ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
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- All Subjects: Rhetoric
Description
The connection between Hollywood costume design and the films of the 007/James Bond franchise, especially in regards to the changing perspective of the “Bond Girl”, is an intricate relationship that has previously been little researched. In the most recent Bond films, in particular, the female characters have become more powerful than the early characters and their roles within the narratives have changed with their characters taking on stronger and more integral roles. This thesis seeks to examine the films of the 007/James Bond franchise and how the rhetoric of the franchise’s costume design affects the representation of femininity and power in regards to the Bond Girls. After an overview of Bond history and costume theory, two films are analyzed as case studies: Dr. No (1962) which marks the beginning of the film franchise and Casino Royale (2006), which marks the more recent turn the films have taken. This thesis examines how the representations of Bond Girls and the use of costume design for their characters have changed over the course of the franchise from the days of Sean Connery to the recent reboot of the franchise with Daniel Craig as 007 James Bond. In addition to an examination of Bond Girl costume design, this thesis considers the role and influence of the costume designers. A designer’s vision of a character is derived from both the writing and the physical features of the actresses before them. Here this thesis considers how the rhetorical choices made by designers have contributed to an understanding of the relationship between femininity and power. Finally it shows how the costumes effect the power of the female characters and how the Bond Girls of today (Casino Royale) compare and/or contrast to Bond Girls of the past (Dr. No). This thesis combines the areas of feminist film theory and costume theory to provide an original rhetorical analysis of the Bond series in relation to costume design and examines the rhetorical statements made by the costume designers in their designs for the characters and how those statements influence the representations of the characters.
ContributorsSeverson, Andrea (Author) / Goggin, Maureen (Thesis advisor) / Ore, Ersula (Committee member) / Lamp, Kathleen (Committee member) / Arizona State University (Publisher)
Created2013
Description
Simultaneously culture heroes and stumbling buffoons, Tricksters bring cultural tools to the people and make the world more habitable. There are common themes in these figures that remain fruitful for the advancement of culture, theory, and critical praxis. This dissertation develops a method for opening a dialogue with Trickster figures. It draws from established literature to present a newly conceived and more flexible Trickster archetype. This archetype is more than a collection of traits; it builds on itself processually to form a method for analysis. The critical Trickster archetype includes the fundamental act of crossing borders; the twin ontologies of ambiguity and liminality; the particular tactics of humor, duplicity, and shape shifting; and the overarching cultural roles of culture hero and stumbling buffoon. Running parallel to each archetypal element, though, are Trickster's overarching critical spirit of Quixotic utopianism and underlying telos of manipulating human relationships. The character 'Q' from Star Trek: The Next Generation is used to demonstrate the critical Trickster archetype. To be more useful for critical cultural studies, Trickster figures must also be connected to their socio-cultural and historical contexts. Thus, this dissertation offers a second set of analytics, a dialogical method that connects Tricksters to the worlds they make more habitable. This dialogical method, developed from the work of M. M. Bakhtin and others, consists of three analytical tools: utterance, intertextuality, and chronotope. Utterance bounds the text for analysis. Intertextuality connects the utterance, the text, to its context. Chronotope suggests particular spatio-temporal relationships that help reveal the cultural significance of a dialogical performance. Performance artists Andre Stitt, Ann Liv Young, and Steven Leyba are used to demonstrate the method of Trickster dialogics. A concluding discussion of Trickster's unique chronotope reveals its contributions to conceptions of utopia and futurity. This dissertation offers theoretical advancements about the significance and tactics of subversive communication practices. It offers a new and unique method for cultural and performative analyses that can be expanded into different kinds of dialogics. Trickster dialogics can also be used generatively to direct and guide the further development of performative praxis.
ContributorsSalinas, Chema (Author) / de la Garza, Amira (Thesis advisor) / Carlson, Cheree (Committee member) / Olson, Clark (Committee member) / Ellsworth, Angela (Committee member) / Arizona State University (Publisher)
Created2013
Description
The rapid escalation of technology and the widespread emergence of modern technological equipments have resulted in the generation of humongous amounts of digital data (in the form of images, videos and text). This has expanded the possibility of solving real world problems using computational learning frameworks. However, while gathering a large amount of data is cheap and easy, annotating them with class labels is an expensive process in terms of time, labor and human expertise. This has paved the way for research in the field of active learning. Such algorithms automatically select the salient and exemplar instances from large quantities of unlabeled data and are effective in reducing human labeling effort in inducing classification models. To utilize the possible presence of multiple labeling agents, there have been attempts towards a batch mode form of active learning, where a batch of data instances is selected simultaneously for manual annotation. This dissertation is aimed at the development of novel batch mode active learning algorithms to reduce manual effort in training classification models in real world multimedia pattern recognition applications. Four major contributions are proposed in this work: $(i)$ a framework for dynamic batch mode active learning, where the batch size and the specific data instances to be queried are selected adaptively through a single formulation, based on the complexity of the data stream in question, $(ii)$ a batch mode active learning strategy for fuzzy label classification problems, where there is an inherent imprecision and vagueness in the class label definitions, $(iii)$ batch mode active learning algorithms based on convex relaxations of an NP-hard integer quadratic programming (IQP) problem, with guaranteed bounds on the solution quality and $(iv)$ an active matrix completion algorithm and its application to solve several variants of the active learning problem (transductive active learning, multi-label active learning, active feature acquisition and active learning for regression). These contributions are validated on the face recognition and facial expression recognition problems (which are commonly encountered in real world applications like robotics, security and assistive technology for the blind and the visually impaired) and also on collaborative filtering applications like movie recommendation.
ContributorsChakraborty, Shayok (Author) / Panchanathan, Sethuraman (Thesis advisor) / Balasubramanian, Vineeth N. (Committee member) / Li, Baoxin (Committee member) / Mittelmann, Hans (Committee member) / Ye, Jieping (Committee member) / Arizona State University (Publisher)
Created2013
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
This study analyzes syllabi for first-year college composition courses and interview responses to examine how the choices made by instructors affect online course design. Using the Syllabus Assessment Instrument designed by Madson, Melchert and Whipp (2004), this dissertation looks specifically at attendance and participation policies, course behavior policies, contact information, required material choices, course organization decisions and tool decisions to reveal how instructors do or do not accommodate online class pedagogies. This study finds that the choices instructors make in syllabus design provide significant information about the overall online course design itself. Using Selber's multiliteracies as a frame for understanding the choices made by instructors, this study finds that instructors focus primarily on functional literacies in their discourses and in the way they communicate their choices to students. Instructors vary in how they inform students of the mechanics of how to interact with tools, how often to interact with the online course, and how to use the tools within the online course. While these aspects of online courses are important, focusing on these aspects of the online course overshadows alternative perspectives on tool use that could encourage critical reflection by both instructors and students. To help instructors and departments design more effective syllabi and courses, this study raises questions and offers observations about how instructors communicate policies and how they understand these policies and pedagogies in online courses. In providing general guidelines for syllabus design and course design, this study will help writing instructors and composition programs better understand the significance of the choices they make in online course design.
ContributorsPfannenstiel, Amber Nicole (Author) / Goggin, Peter (Thesis advisor) / Daly Goggin, Maureen (Committee member) / Hayes, Elisabeth (Committee member) / Arizona State University (Publisher)
Created2013
Description
The current research examines the influence of disciplines, advisors, committees, language, culture, and previous experiences in students' search and selection of dissertation topics, as well as whether and how students react to those influences during this process. Invention has been an area of research for rhetoricians for centuries, but most modern research focuses exclusively on the pre-writing process in first composition classrooms (Young, 1976). The current research collected survey and interview data from second- and third-year Ph.D. students in natural sciences, social sciences, and humanities at a large research university in the United States. 80 second- and third-year Ph.D. students completed an online survey; 11 students and four of their advisors participated in a semi-structured interview. The results demonstrate that the majority of students spent over three months in the selection of dissertation topics, and the humanities students tended to spend longer time in this process than social sciences or humanities students. Additionally, students have much in common in their perception of the criteria they would use in the selection of dissertation topics, and those criteria are similar to what previous researchers (Isaac, Koenigsknecht, Malaney, & Karras, 1989; Kozma, 1997; Sessions, 1971) have identified. However, when it comes to the actual selection experiences, the interviews show that students do not necessarily apply those criteria rationally. Moreover, disciplines appear to have an overarching effect on students' topic selection. Natural sciences advisors appeared to have more direct involvement in students' topic choice than advisors in social sciences or humanities. The linguistic and cultural backgrounds of the eleven doctoral participants were not found influential in their selection of dissertation topics. Finally, although Ph.D. advisors generally have a good understanding of students' academic progress, their knowledge of the students' personal and professional concerns may differ, and the latter knowledge is crucial in their advising on students' dissertation topic choice. The current study suggests invention in the scholar and researcher level is significantly different from that of first-year composition classrooms. The successful invention of dissertation topics is indispensable of the influence of disciplines, programs as well as the intellectual and practical support students can receive.
ContributorsXia, Jing (Author) / Matsuda, Paul K (Thesis advisor) / James, Mark (Committee member) / Renaud, Claire (Committee member) / Arizona State University (Publisher)
Created2013
Description
Objective of this thesis project is to build a prototype using Linear Temporal Logic specifications for generating a 2D motion plan commanding an iRobot to fulfill the specifications. This thesis project was created for Cyber Physical Systems Lab in Arizona State University. The end product of this thesis is creation of a software solution which can be used in the academia and industry for research in cyber physical systems related applications. The major features of the project are: creating a modular system for motion planning, use of Robot Operating System (ROS), use of triangulation for environment decomposition and using stargazer sensor for localization. The project is built on an open source software called ROS which provides an environment where it is very easy to integrate different modules be it software or hardware on a Linux based platform. Use of ROS implies the project or its modules can be adapted quickly for different applications as the need arises. The final software package created and tested takes a data file as its input which contains the LTL specifications, a symbols list used in the LTL and finally the environment polygon data containing real world coordinates for all polygons and also information on neighbors and parents of each polygon. The software package successfully ran the experiment of coverage, reachability with avoidance and sequencing.
ContributorsPandya, Parth (Author) / Fainekos, Georgios (Thesis advisor) / Dasgupta, Partha (Committee member) / Lee, Yann-Hang (Committee member) / Arizona State University (Publisher)
Created2013
Description
Linear Temporal Logic is gaining increasing popularity as a high level specification language for robot motion planning due to its expressive power and scalability of LTL control synthesis algorithms. This formalism, however, requires expert knowledge and makes it inaccessible to non-expert users. This thesis introduces a graphical specification environment to create high level motion plans to control robots in the field by converting a visual representation of the motion/task plan into a Linear Temporal Logic (LTL) specification. The visual interface is built on the Android tablet platform and provides functionality to create task plans through a set of well defined gestures and on screen controls. It uses the notion of waypoints to quickly and efficiently describe the motion plan and enables a variety of complex Linear Temporal Logic specifications to be described succinctly and intuitively by the user without the need for the knowledge and understanding of LTL specification. Thus, it opens avenues for its use by personnel in military, warehouse management, and search and rescue missions. This thesis describes the construction of LTL for various scenarios used for robot navigation using the visual interface developed and leverages the use of existing LTL based motion planners to carry out the task plan by a robot.
ContributorsSrinivas, Shashank (Author) / Fainekos, Georgios (Thesis advisor) / Baral, Chitta (Committee member) / Burleson, Winslow (Committee member) / Arizona State University (Publisher)
Created2013
Description
Rhetorical theorist Kenneth Burke has asserted the significance of paying equal, if not more attention to, propagandist rhetoric, arguing that "there are other ways of burning books on the pyre-and the favorite method of the hasty reviewer is to deprive himself and his readers by inattention." Despite Burke's exhortation, attention to white supremacist discourse has been relatively meager. Historians Clive Webb and Charles Eagles have called for further research on white supremacy arguing that attention to white supremacist discourse is important both to fully understand and appreciate pro-civil rights rhetoric in context and to develop a more complex understanding of white supremacist rhetoric. This thesis provides a close examination of the literature and rhetoric of two white supremacist organizations: the Citizens' Council, an organization that sprang up in response to the 1954 landmark decision of Brown v. Board of Education and Stromfront.org, a global online forum community that hosts space for supporters of white supremacy. Memory scholars Barbie Zelizer, John Bodnar, and Stephen Brown note the usability of memory to shape social, political, and cultural aspects of society and the potential implications of such shaping. Drawing from this scholarship, the analysis of these texts focuses specifically on the rhetorical shaping of memory as a vehicle to promote white supremacy. Through an analysis of the Citizens' Council's use of historical events, national figures and cultural stereotypes, Chapter 1 explicates the organization's attempt to form a memorial narrative that worked to promote political goals, create a sense of solidarity through resistance, and indoctrinate the youth in the ideology of white supremacy. Chapter 2 examines the rhetorical use of memory on Stormfront and explains how the website capitalizes upon the wide reaching global impact of World War II to construct a memorial narrative that can be accessed by a global audience of white supremacists. Ultimately, this thesis offers a focused review of the rhetorical signatures of two white supremacist groups with the aim of combating contemporary instantiations of racist discourse.
ContributorsLadenburg, Kenneth (Author) / Ore, Ersula (Thesis advisor) / Miller, Keith (Committee member) / Bebout, Lee (Committee member) / Arizona State University (Publisher)
Created2013
Description
This research conducts two methods of rhetorical analysis of State of the Union Addresses: 1. Computational linguistic analysis of all State of the Union Addresses from 1790-2007, and 2. Close-readings and rhetorical analyses of two addresses: one by President Truman and one by President Reagan. This research shows the following key findings: 1. I am able to see general shifts in the authors' approaches to the State of the Union Address through historical computational analyses of the content of all speeches, and 2. Through close readings, I can understand the impact of the author's ethos and the historical context on the addresses, something that would not be readily revealed in a computational analysis. This study starts with a historical computational linguistic analysis of all State of the Union Addresses between 1790 and 2007. The study follows with close-readings of two State of the Union Addresses from the early and late Cold War period in-context: 1. Harry Truman's 1951 Address and 2. Ronald Reagan's 1986 Address. The main conclusions drawn from this research are that close-readings of State of the Union Addresses cannot be replaced by computational analyses, but can work in tandem with computerized text analysis to reveal shifts in rhetorical and topical features. This paper argues that there must be more close analyses in coordination with large-scale text analysis in order to understand the complexities of rhetorical situations.
ContributorsWegner, Peter (Author) / Goggin, Maureen (Thesis advisor) / Boyd, Patricia (Committee member) / Goggin, Peter (Committee member) / Arizona State University (Publisher)
Created2013