Current Search: emotion modeling (x)
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- Title
- IMPLEMENTING LEXICAL AND CREATIVE INTENTIONALITY IN SYNTHETIC PERSONALITY.
- Creator
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Vick, Erik, Cannon-Bowers, Jan, University of Central Florida
- Abstract / Description
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Creating engaging, interactive, and immersive synthetic characters is a difficult task and evaluating the success of a synthetic character is often even more difficult. The later problem is solved by extending Turing's Imitation Game thusly: computational construct should be evaluated based on the criteria of how well the character can mimic a human. In order to accomplish a successful evaluation of the proposed metric, synthetic characters must be consistently believable and capable of role...
Show moreCreating engaging, interactive, and immersive synthetic characters is a difficult task and evaluating the success of a synthetic character is often even more difficult. The later problem is solved by extending Turing's Imitation Game thusly: computational construct should be evaluated based on the criteria of how well the character can mimic a human. In order to accomplish a successful evaluation of the proposed metric, synthetic characters must be consistently believable and capable of role-appropriate emotional expression. The author believes traditional synthetic characters must be improved to meet this goal. For a synthetic character to be believable, human users must be able to perceive a link between the mental state of the character and its behaviors. That is to say, synthetic characters must possess intentionality. In addition to intentionality, the mental state of the character must be human-like in order to provide an adequate frame of reference for the human users' internal simulations, to wit, the character's mental state must be comprised of a synthetic model of personality, of personality dynamics, and of cognition, each of which must be psychologically valid and of sufficient fidelity for the type of character represented. The author proposes that synthetic characters possessing these three models are more accurately described as synthetic personalities. The author proposes and implements computational models of personality, personality dynamics, and cognition in order to evaluate the psychological veracity of these models and computational equivalence between the models and the implementation as a first step in the process of creating believable synthetic personalities.
Show less - Date Issued
- 2005
- Identifier
- CFE0000422, ucf:46397
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000422
- Title
- LISTENING TO STUDENT VOICES: WEB-BASED MENTORING FOR BLACK MALE STUDENTS WITH EMOTIONAL DISORDERS.
- Creator
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Grant, David, Dieker, Lisa, University of Central Florida
- Abstract / Description
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The voices of Black male students labeled ED are seldom heard regarding their perspectives on education and their lives in general. By excluding their opinions, educators are missing an important aspect that could improve educational services for Black males with ED. Therefore, this study was undertaken to determine the implications of Web-based mentoring as a platform for Black male students with ED to articulate their thoughts on the factors that impact their behaviors and achievement....
Show moreThe voices of Black male students labeled ED are seldom heard regarding their perspectives on education and their lives in general. By excluding their opinions, educators are missing an important aspect that could improve educational services for Black males with ED. Therefore, this study was undertaken to determine the implications of Web-based mentoring as a platform for Black male students with ED to articulate their thoughts on the factors that impact their behaviors and achievement. Mentoring as an intervention granted Black males with ED a platform to share their thoughts. Technology was used as an educational resource to academically engage students with ED. Mentoring and technology were combined in a Web-based mentoring model designed to simulate traditional mentoring. Individual mentoring was simulated using live video conferencing. Role modeling was simulated by featuring video clips of the mentor in authentic capacities and group mentoring discussions were simulated by featuring a participant blog on the web site. To determine the implication and emergent themes of Web-based mentoring, two Black males with ED in high school participated in the study. Results of the study revealed that the participant's behavior and achievement were impacted by negative school and home environments. For Student One, negative school environments, specifically poor peer relations, resulted in aggressive behaviors that interfered with his academic progress. He stated, "I thought it would be different in high school, but it is the same as middle school. Student Two expressed disappointment with his home environment stating, "With all I got going on, it is hard to focus on school." Implications of the model on attendance, achievement, and behavior did not demonstrate an appreciable impact. However, both student participants expressed satisfaction with the model and the opportunity to share their thoughts openly.
Show less - Date Issued
- 2008
- Identifier
- CFE0002316, ucf:47828
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0002316
- Title
- Temperament, emotion regulation, and distress tolerance as related correlates of psychological symptoms.
- Creator
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Pearte, Catherine, Negy, Charles, Renk, Kimberly, Bedwell, Jeffrey, University of Central Florida
- Abstract / Description
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Researchers have postulated that those with difficult temperament are at risk for difficulties with regulating emotions, are less tolerant of distressing stimuli, have characteristic difficulty coping with distress, and are (at some periods of development) more apt to experience clinically significant psychological symptoms. This study used exploratory factor analyses and structural equation modeling to compose and test a model that explained how emotion regulation, distress tolerance, and...
Show moreResearchers have postulated that those with difficult temperament are at risk for difficulties with regulating emotions, are less tolerant of distressing stimuli, have characteristic difficulty coping with distress, and are (at some periods of development) more apt to experience clinically significant psychological symptoms. This study used exploratory factor analyses and structural equation modeling to compose and test a model that explained how emotion regulation, distress tolerance, and coping skills interact to explain how certain temperament features translate into psychological symptoms. Because those with difficult temperament were thought to be at a unique risk for psychological maladjustment, mean-based criterion were used to identify those with relatively difficult, typical, or easy temperament and then test whether the degree of between-group differences on study variables was statistically significant. Results of correlational and EFA analyses suggested that there were statistically significant differences between constructs that were correlated highly (i.e., distress tolerance, emotion regulation, and emotion dysregulation). Results of SEM analyses indicated that the relationship between difficult temperament and psychological maladjustment was explained partially by the way in which emotion regulation, emotion dysregulation, distress tolerance, and coping skills interact, with the strength of each mediating variable differing considerably. There were also differences in the power of the relationship between variables when correlational power was considered alone rather than in the context of the larger measurement and structural models. Future directions and implications are discussed.
Show less - Date Issued
- 2015
- Identifier
- CFE0005686, ucf:50120
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005686
- Title
- ADAPTIVE INTELLIGENT USER INTERFACES WITH EMOTION RECOGNITION.
- Creator
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NASOZ, FATMA, Christine Lisetti, Dr L., University of Central Florida
- Abstract / Description
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The focus of this dissertation is on creating Adaptive Intelligent User Interfaces to facilitate enhanced natural communication during the Human-Computer Interaction by recognizing users' affective states (i.e., emotions experienced by the users) and responding to those emotions by adapting to the current situation via an affective user model created for each user. Controlled experiments were designed and conducted in a laboratory environment and in a Virtual Reality environment to collect...
Show moreThe focus of this dissertation is on creating Adaptive Intelligent User Interfaces to facilitate enhanced natural communication during the Human-Computer Interaction by recognizing users' affective states (i.e., emotions experienced by the users) and responding to those emotions by adapting to the current situation via an affective user model created for each user. Controlled experiments were designed and conducted in a laboratory environment and in a Virtual Reality environment to collect physiological data signals from participants experiencing specific emotions. Algorithms (k-Nearest Neighbor [KNN], Discriminant Function Analysis [DFA], Marquardt-Backpropagation [MBP], and Resilient Backpropagation [RBP]) were implemented to analyze the collected data signals and to find unique physiological patterns of emotions. Emotion Elicitation with Movie Clips Experiment was conducted to elicit Sadness, Anger, Surprise, Fear, Frustration, and Amusement from participants. Overall, the three algorithms: KNN, DFA, and MBP, could recognize emotions with 72.3%, 75.0%, and 84.1% accuracy, respectively. Driving Simulator experiment was conducted to elicit driving-related emotions and states (panic/fear, frustration/anger, and boredom/sleepiness). The KNN, MBP and RBP Algorithms were used to classify the physiological signals by corresponding emotions. Overall, KNN could classify these three emotions with 66.3%, MBP could classify them with 76.7% and RBP could classify them with 91.9% accuracy. Adaptation of the interface was designed to provide multi-modal feedback to the users about their current affective state and to respond to users' negative emotional states in order to decrease the possible negative impacts of those emotions. Bayesian Belief Networks formalization was employed to develop the User Model to enable the intelligent system to appropriately adapt to the current context and situation by considering user-dependent factors, such as: personality traits and preferences.
Show less - Date Issued
- 2004
- Identifier
- CFE0000126, ucf:46201
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000126