The purpose of the study is to investigate how older adults adjust to getting older and the losses that come with aging. This study examines how E.T. Higgins's theory of self-discrepancy mediates the relationship between role loss and subjective well-being. Subjective well-being (SWB) is defined as overall life satisfaction, the presence of positive affect and the absence of negative affect. This hypothesis, grounded in both self-discrepancy and life span developmental theory, is that the level of discrepancy between the actual and ideal self mediates the relationship between role losses and mental health. This study examined three models with each investigating how self-discrepancy mediates the relationship between role loss and a different outcome variable for each model: positive affect, negative affect, and satisfaction with life. The sample consisted of adults over the age of 60 living in both community and institutional settings. Several path analyses models were run to examine the tenability of the hypotheses within the three models. This study did not support any of its hypotheses of the indirect and direct effects mediation models with the outcome variables of positive affect, negative affect and satisfaction with life scale. However, it did show support for the self-discrepancy theory. Consistent with the theory, this study showed that those reporting more self-discrepancy reported less satisfaction with life, less positive affect, and more negative affect. This study also showed levels of SWB in non-clinical samples of older adults. This study supported the idea that more self-discrepancy is related to lower levels of SWB. This is important in a clinical setting to know for treatment of older adults suggesting that clinicians help their clients work towards less self-discrepancy and in turn, greater SWB.

How information technology (IT) influence peoples' everyday lives is becoming one of the most important research issues in IS field. In this study a theoretical model based on the self-disclosure theory and the social capital theory has been constructed to research how the bloggers' self-disclosure behaviors in the blogosphere may influence their subjective well-being (SWB). The results suggest that the trust in audiences, self-efficacy for self-disclosure, and stress were the key factors influencing the bloggers' self-disclosure behaviors. In addition, writing blogs provides a channel for users to release their inhibition, enhance their experiences of positive affect, increase their social support and social integration, and extend their social network, all of which in turn enhance the bloggers' perception of subjective well-being. These results provide significant theoretical and practical implications to researchers, enterprises, blog platform designers, and IT policy makers in understanding the roles of blogs in peoples' everyday lives.

This research investigated the decision process surrounding the self-regulated learning of new uses of existing technology. With firms investing up to 50% of their capital budgets on information technology (in excess of 1 trillion dollars in aggregate), understanding what factors motivate or inhibit more encompassing use of technology is of practical concern (Bowen 1986; Nambisan et al. 1999; Mahmood et a. 2001). I introduced a dynamic element to the technology adoption/acceptance literature by using a framework based upon deferral option theory. This framework allows for the decision to learn a new use of technology to occur over time. I found that potential users chose to defer learning new uses of technology even when usefulness was evident and ease of learning was not prohibitive. Further, an additional benefit to using the deferral option framework was its inclusion of both rewards and penalties; I found that not only do potential users consider what can be gained by learning, but also what can be lost by trying to learn and failing. In addition to using a framework premised on deferral option theory, I investigated the properties of time pressure and subjective norms on the decision to learn new uses of technology. As time pressure offered a possible alternate explanation for why potential users defer learning, I controlled for it experimentally and determined that time pressure did affect deferral choice. Further, as subjective norms have had limited success as a predictor of intent to use technology in prior literature, I investigated the separate pieces of the theoretical construct, referent group perceptions and the motivation to comply with those perceptions. By manipulating environment between work and play settings, different motivational sources were enacted by the potential users. Specifically, I found that when potential users were externally motivated subjective norms did influence deferral, and when internally motivated, subjective norms did not influence a potential user??s decision to defer learning a new use of technology.

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<p>Information fusion is to combine information from a variety of sources, or sensors. When the sources are uncertain or contradicting conflict can arise. To deal with such uncertainty and conflict a trust model can be used. The most common ones in information fusion currently is bayesian theory and Dempster-Shafer theory. Bayesian theory does not explicitly handle ignorance, and thus predetermined values has to be hard coded into the system. This is solved in Dempster-Shafer theory by the introduction of ignorance. Even though Dempster-Shafer theory is widely used in information fusion when there is a need for ignorance to be modelled, there has been serious critique presented towards the theory. Thus this work aims at examining another trust models utility in information fusion namely subjective logic. The examination is executed by studying subjective logic using two scenarios from the literature. The results from the scenarios points to subjective logic being a reasonable approach for modelling trust in information fusion.</p>

To date there are no studies focusing on the relationship between subjective social status (SSS) and weight perceptions among young people. This study aims to fill this gap in current available literature by examining associations between youth’s family SSS and individual SSS with their gender, race, body mass index (BMI), and weight perceptions. Questionnaires and BMI data were collected from 1,171 youth participating in the 2008 Global Finals of Destination ImagiNation (DI) hosted by the University of Tennessee. Participants ranged in ages 11 to 18 years. Regression analyses indicated that gender, race and individual SSS were significant predictors of BMI. Gender was the only significant predictor of underweight perceptions, while gender, race, and individual SSS were predictors of overweight perceptions. Results for outcomes based on two grade levels, middle school and high school, are also discussed. Findings have implications of gender and racial differences for BMI and weight perception status. Lastly, individual SSS within the school community was a significant predictor of both BMI and overweight perception.

Obsessive Compulsive Disorder (OCD) is a commonly diagnosed mental health condition among children and adolescents, with studies suggesting that OCD has the potential for significant disruption of academic and social performance. Subjective well-being (SWB) represents a non-traditional conceptualization of mental health within the dual factor model, wherein SWB and measures of psychopathology (e.g., problematic levels of internalizing and externalizing behaviors) provide a more comprehensive picture of mental wellness. The current study examined the nature of the relationship between clinical characteristics of pediatric OCD and SWB within school-age youth (N=65) seeking treatment from an outpatient pediatric neuropsychiatric clinic. Additionally, the potential for moderation of this relationship by various symptom-related and demographic variables was examined, as was the potential for SWB to moderate the relationship between clinical characteristics of pediatric OCD and associated impairments in academic and general functioning. Results indicated that a majority of the sample (n=58; 89.2%) met or exceeded the clinically significant threshold for OCD symptoms, while roughly half of the sample (n=33; 50.8%) endorsed significant levels of academic impairment associated with symptom onset. Subjective well being varied among participants, with levels of SWB showing a statistically significant negative relationship with obsessive thoughts, but little to no relationship with compulsive behaviors. Finally, results of multiple regression analyses failed to identify variables that effectively moderated the relationship between clinical characteristics of pediatric OCD and SWB. Similarly, SWB was not indicated as a moderator of the relationship between clinical characteristics of pediatric OCD and academic functioning. Implications of the findings and directions for future research are discussed.

The goal of this dissertation is to contribute to the new field of happiness economics which over the past several decades has substantially enhanced our understanding of cognitive judgment, human behavior, and the nature of happiness. Chapter 1 starts with a discussion of the subjective approach to measuring well-being and lays the foundation for the empirical work that follows in chapters 2 and 3. This approach has a strong appeal because ancient and modern cultures, and a long tradition in philosophy, view achieving happiness as the ultimate goal of human existence. It also recognizes that humans are the best judges of their own condition. In this first chapter, I discuss some common ambiguities related to the term happiness and outline some of the most common ways in which subjective well-being (SWB)data is measured. Next, I discuss how reliable subjective well-being data is and what are some of its strengths and weaknesses in the context of economic research. Some major insights from the growing literature on happiness economics are also provided and alternative approaches to measuring quality of life (and well-being) are suggested in the last section. One puzzle in the happiness economics literature has been that although real incomes have substantially improved over the past 40 years, happiness levels in the United States have stagnated. In chapter 2, I show that the rising level of income inequality in the United States since the 1970s can explain the stagnating happiness levels of Americans. First, using subjective well-being data from the General Social Survey, I estimate the concavity of the utility function within a neo-utilitarian framework of welfare analysis and calculate the Atkinson index of inequality. Although the estimates suggests that Americans have become increasingly more inequality-averse over time, the results suggest that the concavity of the utility function alone cannot explain the happiness patterns observed in the past several decades. Once I account for the negative external cost from economic inequality, however, the empirical analysis implies that economic growth has not been sufficient to compensate for the loss of subjective well-being associated with the rising level of inequality. This is consistent with the findings of several different surveys on subjective well-being. Finally, I evaluate the equality-efficiency trade-off in the US, and discover a small and positive trade-off. Chapter 3 considers another important policy topic in recent years -- the increasing cost of college tuition and the scrutinized value of higher education. Using subjective well-being data, I show that higher education has a large non-monetary (happiness) return that goes beyond the benefit of finding a better paid and more satisfying job. A person with a high school degree, for instance, would have to earn \$41,683 more per year to be equally as happy as somebody with a college degree that has a similar socio-economic background. This large non-monetary return is associated with better marriage, health, and parenting choices, and stronger social networks that translate into higher levels of interpersonal trust. The lion's share of this non-monetary return is earned in college while the majority of the returns from graduate school are associated with higher salary. This return varies among the different subgroups of the population. Women, for example, benefit twice as much from a college education as men, and this non-monetary return has slightly increased over time. This may explain, at least partially, the increase in demand for college education over the past 30 years, and the unprecedented rise in the price of college tuition. It is hypothesized that one way in which education works is to change the attitudes, values, and behavior of students. Higher education, for example, makes students more open-minded, tolerant, and risk-averse. Evidence in support of this hypothesis is found by estimating the coefficient of risk (and inequality) aversion. Finally, using subjective well-being data from the European Value Study, the average non-monetary return from higher education is also calculated for Europeans and compared to that in the United States. Although higher education is also found to have a positive effect on happiness in Europe, the non-monetary returns are much larger in the United States. Furthermore, contrary to the United States, the direct effect of education on happiness in Europe is substantial, while the indirect effect is negligible.

Wellbeing may be the most important feeling able to experience by a person. The research concerning wellbeing has traditionally been focused on psychological wellbeing, yet how wellbeing of populations can be estimated and compared remains unclear. This study proposes a method of measuring wellbeing by keeping to the essence of it as being a subjective feeling. It adopts the rather common term of subjective wellbeing (SWB) and identifies two important aspects of SWB; happiness and life satisfaction. These aspects of life are part of the questionnaires used in many multinational survey studies, including the World Value Survey (WVS). With data from these surveys, SWB can be compared between populations based on subjective survey answers from individuals. The paper tests this approach by using results of the WVS and performing a statistical analysis comparing SWB between cultures. Evaluation of the results leads to the conclusion that, by means of happiness and life satisfaction, a not complete, but at least reasonable operational measurement of SWB is obtained.

Progress in multimedia technologies has resulted in a plethora of services and devices that capture, compress, transmit and display audiovisual stimuli. Humans -- the ultimate receivers of such stimuli -- now have access to visual entertainment at their homes, their workplaces as well as on mobile devices. With increasing visual signals being received by human observers, in the face of degradations that occur to due the capture, compression and transmission processes, an important aspect of the quality of experience of such stimuli is the \emph{perceived visual quality}. This dissertation focuses on algorithm development for assessing such visual quality of natural images, without need for the `pristine' reference image, i.e., we develop computational models for no-reference image quality assessment (NR IQA). Our NR IQA model stems from the theory that natural images have certain statistical properties that are violated in the presence of degradations, and quantifying such deviations from \emph{naturalness} leads to a blind estimate of quality. The proposed modular and easily extensible framework is distortion-agnostic, in that it does not need to have knowledge of the distortion afflicting the image (contrary to most present-day NR IQA algorithms) and is not only capable of quality assessment with high correlation with human perception, but also is capable of identifying the distortion afflicting the image. This additional distortion-identification, coupled with blind quality assessment leads to a framework that allows for blind general-purpose image repair, which is the second major contribution of this dissertation. The blind general-purpose image repair framework, and its exemplar algorithm described here stem from a revolutionary perspective on image repair, where the framework does not simply attempt to ameliorate the distortion in the image, but to ameliorate the distortion, so that visual quality at the output is maximized. Lastly, this dissertation describes a large-scale human subjective study that was conducted at UT to assess human behavior and opinion on visual quality of videos when viewed on mobile devices. The study lead to a database of 200 distorted videos, which incorporates previously studied distortions such as compression and wireless packet-loss, and also dynamically varying distortions that change as a function of time, such as frame-freezes and temporally varying compression rates. This study -- the first of its kind -- involved over 50 human subjects and resulted in 5,300 summary subjective scores and time-sampled subjective traces of quality for multiple displays. The last part of this dissertation analyzes human behavior and opinion on time-varying video quality, opening up an extremely interesting and relevant field for future research in the area of quality assessment and human behavior. / text