Current Search: intelligent (x)
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- Title
- THE IMPACT OF COMPUTER BASED SIMULATION TRAINING ON LEADERSHIP DEVELOPMENT.
- Creator
-
Sidor, Stanley, House, Jess, University of Central Florida
- Abstract / Description
-
The purpose of this study was to investigate the relationship between measures of emotional intelligence after participation in a simulation based leadership development program as applied to a student cohort at a community college. Additionally, this study was conducted to investigate significant differences in emotional intelligence subscales when compared to the categorical variables of age, race, gender, position type, number of years employed, and time. All 300 students in the...
Show moreThe purpose of this study was to investigate the relationship between measures of emotional intelligence after participation in a simulation based leadership development program as applied to a student cohort at a community college. Additionally, this study was conducted to investigate significant differences in emotional intelligence subscales when compared to the categorical variables of age, race, gender, position type, number of years employed, and time. All 300 students in the introductory management classes in the Bachelors of Applied Science business principles classes in the Business program were invited to participate. A total of 201 questionnaires representing 103 individuals were returned, garnering a 67% initial return rate; the total number of useable surveys was 182 representing 91 individuals for a final useable return rate of 60.7%. An analysis of the relationship between the measures of emotional intelligence before and after participating in leadership simulation revealed statistically significant differences after participation in the leadership simulation. There was a significant increase in respondent scores in three of the four subscales after the respondents participated in the Virtual Leader simulation: (a) self-emotion appraisal (SEA), p = .031; (b) others emotion appraisal (OEA), p = .002; and (c) regulation of emotion (ROE), p =.002. The emotional intelligence construct, use of emotion (UOE), p = .061, did not demonstrate statistical significance. A statistical analysis of all combinations and interactions of the categorical variables (age, race, gender, years employed, and position types compared to the value
Show less - Date Issued
- 2007
- Identifier
- CFE0001705, ucf:47330
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001705
- Title
- The Relationship between Mentoring and Social Status at Work: A Social Network Status Study.
- Creator
-
Flowers, Lakeesha, Jentsch, Kimberly, Fritzsche, Barbara, Wooten, William, Chepenik, Nancy, University of Central Florida
- Abstract / Description
-
Mentoring is an important means of developing talent. Typically, mentoring involves two individuals (-) a mentor, who provides career development and psychosocial support to a less experienced counterpart (the prot(&)#233;g(&)#233;). Because mentoring is related to several desired outcomes such as career advancement, and job satisfaction, it is important to understand which individual characteristics are important to obtaining or providing effective mentoring. It is also necessary to examine...
Show moreMentoring is an important means of developing talent. Typically, mentoring involves two individuals (-) a mentor, who provides career development and psychosocial support to a less experienced counterpart (the prot(&)#233;g(&)#233;). Because mentoring is related to several desired outcomes such as career advancement, and job satisfaction, it is important to understand which individual characteristics are important to obtaining or providing effective mentoring. It is also necessary to examine potential but unconfirmed outcomes of mentoring such as social network status. This study examined the relationships between several individual characteristics, namely social intelligence and emotional intelligence, and mentoring relationships. In addition, this study examined the relationships between mentoring and social network status. In this non-experimental study, there were several unique relationships among these constructs. The results indicate a person's social intelligence is indicative of their status as a mentor (or not a mentor) but is not related to status as a prot(&)#233;g(&)#233; (or not a prot(&)#233;g(&)#233;). In addition, a mentor's perception of the costs and benefits of mentoring were explained by the prot(&)#233;g(&)#233;'s social intelligence and emotional intelligence. A mentor's social intelligence also explained the quality of the mentoring given. Finally, a mentor's social network status was related to the prot(&)#233;g(&)#233;'s social network status but this relationship was not due to the mentoring received. This study provides one of the first examinations of the relationship between mentoring and social network status and provides areas for future research and practical considerations.
Show less - Date Issued
- 2012
- Identifier
- CFE0004308, ucf:49478
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0004308
- Title
- EINO: AN INTELLIGENT TUTOR FOR THE UNIVERSITY OF CENTRAL FLORIDA INFINITY WEB APPLETS.
- Creator
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Hollister, James, Richie, Samuel, University of Central Florida
- Abstract / Description
-
This study investigated the various methods involved in creating an intelligent tutor for the University of Central Florida Infinity Web Applets (UCF Infinity Web Applets). After conducting research into various methods, two major methods emerged and they are: solving the problem for the student and helping the student when they become stymied and unable to solve the problem. A storyboard was created to show the interactions of the student and system along with a list of features that were...
Show moreThis study investigated the various methods involved in creating an intelligent tutor for the University of Central Florida Infinity Web Applets (UCF Infinity Web Applets). After conducting research into various methods, two major methods emerged and they are: solving the problem for the student and helping the student when they become stymied and unable to solve the problem. A storyboard was created to show the interactions of the student and system along with a list of features that were desired to be included in the tutoring system. From the storyboard and list of features, an architecture was created to handle all of the interactions and features. After the initial architecture was designed, the development of the actual system was started. The architecture underwent a multitude of changes to conclude with a working system, EINO. The final architecture of EINO incorporated a case based reasoning system to perform pattern recognition on the student's input into the UCF Infinity Web Applets. The interface that the student interacts with was created using flash. EINO was implemented in three of the labs from the UCF Infinity Web Applets. A series of tests were performed on the EINO tutoring system to prove that the system could actually perform each and every one of the features listed initially. The final test was a simulation of how the EINO would perform under a set of given cases. Test subjects with the same educational level as the target group were chosen to spend an unlimited time using each of the three labs. Each of the test subjects filled out a survey on every lab to determine if the EINO system produced a helpful output.
Show less - Date Issued
- 2007
- Identifier
- CFE0001762, ucf:47275
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001762
- Title
- U.S. INTELLIGENCE REFORM: A BUREAUCRATIC POLITICS APPROACH.
- Creator
-
Schickler, Bonnie, Houghton, David, University of Central Florida
- Abstract / Description
-
This study investigates the current bureaucratic struggles that exist within the U.S. intelligence community as a result of the Intelligence Reform and Terrorism Prevention Act (IRTPA) of 2004. The first part of this research examines the history of intelligence reform in the United States beginning with the National Security Act of 1947. The second part provides an in-depth discussion of the 2004 legislation as well as an examination of the main bureaucratic conflicts that have arisen...
Show moreThis study investigates the current bureaucratic struggles that exist within the U.S. intelligence community as a result of the Intelligence Reform and Terrorism Prevention Act (IRTPA) of 2004. The first part of this research examines the history of intelligence reform in the United States beginning with the National Security Act of 1947. The second part provides an in-depth discussion of the 2004 legislation as well as an examination of the main bureaucratic conflicts that have arisen between the Director of National Intelligence (DNI) and the rest of the U.S. intelligence community. This study used the bureaucratic politics model to explain the development of the current disagreements, the reasons behind the DNIÃÂ's struggle for power, and the intelligence communityÃÂ's inability to adapt to the reform. This research determined that the current conflicts have occurred as a result of the unclear authorities issued to the DNI by IRTPA and have been further exacerbated by interest-driven intelligence agencies and a well-developed culture that has proven difficult to abandon. This research also provides insight into several alternative approaches that can be used to explain the current U.S. intelligence reform process. Additionally, recommendations were made for reducing the bureaucratic friction that currently exists within the intelligence community and to strengthen the overall authority of the Director of National Intelligence.
Show less - Date Issued
- 2010
- Identifier
- CFE0003422, ucf:48376
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0003422
- Title
- PREDICTING LICENSING EXAMINATION PERFORMANCE WITH COGNITIVE STYLE AND REACTIVE BEHAVIOR PATTERN ASSESSMENTS.
- Creator
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Combs, Daniel Paul, Dziuban, Charles D., University of Central Florida
- Abstract / Description
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Candidates for Florida real estate sales associate licensure responded to a two-part questionnaire based on William A. Long's Reactive Behavior Patterns Theory and Robert J. Sternberg's Triarchic Theory of Intelligence. Examination scores were converted to a dichotomous pass/fail variable based on the Florida Real Estate Commission-mandated cut-off score of 75 correctly answered questions out of 100. The candidates' responses to the questionnaire comprising the Long-Dziuban Inventory and the...
Show moreCandidates for Florida real estate sales associate licensure responded to a two-part questionnaire based on William A. Long's Reactive Behavior Patterns Theory and Robert J. Sternberg's Triarchic Theory of Intelligence. Examination scores were converted to a dichotomous pass/fail variable based on the Florida Real Estate Commission-mandated cut-off score of 75 correctly answered questions out of 100. The candidates' responses to the questionnaire comprising the Long-Dziuban Inventory and the Cognitive Strengths Task List based on Sternberg's theory, were crosstabulated with pass/fail to identify differential passing proportions, if any, based on reactive behavior pattern and/or cognitive strength. An ANOVA procedure was used with the raw scores to determine whether statistically significant differences in mean exam scores existed between the four Long Types and the three Cognitive Types adapted from Sternberg's theory. The data were subjected to similar analyses to ascertain whether the ancillary traits described by Long were predictive of exam performance. A crosstabulation of Long Type by Cognitive (Sternberg) Type was performed to find out if any significant relationships existed between the several dimensions of the Long-Dziuban Inventory and the Cognitive Strengths Task List. The results revealed a moderate statistically significant relationship between exam performance and cognitive strength, with analytical types and creative types having the greatest exam success. Tenuous relationships were identified between exam performance and the Long types and traits and between the Long-based and the Sternberg-based components of the research instrument. Although the results of this study did not establish definitive relationships between the Long and Sternberg constructs, by combining them into a measure of cognitive style, it forged a framework for future research into the relationship between licensing examination performance and cognitive styles. Within this framework are theiiicomponents of a predictive model potentially useful for identifying not only real estate licensing exam performance but also for identifying persons likely to succeed in the real estate industry
Show less - Date Issued
- 2004
- Identifier
- CFE0000036, ucf:46119
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000036
- Title
- SENSOR-BASED COMPUTING TECHNIQUES FOR REAL-TIME TRAFFIC EVACUATION MANAGEMENT.
- Creator
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Hamza-Lup, Georgiana, Hua, Kien, University of Central Florida
- Abstract / Description
-
The threat of terrorist incidents is higher than ever before and devastating acts, such as the terrorist attacks on the World Trade Center and the Pentagon, have left many concerns about the possibility of future incidents and their potential impact. Unlike some natural disasters that can be anticipated, terrorist attacks are sudden and unexpected. Even if sometimes we do have partial information about a possible attack, it is generally not known exactly where, when, or how an attack will...
Show moreThe threat of terrorist incidents is higher than ever before and devastating acts, such as the terrorist attacks on the World Trade Center and the Pentagon, have left many concerns about the possibility of future incidents and their potential impact. Unlike some natural disasters that can be anticipated, terrorist attacks are sudden and unexpected. Even if sometimes we do have partial information about a possible attack, it is generally not known exactly where, when, or how an attack will occur. This lack of information posses great challenges on those responsible for security, specifically, on their ability to respond fast, whenever necessary with flexibility and coordination. The surface transportation system plays a critical role in responding to terrorist attacks or other unpredictable human-caused disasters. In particular, existing Intelligent Transportation Systems (ITS) can be enhanced to improve the ability of the surface transportation system to efficiently respond to emergencies and recover from disasters. This research proposes the development of new information technologies to enhance today's ITS with capabilities to improve the crisis response capabilities of the surface transportation system. The objective of this research is to develop a Smart Traffic Evacuation Management System (STEMS) that responds rapidly and effectively to terrorist threats or other unpredictable disasters, by creating dynamic evacuation plans adaptable to continuously changing traffic conditions based on real-time information. The intellectual merit of this research is that the proposed STEMS will possess capabilities to support both the unexpected and unpredictable aspects of a terrorist attack and the dynamic aspect of the traffic network environment. Studies of related work indicate that STEMS is the first system that automatically generates evacuation plans, given the location and scope of an incident and the current traffic network conditions, and dynamically adjusts the plans based on real-time information received from sensors and other surveillance technologies. Refining the plans to keep them consistent with the current conditions significantly improves evacuation effectiveness. The changes that STEMS can handle range from slow, steady variations in traffic conditions, to more sudden variations caused by secondary accidents or other stochastic factors (e.g., high visibility events that determine a sudden increase in the density of the traffic). Being especially designed to handle evacuation in case of terrorist-caused disasters, STEMS can also handle multiple coordinated attacks targeting some strategic area over a short time frame. These are frequently encountered in terrorist acts as they are intended to create panic and terror. Due to the nature of the proposed work, an important component of this project is the development of a simulation environment to support the design and test of STEMS. Developing analytical patterns for modeling traffic dynamics has been explored in the literature at different levels of resolution and realism. Most of the proposed approaches are either too limited in representing reality, or too complex for handling large networks. The contribution of this work consists of investigating and developing traffic models and evacuation algorithms that overcome both of the above limitations. Two of the greatest impacts of this research in terms of science are as follows. First, the new simulation environment developed for this project provides a test bed to facilitate future work on traffic evacuation systems. Secondly, although the models and algorithms developed for STEMS are targeted towards traffic environments and evacuation, their applicability can be extended to other environments (e.g., building evacuation) and other traffic related problems (e.g., real-time route diversion in case of accidents). One of the broader impacts of this research would be the deployment of STEMS in a real environment. This research provides a fundamental tool for handling emergency evacuation for a full range of unpredictable incidents, regardless of cause, origin and scope. Wider and swifter deployment of STEMS will support Homeland Security in general, and will also enhance the surface transportation system on which so many Homeland Security stakeholders depend.
Show less - Date Issued
- 2006
- Identifier
- CFE0001248, ucf:46919
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001248
- Title
- ASSESSMENT OF THE CONTRIBUTION OF GAME-BASED SIMULATION IN THE ADVANCEMENT OF INDIVIDUAL SOLDIER INTELLIGENCE GATHERING SKILLS.
- Creator
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Wiley, Carlos, Proctor, Michael, University of Central Florida
- Abstract / Description
-
Self-directed Learning Internet Modules based on gaming technology are making tremendous strides as tools to current training system for our military services. Currently, the US Army is testing the Every Soldier is a Sensor Simulation software (ES3) as part of the Every Soldiers a Sensor program that focuses on intelligence gathering and maintaining situational awareness. The primary training goal of this simulation is the training of individual soldiers on conducting "Active Surveillance"...
Show moreSelf-directed Learning Internet Modules based on gaming technology are making tremendous strides as tools to current training system for our military services. Currently, the US Army is testing the Every Soldier is a Sensor Simulation software (ES3) as part of the Every Soldiers a Sensor program that focuses on intelligence gathering and maintaining situational awareness. The primary training goal of this simulation is the training of individual soldiers on conducting "Active Surveillance" and "Threat Indicator Identification" where the soldier is an active participant in the process. Traditional training in intelligence gathering is based largely on cold war models. As a direct result of post 9 -11 activities and the Global War on Terrorism, changes to our process for intelligence gathering are continuing to be made to meet the challenges of the asymmetrical battlefield. This thesis assesses the contribution of game-based simulation in the advancement of individual soldier intelligence gathering skills by investigating performance as it relates to information processing, self-directed learning, and transfer. Specifically, this research will examine whether various combinations of directed and self-directed learning modules enhance soldier performance during intelligence gathering operations by determining the time, proportion of correct detections, weighted significance of detections, and accuracy of detections while participating in a live threat indicator lane as part of an experiment. The assessment is from a user and expert evaluator perspective and may be used to improve current and future gaming applications associated with individual training and intelligence gathering.
Show less - Date Issued
- 2007
- Identifier
- CFE0001686, ucf:47194
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001686
- Title
- Emotional Intelligence in Organizational Social Networks.
- Creator
-
Hermsdorfer, Andrea, Joseph, Dana, Fritzsche, Barbara, Wang, Wei, University of Central Florida
- Abstract / Description
-
This study examined the role of emotional intelligence in relationships. Drawing on the notion that individuals who are high on emotional intelligence should have more social ties to others and stronger relationships within these ties, this study used social network analysis to specifically examine the extent to which emotional intelligence is positively related to social network centrality. I hypothesized that emotional intelligence would be positively related to centrality in four networks:...
Show moreThis study examined the role of emotional intelligence in relationships. Drawing on the notion that individuals who are high on emotional intelligence should have more social ties to others and stronger relationships within these ties, this study used social network analysis to specifically examine the extent to which emotional intelligence is positively related to social network centrality. I hypothesized that emotional intelligence would be positively related to centrality in four networks: advice, friendship, support, and positive affect presence. The hypotheses were not supported in this study, in spite of this, the incremental validity suggest a relationship between emotional intelligence and network centrality that may show up in future research.
Show less - Date Issued
- 2016
- Identifier
- CFE0006686, ucf:51927
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006686
- Title
- Vehicle Tracking and Classification via 3D Geometries for Intelligent Transportation Systems.
- Creator
-
Mcdowell, William, Mikhael, Wasfy, Jones, W Linwood, Haralambous, Michael, Atia, George, Mahalanobis, Abhijit, Muise, Robert, University of Central Florida
- Abstract / Description
-
In this dissertation, we present generalized techniques which allow for the tracking and classification of vehicles by tracking various Point(s) of Interest (PoI) on a vehicle. Tracking the various PoI allows for the composition of those points into 3D geometries which are unique to a given vehicle type. We demonstrate this technique using passive, simulated image based sensor measurements and three separate inertial track formulations. We demonstrate the capability to classify the 3D...
Show moreIn this dissertation, we present generalized techniques which allow for the tracking and classification of vehicles by tracking various Point(s) of Interest (PoI) on a vehicle. Tracking the various PoI allows for the composition of those points into 3D geometries which are unique to a given vehicle type. We demonstrate this technique using passive, simulated image based sensor measurements and three separate inertial track formulations. We demonstrate the capability to classify the 3D geometries in multiple transform domains (PCA (&) LDA) using Minimum Euclidean Distance, Maximum Likelihood and Artificial Neural Networks. Additionally, we demonstrate the ability to fuse separate classifiers from multiple domains via Bayesian Networks to achieve ensemble classification.
Show less - Date Issued
- 2015
- Identifier
- CFE0005976, ucf:50790
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005976
- Title
- Online Neuro-Adaptive Learning For Power System Dynamic State Estimation.
- Creator
-
Birari, Rahul, Zhou, Qun, Sun, Wei, Dimitrovski, Aleksandar, University of Central Florida
- Abstract / Description
-
With the increased penetration of renewable generation in the smart grid , it is crucial to have knowledge of rapid changes of system states. The information of real-time electro-mechanical dynamic states of generators are essential to ensuring reliability and detecting instability of the grid. The conventional SCADA based Dynamic State Estimation (DSE) was limited by the slow sampling rates (2-4 Hz). With the advent of PMU based synchro-phasor technology in tandem with Wide Area Monitoring...
Show moreWith the increased penetration of renewable generation in the smart grid , it is crucial to have knowledge of rapid changes of system states. The information of real-time electro-mechanical dynamic states of generators are essential to ensuring reliability and detecting instability of the grid. The conventional SCADA based Dynamic State Estimation (DSE) was limited by the slow sampling rates (2-4 Hz). With the advent of PMU based synchro-phasor technology in tandem with Wide Area Monitoring System (WAMS), it has become possible to avail rapid real-time measurements at the network nodes. These measurements can be exploited for better estimates of system dynamic states. In this research, we have proposed a novel Artificial Intelligence (AI) based real-time neuro-adaptive algorithm for rotor angle and speed estimation of synchronous generators. Generator swing equations and power flow models are incorporated in the online learning. The algorithm learns and adapts in real-time to achieve accurate estimates. Simulation is carried out on 68 bus 16 generator NETS-NYPS model. The neuro-adaptive algorithm is compared with classical Kalman Filter based DSE. Applicability and accuracy of the proposed method is demonstrated under the influence of noise and faulty conditions.
Show less - Date Issued
- 2017
- Identifier
- CFE0006858, ucf:51747
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006858
- Title
- Modeling Learner Mood in Realtime through Biosensors for Intelligent Tutoring Improvements.
- Creator
-
Brawner, Keith, Gonzalez, Avelino, Boloni, Ladislau, Georgiopoulos, Michael, Proctor, Michael, Beidel, Deborah, University of Central Florida
- Abstract / Description
-
Computer-based instructors, just like their human counterparts, should monitor the emotional and cognitive states of their students in order to adapt instructional technique. Doing so requires a model of student state to be available at run time, but this has historically been difficult. Because people are different, generalized models have not been able to be validated. As a person's cognitive and affective state vary over time of day and seasonally, individualized models have had differing...
Show moreComputer-based instructors, just like their human counterparts, should monitor the emotional and cognitive states of their students in order to adapt instructional technique. Doing so requires a model of student state to be available at run time, but this has historically been difficult. Because people are different, generalized models have not been able to be validated. As a person's cognitive and affective state vary over time of day and seasonally, individualized models have had differing difficulties. The simultaneous creation and execution of an individualized model, in real time, represents the last option for modeling such cognitive and affective states. This dissertation presents and evaluates four differing techniques for the creation of cognitive and affective models that are created on-line and in real time for each individual user as alternatives to generalized models. Each of these techniques involves making predictions and modifications to the model in real time, addressing the real time datastream problems of infinite length, detection of new concepts, and responding to how concepts change over time. Additionally, with the knowledge that a user is physically present, this work investigates the contribution that the occasional direct user query can add to the overall quality of such models. The research described in this dissertation finds that the creation of a reasonable quality affective model is possible with an infinitesimal amount of time and without (")ground truth(") knowledge of the user, which is shown across three different emotional states. Creation of a cognitive model in the same fashion, however, was not possible via direct AI modeling, even with all of the (")ground truth(") information available, which is shown across four different cognitive states.
Show less - Date Issued
- 2013
- Identifier
- CFE0004822, ucf:49734
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0004822
- Title
- GOVERNMENT AND THE INTELLIGENCE COMMUNITY: A CASE STUDY ON RUSSIA AND THE UNITED STATES GOVERNMENT'S EFFECT ON INTELLIGENCE SYSTEMS.
- Creator
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Lago, Jessica M, Knuckey, Jonathan, Reynolds, Ted, University of Central Florida
- Abstract / Description
-
The United States and Russia are two major superpowers with governments that are run in different manners. Central to a government's and country's defense is their intelligence systems. The intelligence systems of these two countries are run as part of the government and are integral to its functioning. The purpose of this thesis is to discuss how both the governments and intelligence systems are structured and do they coincide with their respective systems. Using a case study on the United...
Show moreThe United States and Russia are two major superpowers with governments that are run in different manners. Central to a government's and country's defense is their intelligence systems. The intelligence systems of these two countries are run as part of the government and are integral to its functioning. The purpose of this thesis is to discuss how both the governments and intelligence systems are structured and do they coincide with their respective systems. Using a case study on the United States and Russia, their intelligence systems and governments a comparison was drawn. While looking at the history of both governments and communities and what they are like in the present day it was determined that there exist similarities in structures. As the countries grew and modernized so did their intelligence community. The history of how the intelligence community developed in their respective country and interacted with citizens both foreign and domestic showed striking similarities to the governments own workings. Another important find was the rules and restrictions that were involved in the government's evolution was also paralleled in the intelligence communities evolution. In the United States there are regulations against intruding into the lives and properties of citizens and the intelligence community reflects this in executive order 12333 that states intelligence communities cannot collect information on citizens unless it is imperative to the safety and security of the country.
Show less - Date Issued
- 2018
- Identifier
- CFH2000368, ucf:45832
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFH2000368
- Title
- A SOFTWARE-BASED KNOWLEDGE MANAGEMENT SYSTEM USING NARRATIVE TEXTS.
- Creator
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McDaniel, Thomas Rudy, Dombrowski, Paul, University of Central Florida
- Abstract / Description
-
Technical and professional communicators have in recent research been challenged to make significant contributions to the field of knowledge management, and to learn or create the new technologies allowing them to do so. The purpose of this dissertation is to make such a combined theoretical and applied contribution from the context of the emerging discipline of Texts and Technology. This dissertation explores the field of knowledge management (KM), particularly its relationship to the...
Show moreTechnical and professional communicators have in recent research been challenged to make significant contributions to the field of knowledge management, and to learn or create the new technologies allowing them to do so. The purpose of this dissertation is to make such a combined theoretical and applied contribution from the context of the emerging discipline of Texts and Technology. This dissertation explores the field of knowledge management (KM), particularly its relationship to the related study of artificial intelligence (AI), and then recommends a KM software application based on the principles of narratology and narrative information exchange. The focus of knowledge is shifted from the reductive approach of data and information to a holistic approach of meaning and the way people make sense of complex events as experiences expressed in stories. Such an analysis requires a discussion of the evolution of intelligent systems and narrative theory as well as an examination of existing computerized and non-computerized storytelling systems. After a thorough discussion of these issues, an original software program that is used to collect, analyze, and distribute thematic stories within any hierarchical organization is modeled, exemplified, and explained in detail.
Show less - Date Issued
- 2004
- Identifier
- CFE0000012, ucf:46117
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000012
- Title
- MODELING THE INFLUENCES OF PERSONALITY PREFERENCES ON THE SELECTION OF INSTRUCTIONAL STRATEGIES ININTELLIGENT TUTORING SYSTEMS.
- Creator
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Sottilare, Robert, Proctor, Michael, University of Central Florida
- Abstract / Description
-
This thesis hypothesizes that a method for selecting instructional strategies (specifically media) based in part on a relationship between learning style preference and personality preference provides more relevant and understandable feedback to students and thereby higher learning effectiveness. This research investigates whether personality preferences are valid predictors of learning style preferences. Since learning style preferences are a key consideration in instructional strategies and...
Show moreThis thesis hypothesizes that a method for selecting instructional strategies (specifically media) based in part on a relationship between learning style preference and personality preference provides more relevant and understandable feedback to students and thereby higher learning effectiveness. This research investigates whether personality preferences are valid predictors of learning style preferences. Since learning style preferences are a key consideration in instructional strategies and instructional strategies are a key consideration in learning effectiveness, this thesis contributes to a greater understanding of the relationship between personality preferences and effective learning in intelligent tutoring systems (ITS). This research attempts to contribute to the goal of a "truly adaptive ITS" by first examining relationships between personality preferences and learning style preferences; and then by modeling the influences of personality on learning strategies to optimize feedback for each student. This thesis explores the general question "what can personality preferences contribute to learning in intelligent tutoring systems?" So, why is it important to evaluate the relationship between personality preferences and learning strategies in ITS? "While one-on-one human tutoring is still superior to ITS in general, this approach is idiosyncratic and not feasible to deliver to [any large population] in any cost-effective manner." (Loftin, 2004). Given the need for ITS in large, distributed populations (i.e. the United States Army), it is important to explore methods of increasing ITS performance and adaptability. Findings of this research include that the null hypothesis that "there is no dependency between personality preference variables and learning style preference variables" was partly rejected. Highly significant correlations between the personality preferences, openness and extraversion, were established for both the active-reflective and sensing-intuitive learning style preferences. Discussion of other relationships is provided.
Show less - Date Issued
- 2006
- Identifier
- CFE0001403, ucf:47074
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001403
- Title
- LEARNING HUMAN BEHAVIOR FROM OBSERVATION FOR GAMING APPLICATIONS.
- Creator
-
Moriarty, Christopher, Gonzalez, Avelino, University of Central Florida
- Abstract / Description
-
The gaming industry has reached a point where improving graphics has only a small effect on how much a player will enjoy a game. One focus has turned to adding more humanlike characteristics into computer game agents. Machine learning techniques are being used scarcely in games, although they do offer powerful means for creating humanlike behaviors in agents. The first person shooter (FPS), Quake 2, is an open source game that offers a multi-agent environment to create game agents (bots) in....
Show moreThe gaming industry has reached a point where improving graphics has only a small effect on how much a player will enjoy a game. One focus has turned to adding more humanlike characteristics into computer game agents. Machine learning techniques are being used scarcely in games, although they do offer powerful means for creating humanlike behaviors in agents. The first person shooter (FPS), Quake 2, is an open source game that offers a multi-agent environment to create game agents (bots) in. This work attempts to combine neural networks with a modeling paradigm known as context based reasoning (CxBR) to create a contextual game observation (CONGO) system that produces Quake 2 agents that behave as a human player trains them to act. A default level of intelligence is instilled into the bots through contextual scripts to prevent the bot from being trained to be completely useless. The results show that the humanness and entertainment value as compared to a traditional scripted bot have improved, although, CONGO bots usually ranked only slightly above a novice skill level. Overall, CONGO is a technique that offers the gaming community a mode of game play that has promising entertainment value.
Show less - Date Issued
- 2007
- Identifier
- CFE0001694, ucf:47201
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001694
- Title
- ON ADVANCED TEMPLATE-BASED INTERPRETATION AS APPLIED TO INTENTION RECOGNITION IN A STRATEGIC ENVIRONMENT.
- Creator
-
Akridge, Cameron, Gonzalez, Avelino, University of Central Florida
- Abstract / Description
-
An area of study that has received much attention over the past few decades is simulations involving threat assessment in military scenarios. Recently, much research has emerged concerning the recognition of troop movements and formations in non-combat simulations. Additionally, there have been efforts towards the detection and assessment of various types of malicious intentions. One such work by Akridge addressed the issue of Strategic Intention Recognition, but fell short in the detection...
Show moreAn area of study that has received much attention over the past few decades is simulations involving threat assessment in military scenarios. Recently, much research has emerged concerning the recognition of troop movements and formations in non-combat simulations. Additionally, there have been efforts towards the detection and assessment of various types of malicious intentions. One such work by Akridge addressed the issue of Strategic Intention Recognition, but fell short in the detection of tactics that it could not detect without somehow manipulating the environment. Therefore, the aim of this thesis is to address the problem of recognizing an opponent's intent in a strategic environment where the system can think ahead in time to see the agent's plan. To approach the problem, a structured form of knowledge called Template-Based Interpretation is borrowed from the work of others and enhanced to reason in a temporally dynamic simulation.
Show less - Date Issued
- 2007
- Identifier
- CFE0001517, ucf:47146
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001517
- Title
- USING STUDENT MOOD AND TASK PERFORMANCE TO TRAIN CLASSIFIER ALGORITHMS TO SELECT EFFECTIVE COACHING STRATEGIES WITHIN INTELLIGENT TUTORING SYSTEMS (ITS).
- Creator
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Sottilare, Robert, Proctor, Michael, University of Central Florida
- Abstract / Description
-
The ultimate goal of this research was to improve student performance by adjusting an Intelligent Tutoring System's (ITS) coaching strategy based on the student's mood. As a step toward this goal, this study evaluated the relationships between each student's mood variables (pleasure, arousal, dominance and mood intensity), the coaching strategy selected by the ITS and the student's performance. Outcomes included methods to increase the perception of the intelligent tutor to...
Show moreThe ultimate goal of this research was to improve student performance by adjusting an Intelligent Tutoring System's (ITS) coaching strategy based on the student's mood. As a step toward this goal, this study evaluated the relationships between each student's mood variables (pleasure, arousal, dominance and mood intensity), the coaching strategy selected by the ITS and the student's performance. Outcomes included methods to increase the perception of the intelligent tutor to allow it to adapt coaching strategies (methods of instruction) to the student's affective needs to mitigate barriers to performance (e.g. negative affect) during the one-to-one tutoring process. The study evaluated whether the affective state (specifically mood) of the student moderated the student's interaction with the tutor and influenced performance. This research examined the relationships, interactions and influences of student mood in the selection of ITS coaching strategies to determine which strategies were more effective in terms of student performance given the student's mood, state (recent sleep time, previous knowledge and training, and interest level) and actions (e.g. mouse movement rate). Two coaching strategies were used in this study: Student-Requested Feedback (SRF) and Tutor-Initiated Feedback (TIF). The SRF coaching strategy provided feedback in the form of hints, questions, direction and support only when the student requested help. The TIF coaching strategy provided feedback (hints, questions, direction or support) at key junctures in the learning process when the student either made progress or failed to make progress in a timely fashion. The relationships between the coaching strategies, mood, performance and other variables of interest were considered in light of five hypotheses. At alpha = .05 and beta at least as great as .80, significant effects were limited in predicting performance. Highlighted findings include no significant differences in the mean performance due to coaching strategies, and only small effect sizes in predicting performance making the regression models developed not of practical significance. However, several variables including performance, energy level and mouse movement rates were significant, unobtrusive predictors of mood. Regression algorithms were developed using Arbuckle's (2008) Analysis of MOment Structures (AMOS) tool to compare the predicted performance for each strategy and then to choose the optimal strategy. A set of production rules were also developed to train a machine learning classifier using Witten & Frank's (2005) Waikato Environment for Knowledge Analysis (WEKA) toolset. The classifier was tested to determine its ability to recognize critical relationships and adjust coaching strategies to improve performance. This study found that the ability of the intelligent tutor to recognize key affective relationships contributes to improved performance. Study assumptions include a normal distribution of student mood variables, student state variables and student action variables and the equal mean performance of the two coaching strategy groups (student-requested feedback and tutor-initiated feedback ). These assumptions were substantiated in the study. Potential applications of this research are broad since its approach is application independent and could be used within ill-defined or very complex domains where judgment might be influenced by affect (e.g. study of the law, decisions involving risk of injury or death, negotiations or investment decisions). Recommendations for future research include evaluation of the temporal, as well as numerical, relationships of student mood, performance, actions and state variables.
Show less - Date Issued
- 2009
- Identifier
- CFE0002528, ucf:47644
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0002528
- Title
- EXPLANATIONS IN CONTEXTUAL GRAPHS:A SOLUTION TO ACCOUNTABILITY INKNOWLEDGE BASED SYSTEMS.
- Creator
-
Sherwell, Brian, Gonzalez, Avelino, University of Central Florida
- Abstract / Description
-
In order for intelligent systems to be a viable and utilized tool, a user must be able to understand how the system comes to a decision. Without understanding how the system arrived at an answer, a user will be less likely to trust its decision. One way to increase a user's understanding of how the system functions is by employing explanations to account for the output produced. There have been attempts to explain intelligent systems over the past three decades. However, each attempt has had...
Show moreIn order for intelligent systems to be a viable and utilized tool, a user must be able to understand how the system comes to a decision. Without understanding how the system arrived at an answer, a user will be less likely to trust its decision. One way to increase a user's understanding of how the system functions is by employing explanations to account for the output produced. There have been attempts to explain intelligent systems over the past three decades. However, each attempt has had shortcomings that separated the logic used to produce the output and that used to produce the explanation. By using the representational paradigm of Contextual Graphs, it is proposed that explanations can be produced to overcome these shortcomings. Two different temporal forms of explanations are proposed, a pre-explanation and a post-explanation. The pre-explanation is intended to help the user understand the decision making process. The post-explanation is intended to help the user understand how the system arrived at a final decision. Both explanations are intended to help the user gain a greater understanding of the logic used to compute the system's output, and thereby enhance the system's credibility and utility. A prototype system is constructed to be used as a decision support tool in a National Science Foundation research program. The researcher has spent the last year at the NSF collecting the knowledge implemented in the prototype system.
Show less - Date Issued
- 2005
- Identifier
- CFE0000713, ucf:46601
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000713
- Title
- STUDY ON TECHNOLOGY AND LEARNING.
- Creator
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Bramwell, Jeremy, McConnell, Daniel S., University of Central Florida
- Abstract / Description
-
The purpose of this research thesis is to investigate technologies effects on learning. Specifically the researchers studied the usability of intelligent personal assistant-enabled devices for learning assistance. It is assumed that using technology in educational context helps both students and educators because there is a positive effect on engagement which increases learning curves. Although, this is not always the case. The present study yielded results that were not consistent with the...
Show moreThe purpose of this research thesis is to investigate technologies effects on learning. Specifically the researchers studied the usability of intelligent personal assistant-enabled devices for learning assistance. It is assumed that using technology in educational context helps both students and educators because there is a positive effect on engagement which increases learning curves. Although, this is not always the case. The present study yielded results that were not consistent with the assumption that using any type of technology as an aid for learning has a positive effect. Further research will seek to investigate other intelligent personal assistant devices for classroom use.
Show less - Date Issued
- 2019
- Identifier
- CFH2000526, ucf:45642
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFH2000526
- Title
- ROBUST DIALOG MANAGEMENT THROUGH A CONTEXT-CENTRIC ARCHITECTURE.
- Creator
-
Hung, Victor, Gonzalez, Avelino, University of Central Florida
- Abstract / Description
-
This dissertation presents and evaluates a method of managing spoken dialog interactions with a robust attention to fulfilling the human user's goals in the presence of speech recognition limitations. Assistive speech-based embodied conversation agents are computer-based entities that interact with humans to help accomplish a certain task or communicate information via spoken input and output. A challenging aspect of this task involves open dialog, where the user is free to converse in an...
Show moreThis dissertation presents and evaluates a method of managing spoken dialog interactions with a robust attention to fulfilling the human user's goals in the presence of speech recognition limitations. Assistive speech-based embodied conversation agents are computer-based entities that interact with humans to help accomplish a certain task or communicate information via spoken input and output. A challenging aspect of this task involves open dialog, where the user is free to converse in an unstructured manner. With this style of input, the machine's ability to communicate may be hindered by poor reception of utterances, caused by a user's inadequate command of a language and/or faults in the speech recognition facilities. Since a speech-based input is emphasized, this endeavor involves the fundamental issues associated with natural language processing, automatic speech recognition and dialog system design. Driven by Context-Based Reasoning, the presented dialog manager features a discourse model that implements mixed-initiative conversation with a focus on the user's assistive needs. The discourse behavior must maintain a sense of generality, where the assistive nature of the system remains constant regardless of its knowledge corpus. The dialog manager was encapsulated into a speech-based embodied conversation agent platform for prototyping and testing purposes. A battery of user trials was performed on this agent to evaluate its performance as a robust, domain-independent, speech-based interaction entity capable of satisfying the needs of its users.
Show less - Date Issued
- 2010
- Identifier
- CFE0003230, ucf:48556
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0003230