Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
Displaying 1 - 10 of 151
Description
The increasing popularity of Twitter renders improved trustworthiness and relevance assessment of tweets much more important for search. However, given the limitations on the size of tweets, it is hard to extract measures for ranking from the tweet's content alone. I propose a method of ranking tweets by generating a reputation score for each tweet that is based not just on content, but also additional information from the Twitter ecosystem that consists of users, tweets, and the web pages that tweets link to. This information is obtained by modeling the Twitter ecosystem as a three-layer graph. The reputation score is used to power two novel methods of ranking tweets by propagating the reputation over an agreement graph based on tweets' content similarity. Additionally, I show how the agreement graph helps counter tweet spam. An evaluation of my method on 16~million tweets from the TREC 2011 Microblog Dataset shows that it doubles the precision over baseline Twitter Search and achieves higher precision than current state of the art method. I present a detailed internal empirical evaluation of RAProp in comparison to several alternative approaches proposed by me, as well as external evaluation in comparison to the current state of the art method.
ContributorsRavikumar, Srijith (Author) / Kambhampati, Subbarao (Thesis advisor) / Davulcu, Hasan (Committee member) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2013
Description
Automating aspects of biocuration through biomedical information extraction could significantly impact biomedical research by enabling greater biocuration throughput and improving the feasibility of a wider scope. An important step in biomedical information extraction systems is named entity recognition (NER), where mentions of entities such as proteins and diseases are located within natural-language text and their semantic type is determined. This step is critical for later tasks in an information extraction pipeline, including normalization and relationship extraction. BANNER is a benchmark biomedical NER system using linear-chain conditional random fields and the rich feature set approach. A case study with BANNER locating genes and proteins in biomedical literature is described. The first corpus for disease NER adequate for use as training data is introduced, and employed in a case study of disease NER. The first corpus locating adverse drug reactions (ADRs) in user posts to a health-related social website is also described, and a system to locate and identify ADRs in social media text is created and evaluated. The rich feature set approach to creating NER feature sets is argued to be subject to diminishing returns, implying that additional improvements may require more sophisticated methods for creating the feature set. This motivates the first application of multivariate feature selection with filters and false discovery rate analysis to biomedical NER, resulting in a feature set at least 3 orders of magnitude smaller than the set created by the rich feature set approach. Finally, two novel approaches to NER by modeling the semantics of token sequences are introduced. The first method focuses on the sequence content by using language models to determine whether a sequence resembles entries in a lexicon of entity names or text from an unlabeled corpus more closely. The second method models the distributional semantics of token sequences, determining the similarity between a potential mention and the token sequences from the training data by analyzing the contexts where each sequence appears in a large unlabeled corpus. The second method is shown to improve the performance of BANNER on multiple data sets.
ContributorsLeaman, James Robert (Author) / Gonzalez, Graciela (Thesis advisor) / Baral, Chitta (Thesis advisor) / Cohen, Kevin B (Committee member) / Liu, Huan (Committee member) / Ye, Jieping (Committee member) / Arizona State University (Publisher)
Created2013
Description
This dissertation explores the role of smart home service provisions (SHSP) as motivational agents supporting goal attainment and human flourishing. Evoking human flourishing as a lens for interaction encapsulates issues of wellbeing, adaptation and problem solving within the context of social interaction. To investigate this line of research a new, motivation-sensitive approach to design was implemented. This approach combined psychometric analysis from motivational psychology's Personal Project Analysis (PPA) and Place Attachment theory's Sense of Place (SoP) analysis to produce project-centered motivational models for environmental congruence. Regression analysis of surveys collected from 150 (n = 150) young adults about their homes revealed PPA motivational dimensions had significant main affects on all three SoP factors. Model one indicated PPA dimensions Fearful and Value Congruency predicted the SoP factor Place Attachment (p = 0.012). Model two indicated the PPA factor Positive Affect and PPA dimensions Value Congruency, Self Identity and Autonomy predicted Place Identity (p = .0003). Model three indicated PPA dimensions Difficulty and Likelihood of Success predicted the SoP factor Place Dependency. The relationships between motivational PPA dimensions and SoP demonstrated in these models informed creation of a set of motivational design heuristics. These heuristics guided 20 participants (n = 20) through co-design of paper prototypes of SHSPs supporting goal attainment and human flourishing. Normative analysis of these paper prototypes fashioned a design framework consisting of the use cases "make with me", "keep me on task" and "improve myself"; the four design principles "time and timing", "guidance and accountability", "project ambiguity" and "positivity mechanisms"; and the seven interaction models "structuring time", "prompt user", "gather resources", "consume content", "create content", "restrict and/or restore access to content" and "share content". This design framework described and evaluated three technology probes installed in the homes of three participants (n = 3) for field-testing over the course of one week. A priori and post priori samples of psychometric measures were inconclusive in determining if SHSP motivated goal attainment or increased environmental congruency between young adults and their homes.
ContributorsBrotman, Ryan Scott (Author) / Burleson, Winsow (Thesis advisor) / Heywood, William (Committee member) / Forlizzi, Jodi (Committee member) / Arizona State University (Publisher)
Created2013
Description
There is a lack of music therapy services for college students who have problems with depression and/or anxiety. Even among universities and colleges that offer music therapy degrees, there are no known programs offering music therapy to the institution's students. Female college students are particularly vulnerable to depression and anxiety symptoms compared to their male counterparts. Many students who experience mental health problems do not receive treatment, because of lack of knowledge, lack of services, or refusal of treatment. Music therapy is proposed as a reliable and valid complement or even an alternative to traditional counseling and pharmacotherapy because of the appeal of music to young women and the potential for a music therapy group to help isolated students form supportive networks. The present study recruited 14 female university students to participate in a randomized controlled trial of short-term group music therapy to address symptoms of depression and anxiety. The students were randomly divided into either the treatment group or the control group. Over 4 weeks, each group completed surveys related to depression and anxiety. Results indicate that the treatment group's depression and anxiety scores gradually decreased over the span of the treatment protocol. The control group showed either maintenance or slight worsening of depression and anxiety scores. Although none of the results were statistically significant, the general trend indicates that group music therapy was beneficial for the students. A qualitative analysis was also conducted for the treatment group. Common themes were financial concerns, relationship problems, loneliness, and time management/academic stress. All participants indicated that they benefited from the sessions. The group progressed in its cohesion and the participants bonded to the extent that they formed a supportive network which lasted beyond the end of the protocol. The results of this study are by no means conclusive, but do indicate that colleges with music therapy degree programs should consider adding music therapy services for their general student bodies.
ContributorsAshton, Barbara (Author) / Crowe, Barbara J. (Thesis advisor) / Rio, Robin (Committee member) / Davis, Mary (Committee member) / Arizona State University (Publisher)
Created2013
Description
Research has shown that the ability to smell is the most direct sense an individual can experience. With every breath a person takes, the brain recognizes thousands of molecules and makes connections with our memories to determine their composition. With the amount of research looking into how and why we smell, researchers still have little understanding of how the nose and brain process an aroma, and how emotional and physical behavior is impacted. This research focused on the affects smell has on a caregiver in a simulated Emergency Department setting located in the SimET of Banner Good Samaritan Medical Center in Phoenix, Arizona. The study asked each participant to care for a programmed mannequin, or "patient", while performing simple computer-based tasks, including memory and recall, multi-tasking, and mood-mapping to gauge physical and mental performance. Three different aromatic environments were then introduced through diffusion and indirect inhalation near the participants' task space: 1) a control (no smell), 2) an odor (simulated dirty feet), and 3) an aroma (one of four true essential oils plus a current odor-eliminating compound used in many U.S. Emergency Departments). This study was meant to produce a stressful environment by leading the caregiver to stay in constant movement throughout the study through timed tasks, uncooperative equipment, and a needy "patient". The goal of this research was to determine if smells, and of what form of pleasantness and repulsiveness, can have an effect on the physical and mental performance of emergency caregivers. Findings from this study indicated that the "odor eliminating" method currently used in typical Emergency Departments, coffee grounds, is more problematic than helpful, and the introduction of true essential oils may not only reduce stress, but increase efficiency and, in turn, job satisfaction.
ContributorsClark, Carina M (Author) / Bernardi, Jose (Thesis advisor) / Heywood, William (Committee member) / Watts, Richard (Committee member) / Rosso, Rachel (Committee member) / Arizona State University (Publisher)
Created2013
Description
A growing body of research shows that characteristics of the built environment in healthcare facilities impact patients' well-being. Research findings suggest that patients form judgments of perceived quality care based on environmental characteristics. Patient outcomes and ratings of quality of care are linked to the environments' ability to reduce patient stress as well as influence perceptions of quality of care. Historically, this research has been focused in the hospital environment. The United States healthcare system heavily relies on hospitals to treat (rather than prevent) illness, leading to a high per capita healthcare expenditure. Currently, this healthcare system is shifting to rely heavily on ambulatory care settings and primary care providers to detect, prevent, and manage expensive medical conditions. The highest rates of preventable disease and the lowest rates of primary care usage are found in the young adult population (ages 18 to 24). More than any other patient population, this segment rates their satisfaction with healthcare significantly low. For this population education, early detection, and monitoring will be key for a primary care focused model to have the greatest impact on care and long-term savings. Strong patient-physician connections ensure the success of a primary care focused model. The physical environment has the opportunity to provide a message consistent with a physician's practice values and goals. Environmental cues in the waiting area have the potential to relay these messages to the patient prior to physician contact. Through an understanding and optimization of these cues patient perception of quality of care may be increased, thus improving the patient-physician relationship. This study provides insight on how to optimize environmental impact on the healthcare experience. This descriptive exploratory study utilized a non-verbal self-report instrument to collect demographic information and measure participant's responses to two panoramic photos of primary care provider waiting areas. Respondents were asked to identify physical elements in the photos that contributed to their perceptions of the quality of care to be expected. The sample population consisted of 33, 18 to 24 year-olds leaving a total of 234 emotional markers and comments. Qualitative and quantitative revealed three key themes of appeal, comfort, and regard. Physical elements, in the photos, related to the themes include: General areas that were important to the respondents were the seating and reception areas, as well as the overall appearance of the waiting area. Key elements identified to be significant characteristics influencing perceptions of quality of care are presented in this study.
ContributorsBadura, Kerri (Author) / Lamb, Gerri (Thesis advisor) / Heywood, William (Committee member) / Wolf, Peter (Committee member) / Arizona State University (Publisher)
Created2012
Description
Data mining is increasing in importance in solving a variety of industry problems. Our initiative involves the estimation of resource requirements by skill set for future projects by mining and analyzing actual resource consumption data from past projects in the semiconductor industry. To achieve this goal we face difficulties like data with relevant consumption information but stored in different format and insufficient data about project attributes to interpret consumption data. Our first goal is to clean the historical data and organize it into meaningful structures for analysis. Once the preprocessing on data is completed, different data mining techniques like clustering is applied to find projects which involve resources of similar skillsets and which involve similar complexities and size. This results in "resource utilization templates" for groups of related projects from a resource consumption perspective. Then project characteristics are identified which generate this diversity in headcounts and skillsets. These characteristics are not currently contained in the data base and are elicited from the managers of historical projects. This represents an opportunity to improve the usefulness of the data collection system for the future. The ultimate goal is to match the product technical features with the resource requirement for projects in the past as a model to forecast resource requirements by skill set for future projects. The forecasting model is developed using linear regression with cross validation of the training data as the past project execution are relatively few in number. Acceptable levels of forecast accuracy are achieved relative to human experts' results and the tool is applied to forecast some future projects' resource demand.
ContributorsBhattacharya, Indrani (Author) / Sen, Arunabha (Thesis advisor) / Kempf, Karl G. (Thesis advisor) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2013
Description
Contemporary online social platforms present individuals with social signals in the form of news feed on their peers' activities. On networks such as Facebook, Quora, network operator decides how that information is shown to an individual. Then the user, with her own interests and resource constraints selectively acts on a subset of items presented to her. The network operator again, shows that activity to a selection of peers, and thus creating a behavioral loop. That mechanism of interaction and information flow raises some very interesting questions such as: can network operator design social signals to promote a particular activity like sustainability, public health care awareness, or to promote a specific product? The focus of my thesis is to answer that question. In this thesis, I develop a framework to personalize social signals for users to guide their activities on an online platform. As the result, we gradually nudge the activity distribution on the platform from the initial distribution p to the target distribution q. My work is particularly applicable to guiding collaborations, guiding collective actions, and online advertising. In particular, I first propose a probabilistic model on how users behave and how information flows on the platform. The main part of this thesis after that discusses the Influence Individuals through Social Signals (IISS) framework. IISS consists of four main components: (1) Learner: it learns users' interests and characteristics from their historical activities using Bayesian model, (2) Calculator: it uses gradient descent method to compute the intermediate activity distributions, (3) Selector: it selects users who can be influenced to adopt or drop specific activities, (4) Designer: it personalizes social signals for each user. I evaluate the performance of IISS framework by simulation on several network topologies such as preferential attachment, small world, and random. I show that the framework gradually nudges users' activities to approach the target distribution. I use both simulation and mathematical method to analyse convergence properties such as how fast and how close we can approach the target distribution. When the number of activities is 3, I show that for about 45% of target distributions, we can achieve KL-divergence as low as 0.05. But for some other distributions KL-divergence can be as large as 0.5.
ContributorsLe, Tien D (Author) / Sundaram, Hari (Thesis advisor) / Davulcu, Hasan (Thesis advisor) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2014
Description
Generally speaking, many programs of interior design have had a gender imbalance in the student population. As a case in point, the interior design program at Arizona State University (ASU) is at present ninety percent female. While other design programs such as architecture or industrial design have achieved gender balance, interior design has not. This research explores the reasons why male students are not enrolling in the interior design program at ASU and to what degree gender influences the selection of a major. The objectives of this research are to determine: 1) what role gender plays in the selection of interior design as a choice of a major at ASU; 2) why might male students be hesitant to join the interior design program; 3) why female students are attracted to interior design; 4) if there are gender differences in design approach; and 5) if curricular differences between interior architecture and interior design impact the gender imbalance. A mixed method approach is used in order to answer the research questions including: a literature review, a visual ethnography, and interviews of interior design students and faculty members at ASU. The results reveal that gender might have an effect on students' decision to join the interior design program. For a male student, people questioned his sexuality because they assumed he would have to be of a certain sexual orientation to study interior design. According to a male faculty member upon visiting a middle school on career day, young boys would be interested in the projects displayed at the interior design booth until they figured out what it was. Even at a young age, the boys seemed to know that interior design was a female's domain. A participant stated that women seemed to be less critical of the men's projects and were more critical of each other. A male respondent stated that on the occasion there were no men in the class the studio culture changed. Another stated that interior design students did not take feedback as well as others and need to be affirmed more often. Gender socialization, the history of interior design as a feminine career, and the title "interior design" itself are all possible factors that could deter male students from joining the program. The insights acquired from this research will provide students and faculty members from The Design School and beyond a better understanding of gender socialization and what the interior design program has to offer.
ContributorsRuff, Charlene (Author) / Giard, Jacques (Thesis advisor) / Heywood, William (Committee member) / Margolis, Eric (Committee member) / Arizona State University (Publisher)
Created2014
Description
The study of lighting design has important implications for consumer behavior and is an important aspect of consideration for the retail industry. In today's global economy consumers can come from a number of cultural backgrounds. It is important to understand various cultures' perceptions of lighting design in order for retailers to better understand how to use lighting as a benefit to provide consumers with a desirable shopping experience. This thesis provides insight into the effects of ambient lighting on product perception among Americans and Middle Easterners. Both cultural groups' possess significant purchasing power in the worldwide market place. This research will allow marketers, designers and consumers a better understanding of how culture may play a role in consumer perceptions and behavior Results of this study are based on data gathered from 164 surveys from individuals of American and Middle Eastern heritage. Follow up interviews were also conducted to examine the nuances of product perception and potential differences across cultures. This study, using qualitative and quantitative methods, was executed using a Sequential Explanatory Strategy. Survey data were analyzed to uncover significant correlations and relationships using measures of descriptive analysis, analysis of variance (ANOVA), and regression analysis. Interviews were analyzed using theme-based coding and reported in narrative form. The results suggest that lighting does in fact have an impact on product perception, however despite minor differences, this perception does not vary much between individuals from American and Middle Eastern cultures. It was found that lighting could affect price and quality perception with reference to store-image and store atmospherics. Additionally, lighting has a higher impact on subjective impressions of product (such as Freshness, Pleasantness, and Attractiveness), more than Price and Quality perceptions. This study suggests that particular lighting characteristics could be responsible for differences in product perception between these two cultures. This is important to note for lighting designers and marketers to create retail atmospheres that are preferable to both cultures.
ContributorsAlsharhan, Dalal Anwar (Author) / Kroelinger, Michael D. (Thesis advisor) / Eaton, John (Committee member) / Heywood, William (Committee member) / Arizona State University (Publisher)
Created2013