2 resultados para stop and search

em DigitalCommons@The Texas Medical Center


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People often use tools to search for information. In order to improve the quality of an information search, it is important to understand how internal information, which is stored in user’s mind, and external information, represented by the interface of tools interact with each other. How information is distributed between internal and external representations significantly affects information search performance. However, few studies have examined the relationship between types of interface and types of search task in the context of information search. For a distributed information search task, how data are distributed, represented, and formatted significantly affects the user search performance in terms of response time and accuracy. Guided by UFuRT (User, Function, Representation, Task), a human-centered process, I propose a search model, task taxonomy. The model defines its relationship with other existing information models. The taxonomy clarifies the legitimate operations for each type of search task of relation data. Based on the model and taxonomy, I have also developed prototypes of interface for the search tasks of relational data. These prototypes were used for experiments. The experiments described in this study are of a within-subject design with a sample of 24 participants recruited from the graduate schools located in the Texas Medical Center. Participants performed one-dimensional nominal search tasks over nominal, ordinal, and ratio displays, and searched one-dimensional nominal, ordinal, interval, and ratio tasks over table and graph displays. Participants also performed the same task and display combination for twodimensional searches. Distributed cognition theory has been adopted as a theoretical framework for analyzing and predicting the search performance of relational data. It has been shown that the representation dimensions and data scales, as well as the search task types, are main factors in determining search efficiency and effectiveness. In particular, the more external representations used, the better search task performance, and the results suggest the ideal search performance occurs when the question type and corresponding data scale representation match. The implications of the study lie in contributing to the effective design of search interface for relational data, especially laboratory results, which are often used in healthcare activities.

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Over the past decade there has been a growing interest in the association between spirituality and health outcomes. Little is known about the role of spirituality among adult smokers who are motivated to stop smoking. The purpose of this dissertation is to examine the relations among immutable individual differences, spirituality, and self efficacy among adults motivated to stop smoking. The first paper of this dissertation systematically reviewed literature to measure the concordance between spirituality and smoking status among adults in the United States. The second paper of this dissertation explored the association between spirituality and smoking cessation. We hypothesized that higher levels of spirituality were positively associated with smoking cessation. The third paper of this dissertation examined the association between perceived self efficacy and spirituality. We hypothesized that both high levels of self efficacy and spirituality were positively associated with smoking cessation.^ A total of 152 citations were identified based on the preliminary search of databases and reference lists. After a preliminary title- and abstract-based review, 17 full text articles were retrieved for further assessment. Of these, eight met the criteria for inclusion. Results of the systematic review suggest that there is inconsistent evidence to support or refute an association between spirituality and smoking status among adults.^ Smokers (N = 200) at least 18 years of age enrolled in a minimal contact smoking cessation intervention in Houston, Texas completed questionnaires. To examine our hypotheses we conducted cross-sectional analyses of responses to questions included in selected baseline questions and the final in-person visit three weeks post-quit day. Results of the logistic regression analyses indicated that individuals with higher levels of spirituality and self efficacy were significantly more likely to abstain from smoking. The positive association is also evident when controlling for employment, income, race, education, and nicotine dependence. The interaction between self efficacy and spirituality was not statistically significant in predicting smoking abstinence.^ Recommendations for future research and implications for smoking cessation interventions are discussed. Further research in this area would benefit from using standard measures of abstinence, recruiting larger and more diverse populations, and using longitudinal study designs.^