are described: attentional control, desirability of control, and trait anxiety. It was hypothesized that these traits contribute to the level of performance for target detection tasks for different levels of difficulty as well as preferences for different levels of automation. The operators' level of attentional control was inversely proportional to automation level preferences, although few objective performance changes were observed. The effects of sensory modality were also assessed, and auditory signal detection was superior to visual signal detection. As a result, the following implications have been proposed: operators generally preferred either low or high automation while neglecting the intermediary level; preferences and needs for automation may not be congruent; and there may be a conservative response bias associated with high attentional control, notably in the auditory modality.
Show less - Date Issued
- 2006
- Identifier
- CFE0001096, ucf:46771
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001096
- Title
- Verification and Automated Synthesis of Memristor Crossbars.
- Creator
-
Pourtabatabaie, Arya, Jha, Sumit Kumar, Chatterjee, Mainak, Pattanaik, Sumanta, University of Central Florida
- Abstract / Description
-
The Memristor is a newly synthesized circuit element correlating differences in electrical charge and magnetic flux, which effectively acts as a nonlinear resistor with memory. The small size of this element and its potential for passive state preservation has opened great opportunities for data-level parallel computation, since the functions of memory and processing can be realized on the same physical device.In this research we present an in-depth study of memristor crossbars for...
Show moreThe Memristor is a newly synthesized circuit element correlating differences in electrical charge and magnetic flux, which effectively acts as a nonlinear resistor with memory. The small size of this element and its potential for passive state preservation has opened great opportunities for data-level parallel computation, since the functions of memory and processing can be realized on the same physical device.In this research we present an in-depth study of memristor crossbars for combinational and sequential logic. We outline the structure of formulas which they are able to produce and henceforth the inherent powers and limitations of Memristive Crossbar Computing.As an improvement on previous methods of automated crossbar synthesis, a method for symbolically verifying crossbars is proposed, proven and analysed.
Show less - Date Issued
- 2016
- Identifier
- CFE0006840, ucf:51765
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006840
- Title
- The Impact of Automation and Stress on Human Performance in UAV Operation.
- Creator
-
Lin, Jinchao, Matthews, Gerald, Reinerman, Lauren, Szalma, James, Funke, Gregory, University of Central Florida
- Abstract / Description
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The United States Air Force (USAF) has increasing needs for unmanned aerial vehicle (UAV) operators. Automation may enable a single operator to manage multiple UAVs at the same time. Multi-UAV operation may require a unique set of skills and the need for new operators calls for targeting new populations for recruitment. The objective of this research is to develop a simulation environment for studying the role of individual differences in UAV operation under different task configurations and...
Show moreThe United States Air Force (USAF) has increasing needs for unmanned aerial vehicle (UAV) operators. Automation may enable a single operator to manage multiple UAVs at the same time. Multi-UAV operation may require a unique set of skills and the need for new operators calls for targeting new populations for recruitment. The objective of this research is to develop a simulation environment for studying the role of individual differences in UAV operation under different task configurations and investigate predictors of performance and stress. Primarily, the study examined the impact of levels of automation (LOAs), as well as task demands, on task performance, stress and operator reliance on automation. Two intermediate LOAs were employed for two surveillance tasks included in the simulation of UAV operation. Task demand was manipulated via the high and low frequency of events associated with additional tasks included in the simulation. The task demand and LOA manipulations influenced task performance generally as expected. The task demand manipulations elicited higher subjective distress and workload. LOAs did not affect operator workload but affected reliance behavior. Also, this study examined the role of individual differences in simulated UAV operation. A variety of individual difference factors were associated with task performance and with subjective stress response. Video gaming experience was linked to lower distress and better performance, suggesting possible transfer of skills. Some gender differences were revealed in stress response, task performance, but all the gender effects became insignificant with gaming experience controlled. Generally, the effects of personality were consistent with previous studies, except some novel findings with the performance metrics. Additionally, task demand was found to moderate the influence of personality factors on stress response and performance metrics. Specifically, conscientiousness was associated with higher subjective engagement and performance when demands were higher. This study supports future research which aims to improve the dynamic interfaces in UAV operation, optimize operator reliance on automation, and identify individuals with the highest aptitude for multi-UAV control.
Show less - Date Issued
- 2017
- Identifier
- CFE0006951, ucf:51630
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006951
