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- All Subjects: Marketing
- All Subjects: Computer Science
- Creators: Barrett, The Honors College
Description
The objective of this research is to determine an approach for automating the learning of the initial lexicon used in translating natural language sentences to their formal knowledge representations based on lambda-calculus expressions. Using a universal knowledge representation and its associated parser, this research attempts to use word alignment techniques to align natural language sentences to the linearized parses of their associated knowledge representations in order to learn the meanings of individual words. The work includes proposing and analyzing an approach that can be used to learn some of the initial lexicon.
ContributorsBaldwin, Amy Lynn (Author) / Baral, Chitta (Thesis director) / Vo, Nguyen (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
Description
The thesis "How Professional Artists Can Better Promote Themselves Online" aims to create a solution to improve artists' online sales and exposure. With the Internet being such a congested platform, I began to wonder how it was possible for artists to stand out from the crowd. I conducted six in-depth interviews in order to form a better understanding of what problems and frustrations artists currently faced everyday online. The data I collected from these interviews transformed my thesis into an entrepreneurial venture, and the iPhone app Artello was born. I created an entire working prototype of my app using Keynotopia. Artello's mission is to build an interactive art community that will create and foster relationships between artists and buyers like never before. This platform illustrates to buyers an artist's personality, style, and individual story. With Artello's guidance, artists will form stronger relationships with art buyers, connect with similar artists, and create a compelling online presence.
ContributorsPoole, Parker Anne (Author) / Gray, Nancy (Thesis director) / Pomilio, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / Department of Management (Contributor)
Created2015-05
Description
The modern web presents an opportunity for educators and researchers to create tools that are highly accessible. Because of the near-ubiquity of modern web browsers, developers who hope to create educational and analytical tools can reach a large au- dience by creating web applications. Using JavaScript, HTML, and other modern web development technologies, Genie was developed as a simulator to help educators in biology, genetics, and evolution classrooms teach their students about population genetics. Because Genie was designed for the modern web, it is highly accessible to both educators and students, who can access the web application using any modern web browser on virtually any device. Genie demonstrates the efficacy of web devel- opment technologies for demonstrating and simulating complex processes, and it will be a unique educational tool for educators who teach population genetics.
ContributorsRoos, Benjamin Hirsch (Author) / Cartwright, Reed (Thesis director) / Wilson Sayres, Melissa (Committee member) / Mayron, Liam (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
Description
The purpose of this project was to program a Raspberry Pi to be able to play music from both local storage on the Pi and from internet radio stations such as Pandora. The Pi also needs to be able to play various types of file formats, such as mp3 and FLAC. Finally, the project is also to be driven by a mobile app running on a smartphone or tablet. To achieve this, a client server design was employed where the Raspberry Pi acts as the server and the mobile app is the client. The server functionality was achieved using a Python script that listens on a socket and calls various executables that handle the different formats of music being played. The client functionality was achieved by programming an Android app in Java that sends encoded commands to the server, which the server decodes and begins playing the music that command dictates. The designs for both the client and server are easily extensible and allow for any future modifications to the project to be easily made.
ContributorsStorto, Michael Olson (Author) / Burger, Kevin (Thesis director) / Meuth, Ryan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
Description
The goal of this thesis research was to figure out if there were tangible differences between the way men and women speak on Twitter, a micro blogging social media site, and to see if there ways to apply it to strategizing marketing campaigns. AntConc, a free concordance software by Lawrence Anthony, was used to help organize and analyze a corpus created from the Tweets that were collected form the public accounts of twelve different popular public figures. These individuals were chosen based on their profession or the industry that they are associated with, as well as their general popularity. The research focused on three main industries or professions that can be viewed as ‘gendered;’ which were ‘Modeling,’ ‘Fashion Publications,’ and ‘Sports.’ The data was then analyzed across five different main categories which included, ‘Additional Media,’ ‘Adjective Usage,’ ‘How are they talking?,’ ‘Who are they talking about?, and ‘What are they talking about?’ The primary data, along with secondary research was used to see if they words and language use of men and women aligned with stereotypical patterns or if there were patterns that were unique and overlooked.
What was found was that although gender did play a large part in the way men and women spoke, there were more similarities when comparing individuals of the same industry or profession, than there were if they were simply analyzed just based on gender. Additionally, there were many factors that made it difficult to say whether these were qualified patterns or simply tendencies. More research into this would be able to help marketing companies and individuals, better target the audience they want for social media campaigns, by taking into account the importance in contemporary differences in language use by men and women. However, this research would have to be done on data from sites like Twitter to provide an accurate depiction of the way men and women, on these very unique mediums, speak.
What was found was that although gender did play a large part in the way men and women spoke, there were more similarities when comparing individuals of the same industry or profession, than there were if they were simply analyzed just based on gender. Additionally, there were many factors that made it difficult to say whether these were qualified patterns or simply tendencies. More research into this would be able to help marketing companies and individuals, better target the audience they want for social media campaigns, by taking into account the importance in contemporary differences in language use by men and women. However, this research would have to be done on data from sites like Twitter to provide an accurate depiction of the way men and women, on these very unique mediums, speak.
ContributorsChan, Kayla Rose (Author) / Adams, Karen (Thesis director) / Shinabarger, Amy D. (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / Department of English (Contributor)
Created2015-05
Description
In 2016, in the United States alone, the cosmetics industry made an estimated 62.46 billion dollars in revenue (Revenue of the Cosmetic Industry in the U.S. 2002-2016 | Forecast). With a consistent increase in sales in the last several years, the industry has reached continued success even during times of hardship, such as the Great Recession of 2008. The use of Corporate Social Responsibility (CSR), external campaigns, and thoughtful packaging and ingredients resonates with targeted consumers. This has served as an effective strategy to maintain growth in the industry. Cosmetic companies promote their brand image using these sustainability tactics, but there seems to be a lack of transparency in this unregulated industry. The purpose of this thesis is to determine if the cosmetics industry is a good steward of the sustainability movement. Important terms and concepts relating to the industry will be discussed, then an analysis of sustainability focused cosmetic brands will be provided, which highlights the extent to which these brands engage in activities that promote sustainability. This is followed by an application of findings to a company that could benefit from using such practices. Overall, the analysis of the different brands proved to be shocking and disappointing. This is due to the sheer amount that scored very poorly based on the sustainability criteria developed. The cosmetics industry is too inconsistent and too unregulated to truly act as a good steward for sustainability. Though some companies in the industry succeed, these accomplishments are not consistent across all cosmetic companies. Hence, the cosmetics industry as a good steward for sustainability can only be as strong as its weakest link.
ContributorsMamus, Sydney Wasescha (Author) / Ostrom, Amy (Thesis director) / Kristofferson, Kirk (Committee member) / Department of Marketing (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This report was commissioned to provide an analysis and evaluation of consumer perceptions and branding as it relates to the political and social climate in America. To be able to do this, the paper analyzes shifts in the external environment as well as researching case studies and online consumer perception surveys. Overall, this paper aims to examine the distributed survey and attempt to correlate and identify how branding, consumer perceptions, and social and political issues all can work and affect one another. Through the administration of this survey, we were able to formulate a conclusion that points towards the importance of brands actively adhering to changing consumer preferences, ideals, and expectations.
ContributorsClark, Sydney (Co-author) / Loera, Carolina (Co-author) / Montoya, Detra (Thesis director) / Samper, Adriana (Committee member) / W.P. Carey School of Business (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Artificial intelligence (AI) is a burgeoning technology, industry, and field of study. While interest levels regarding its applications in marketing have not yet translated into widespread adoption, AI holds tremendous potential for vastly altering how marketing is done. As such, AI in marketing is a crucial topic to research. By analyzing its current applications, its potential use cases in the near future, how to implement it and its areas for improvement, we can achieve a high-level understanding of AI's long-term implications in marketing. AI offers an improvement to current marketing tactics, as well as entirely new ways of creating and distributing value to customers. For example, programmatic advertising and social media marketing can allow for a more comprehensive view of customer behavior, predictive analytics, and deeper insights through integration with AI. New marketing tools like biometrics, voice, and conversational user interfaces offer novel ways to add value for brands and consumers alike. These innovations all carry similar characteristics of hyper-personalization, efficient spending, scalable experiences, and deep insights. There are important issues that need to be addressed before AI is extensively implemented, including the potential for it to be used maliciously, its effects on job displacement, and the technology itself. The recent progression of AI in marketing is indicative that it will be adopted by a majority of companies soon. The long-term implications of vast implementation are crucial to consider, as an AI-powered industry entails fundamental changes to the skill-sets required to thrive, the way marketers and brands work, and consumer expectations.
ContributorsCannella, James (Author) / Ostrom, Amy (Thesis director) / Giles, Charles (Committee member) / Department of Marketing (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Students learn in various ways \u2014 visualization, auditory, memorizing, or making analogies. Traditional lecturing in engineering courses and the learning styles of engineering students are inharmonious causing students to be at a disadvantage based on their learning style (Felder & Silverman, 1988). My study analyzes the traditional approach to learning coding skills which is unnatural to engineering students with no previous exposure and examining if visual learning enhances introductory computer science education. Visual and text-based learning are evaluated to determine how students learn introductory coding skills and associated problem solving skills. My study was conducted to observe how the two types of learning aid the students in learning how to problem solve as well as how much knowledge can be obtained in a short period of time. The application used for visual learning was Scratch and Repl.it was used for text-based learning. Two exams were made to measure the progress made by each student. The topics covered by the exam were initialization, variable reassignment, output, if statements, if else statements, nested if statements, logical operators, arrays/lists, while loop, type casting, functions, object orientation, and sorting. Analysis of the data collected in the study allow us to observe whether the traditional method of teaching programming or block-based programming is more beneficial and in what topics of introductory computer science concepts.
ContributorsVidaure, Destiny Vanessa (Author) / Meuth, Ryan (Thesis director) / Yang, Yezhou (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Influencer marketing occurs when a brand elicits an individual to publicly promote or review its product in exchange for some benefit, which can often be either monetary or material. This practice has exploded in today’s marketing and advertising industry due to its high return on investment for businesses and income potential for influencers. With this new and evolving process comes a struggle to establish and maintain regulations between brands, consumers, and influencers. Because influencer marketing is purely based on authenticity and trust between the influencer and the consumer, disclosure or lack thereof can seriously impact the validity of the endorsement. I conducted a study in which consumers were shown a staged influencer post and asked to answer a series of questions regarding compensation, appeal, authenticity, and influence, under three different conditions. Condition A showed an influencer’s post with only general information, Condition B revealed that the post was in collaboration with Tory Burch, and Condition C stated that Tory Burch told the influencer when and where to make the post. I found that as the influencer disclosed more about how she was compensated and controlled by the brand, respondents found the content less appealing, less authentic, and reported that they thought a brand had more influence and compensated her more to create the post. These findings support the idea that influencer marketing requires a level of honesty and trust between the consumer and influencer, and a lack of this causes negative sentiments and less effective results. Moving forward, brands and influencers alike must work to foster more transparent and authentic connections in order be in compliance with FTC regulations as well as maintain meaningful connections with consumers.
ContributorsLoy, Brooke Ellise (Author) / Giles, Charles (Thesis director) / Montoya, Detra (Committee member) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05