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Music has consistently been documented as a manner to bring people together across cultures throughout the world. In this research, we propose that people use similar musical taste as a strong sign of potential social connection. To investigate this notion, we draw on literature examining how music merges the public/private self, the link to personality, and group identity, as well as how it is linked to romantic relationships. Thus, music can be a tool when wanting to get to know someone else and/or forge a platonic relationship. To test this hypothesis, we designed an experiment comparing music relative to another commonality (sharing a sports team in common) to see which factor is stronger in triggering an online social connection. We argue that people believe they have more in common with someone who shares similar music taste compared to other commonalities. We discuss implications for marketers on music streaming platforms.
ContributorsDrambarean, Julianna Rose (Co-author) / Simmons, Logan (Co-author) / Samper, Adriana (Thesis director) / Martin, Nathan (Committee member) / Department of Marketing (Contributor) / Watts College of Public Service & Community Solut (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
In an effort to address the lack of literature in on-campus active travel, this study aims to investigate the following primary questions:<br/>• What are the modes that students use to travel on campus?<br/>• What are the motivations that underlie the mode choice of students on campus?<br/>My first stage of research involved a series of qualitative investigations. I held one-on-one virtual interviews with students in which I asked them questions about the mode they use and why they feel that their chosen mode works best for them. These interviews served two functions. First, they provided me with insight into the various motivations underlying student mode choice. Second, they provided me with an indication of what explanatory variables should be included in a model of mode choice on campus.<br/>The first half of the research project informed a quantitative survey that was released via the Honors Digest to attract student respondents. Data was gathered on travel behavior as well as relevant explanatory variables.<br/>My analysis involved developing a logit model to predict student mode choice on campus and presenting the model estimation in conjunction with a discussion of student travel motivations based on the qualitative interviews. I use this information to make a recommendation on how campus infrastructure could be modified to better support the needs of the student population.
ContributorsMirtich, Laura Christine (Author) / Salon, Deborah (Thesis director) / Fang, Kevin (Committee member) / School of Public Affairs (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Music has consistently been documented as a manner to bring people together across cultures throughout the world. In this research, we propose that people use similar musical tastes as a strong sign of potential social connection. To investigate this notion, we draw on literature examining how music merges the public/private self, the link to personality, and group identity, as well as how it is linked to romantic relationships. Thus, music can be a tool when wanting to get to know someone else and/or forge a platonic relationship. To test this hypothesis, we designed an experiment comparing music relative to another commonality (sharing a sports team in common) to see which factor is stronger in triggering an online social connection. We argue that people believe they have more in common with someone who shares similar music taste compared to other commonalities. We discuss implications for marketers on music streaming platforms.
ContributorsSimmons, Logan Patrick (Co-author) / Drambarean, Julianna (Co-author) / Samper, Adriana (Thesis director) / Martin, Nathan (Committee member) / School of International Letters and Cultures (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
In this thesis I introduce a new direction to computing using nonlinear chaotic dynamics. The main idea is rich dynamics of a chaotic system enables us to (1) build better computers that have a flexible instruction set, and (2) carry out computation that conventional computers are not good at it. Here I start from the theory, explaining how one can build a computing logic block using a chaotic system, and then I introduce a new theoretical analysis for chaos computing. Specifically, I demonstrate how unstable periodic orbits and a model based on them explains and predicts how and how well a chaotic system can do computation. Furthermore, since unstable periodic orbits and their stability measures in terms of eigenvalues are extractable from experimental times series, I develop a time series technique for modeling and predicting chaos computing from a given time series of a chaotic system. After building a theoretical framework for chaos computing I proceed to architecture of these chaos-computing blocks to build a sophisticated computing system out of them. I describe how one can arrange and organize these chaos-based blocks to build a computer. I propose a brand new computer architecture using chaos computing, which shifts the limits of conventional computers by introducing flexible instruction set. Our new chaos based computer has a flexible instruction set, meaning that the user can load its desired instruction set to the computer to reconfigure the computer to be an implementation for the desired instruction set. Apart from direct application of chaos theory in generic computation, the application of chaos theory to speech processing is explained and a novel application for chaos theory in speech coding and synthesizing is introduced. More specifically it is demonstrated how a chaotic system can model the natural turbulent flow of the air in the human speech production system and how chaotic orbits can be used to excite a vocal tract model. Also as another approach to build computing system based on nonlinear system, the idea of Logical Stochastic Resonance is studied and adapted to an autoregulatory gene network in the bacteriophage λ.
ContributorsKia, Behnam (Author) / Ditto, William (Thesis advisor) / Huang, Liang (Committee member) / Lai, Ying-Cheng (Committee member) / Helms Tillery, Stephen (Committee member) / Arizona State University (Publisher)
Created2011
Description
Complex dynamical systems consisting interacting dynamical units are ubiquitous in nature and society. Predicting and reconstructing nonlinear dynamics of units and the complex interacting networks among them serves the base for the understanding of a variety of collective dynamical phenomena. I present a general method to address the two outstanding problems as a whole based solely on time-series measurements. The method is implemented by incorporating compressive sensing approach that enables an accurate reconstruction of complex dynamical systems in terms of both nodal equations that determines the self-dynamics of units and detailed coupling patterns among units. The representative advantages of the approach are (i) the sparse data requirement which allows for a successful reconstruction from limited measurements, and (ii) general applicability to identical and nonidentical nodal dynamics, and to networks with arbitrary interacting structure, strength and sizes. Another two challenging problem of significant interest in nonlinear dynamics: (i) predicting catastrophes in nonlinear dynamical systems in advance of their occurrences and (ii) predicting the future state for time-varying nonlinear dynamical systems, can be formulated and solved in the framework of compressive sensing using only limited measurements. Once the network structure can be inferred, the dynamics behavior on them can be investigated, for example optimize information spreading dynamics, suppress cascading dynamics and traffic congestion, enhance synchronization, game dynamics, etc. The results can yield insights to control strategies design in the real-world social and natural systems. Since 2004, there has been a tremendous amount of interest in graphene. The most amazing feature of graphene is that there exists linear energy-momentum relationship when energy is low. The quasi-particles inside the system can be treated as chiral, massless Dirac fermions obeying relativistic quantum mechanics. Therefore, the graphene provides one perfect test bed to investigate relativistic quantum phenomena, such as relativistic quantum chaotic scattering and abnormal electron paths induced by klein tunneling. This phenomenon has profound implications to the development of graphene based devices that require stable electronic properties.
ContributorsYang, Rui (Author) / Lai, Ying-Cheng (Thesis advisor) / Duman, Tolga M. (Committee member) / Akis, Richard (Committee member) / Huang, Liang (Committee member) / Arizona State University (Publisher)
Created2012
Description
What can classical chaos do to quantum systems is a fundamental issue highly relevant to a number of branches in physics. The field of quantum chaos has been active for three decades, where the focus was on non-relativistic quantumsystems described by the Schr¨odinger equation. By developing an efficient method to solve the Dirac equation in the setting where relativistic particles can tunnel between two symmetric cavities through a potential barrier, chaotic cavities are found to suppress the spread in the tunneling rate. Tunneling rate for any given energy assumes a wide range that increases with the energy for integrable classical dynamics. However, for chaotic underlying dynamics, the spread is greatly reduced. A remarkable feature, which is a consequence of Klein tunneling, arise only in relativistc quantum systems that substantial tunneling exists even for particle energy approaching zero. Similar results are found in graphene tunneling devices, implying high relevance of relativistic quantum chaos to the development of such devices. Wave propagation through random media occurs in many physical systems, where interesting phenomena such as branched, fracal-like wave patterns can arise. The generic origin of these wave structures is currently a matter of active debate. It is of fundamental interest to develop a minimal, paradigmaticmodel that can generate robust branched wave structures. In so doing, a general observation in all situations where branched structures emerge is non-Gaussian statistics of wave intensity with an algebraic tail in the probability density function. Thus, a universal algebraic wave-intensity distribution becomes the criterion for the validity of any minimal model of branched wave patterns. Coexistence of competing species in spatially extended ecosystems is key to biodiversity in nature. Understanding the dynamical mechanisms of coexistence is a fundamental problem of continuous interest not only in evolutionary biology but also in nonlinear science. A continuous model is proposed for cyclically competing species and the effect of the interplay between the interaction range and mobility on coexistence is investigated. A transition from coexistence to extinction is uncovered with a non-monotonic behavior in the coexistence probability and switches between spiral and plane-wave patterns arise. Strong mobility can either promote or hamper coexistence, while absent in lattice-based models, can be explained in terms of nonlinear partial differential equations.
ContributorsNi, Xuan (Author) / Lai, Ying-Cheng (Thesis advisor) / Huang, Liang (Committee member) / Yu, Hongbin (Committee member) / Akis, Richard (Committee member) / Arizona State University (Publisher)
Created2012
Description
GEICO Insurance offers a wide range of insurance options to consumers nationwide. The company has experienced exponential growth over the past 15 years largely due to their low rates, ease of purchase, online business model, and their industry-revolutionizing approach to advertising these competitive advantages. Operating primarily within the enormous Property and Casualty sector of the insurance industry, GEICO faces extremely high levels of competition from many well-resourced companies. The most dangerous of which have begun to respond to GEICO's humorous, charming, and often detached advertising strategy through the employment of one of two general strategies; either imitating and attempting to improve upon GEICO's brand image and advertising practices, or else attacking it, insinuating that a company with this appeal does not truly care about its customers or its services. As GEICO has already solidified their low price point and ease of purchase in the minds of consumers, a tactical shift in response to competitive actions is now optimal. To avoid being labeled as a "cut-rate" insurance provider who cares little about the safety or well-being of their clients, and provides them with low quality insurance products and services; the following integrated marketing campaign is proposed. Spearheaded by the slogan "As long as you have GEICO, Things are looking up.", this campaign will focus on raising awareness of the plethora of customer service programs and initiatives already offered by GEICO that are unknown to the general public. The humorous, lighthearted appeal will remain, but the focus on highlighting customer service benefits and the high quality associated with GEICO's product will serve to shift the public perception of GEICO. As a result of this campaign, GEICO will appeal to a broader segment of the market, retain customers for longer period of time, raise awareness of their helpful customer service products and services, and differentiate themselves from the competition.
ContributorsGood, David Gregory (Author) / Gray, Nancy (Thesis director) / Samper, Adriana (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / Department of Management (Contributor)
Created2015-05
Description
As a self-discrepancy arises between who an individual currently is and who they aspire to become, feelings of tension arise. Reactions to this stress are based on various personal beliefs. Our feelings of our potential to reach our desired state can be affected by our orientation of locus of control, or where we believe control is derived from within our life. In the present research, we examine how a person's locus of control--whether they are internal by attributing outcomes to their own actions or external believers that fate and chance drive their life outcomes--affects their reaction to a self-discrepancy in a domain that is important to them, and how this affects valuation of the products used in that domain. We found that while internals and externals behave similarly under feelings of high competence (baseline condition) when a self-discrepancy is not evident, reactions differed under the opposing condition of feeling less competent during their goal pursuit. Externals did not significantly change their belief in the product regardless of the condition (high vs. low competence) while internals took the defeat heavily by significantly decreasing their belief that the goal-related product would help them achieve their goals and decreased their willingness to pay for it.
ContributorsSweet, Megan Ruth (Author) / Samper, Adriana (Thesis director) / Ostrom, Amy (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / Department of Management (Contributor)
Created2015-05
Description
Currently, the medical industry employs an acute treatment process centered on responsiveness and restoration. This method fails those with chronic illness who require disease management and proactivity. As a solution, the medical industry has implemented programs focused on providing integrated, coordinated care. This project examines two primary models to accommodate chronically ill patients: Accountable Care Organizations (ACOs) and Patient Centered Medical Homes (PCMHs). Specifically, this paper examines the data from Pioneer and Medicare Shared Savings Program ACOs. In the aggregate, the data indicate that these programs have been unsuccessful due to several key issues: a lack of patient and physician engagement, failure to incentivize medical professionals and failed collaboration between both ACOs and PCMHs. Remedying these issues would improve the ability of both ACOs and PCMHs to provide integrated, comprehensive care to patients with chronic illnesses.
ContributorsWoods, Cassie Marie (Author) / Ketcham, Jonathan (Thesis director) / Samper, Adriana (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor)
Created2015-05
Description
Research on teamwork has shown that teams are more productive and produce better results than individuals working on their own. Yet, research on individuals' work preferences makes it clear that not everyone prefers working in teams. In order to improve teamwork and achieve better results in both the collegiate arena and in the professional world, this study was designed to research different factors that affect a group's performance and creativity: satisfaction, familiarity, and the behavioral styles of individual team members. Additionally, this study addresses if the group's composition of Keirsey types \u2014 temperament patterns \u2014 also play a role in the group's creativity and performance. In this study, students created teams of four to seven students and completed specific in-class activities called Applied Insights. Groups composed mostly of Guardians, one of the four Keirsey temperaments, are able to adapt to the task at hand, which is demonstrated here with creativity. Further, groups who perceive themselves as sharing similar traits with many members are more satisfied and achieve a higher overall performance. Lastly, groups comprised of individuals who were least familiar with their teammates they had not previously worked with, produced more creative results in the short run. Whereas groups comprised of individuals who were least familiar with their teammates they had previously worked with, produced better overall results in short run.
ContributorsPinto, Linda (Co-author) / Hulse, Christopher (Co-author) / Vaughn, Michael (Co-author) / LePine, Marcie (Thesis director) / Samper, Adriana (Committee member) / Barrett, The Honors College (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / School of Music (Contributor)
Created2014-12