With as rapid a growth that Esports has had and its current introduction to the public mainstream, there is yet to be sufficient studies and research compiled to fully develop the profile of an Esport consumer. While companies such as Neilson and others have begun scratching the surface of the Esport community, there is much that is relatively unknown. Consumer behavior patterns of traditional sports has been defined for years, however as the billion dollar a year industry that Esports is, Esport consumer behavior is still taking shape. This thesis will attempt to build upon previous studies conducted by former Arizona State University students to continue to define the Esport consumer. Through quantitative research conducted via an online survey consisting of demographic, behavioral, and psychographic questions, the stereotype of an Esport consumer will be dissolved to reveal their true nature. This study will prove to be an iteration among the previous research by -<br/>• Developing a functional segmentation of Esport consumers, which will allow for marketers within the industry to better understand their audience in their attempts to persuade/incentivize<br/>• Understanding and dissecting the scale of influence that content creators (those who play Esports for the purpose of entertaining through various platforms) and competitive Esport athletes have on certain segmentations of consumers<br/>• Discovering the impact the COVID-19 pandemic has had on certain segmentations in regards to their time spent playing themselves<br/><br/> After compiling results from this questionnaire, marketers that are both endemic and non-endemic brands seeking to partner within the Esports space will have a better understanding of their audience and how to connect with them.

Affective computing allows computers to monitor and influence people’s affects, in other words emotions. Currently, there is a lot of research exploring what can be done with this technology. There are many fields, such as education, healthcare, and marketing, that this technology can transform. However, it is important to question what should be done. There are unique ethical considerations in regards to affective computing that haven't been explored. The purpose of this study is to understand the user’s perspective of affective computing in regards to the Association of Computing Machinery (ACM) Code of Ethics, to ultimately start developing a better understanding of these ethical concerns. For this study, participants were required to watch three different videos and answer a questionnaire, all while wearing an Emotiv EPOC+ EEG headset that measures their emotions. Using the information gathered, the study explores the ethics of affective computing through the user’s perspective.

In this essay, I set out to explore and analyze how Shirley Jackson’s The Haunting of Hill House, and the character of Eleanor Vance in particular, disrupts and redefines the traditional conventions of the Female Gothic within the context of the 20th century. I utilize Tania Modleski's gendering of Freud's theory of psychoanalysis in her exploration of the ‘Female Uncanny,’ arguing that the source of the Uncanny in the Female Gothic can be found in the "fear of being lost in the mother." I argue that Jackson's complex personal life, including her fraught relationship with her mother and her difficult marriage with literary critic Edgar Hyman, color her fiction and the primary motivations of her protagonist, Eleanor Vance. I also outline the traditional structure of the Gothic novel and the heroine's journey. With the necessary context provided, I then explain how Eleanor Vance’s character rejects these Gothic traditions and ushers in a new era of Female Gothic fiction.

Cryptojacking is a process in which a program utilizes a user’s CPU to mine cryptocurrencies unknown to the user. Since cryptojacking is a relatively new problem and its impact is still limited, very little has been done to combat it. Multiple studies have been conducted where a cryptojacking detection system is implemented, but none of these systems have truly solved the problem. This thesis surveys existing studies and provides a classification and evaluation of each detection system with the aim of determining their pros and cons. The result of the evaluation indicates that it might be possible to bypass detection of existing systems by modifying the cryptojacking code. In addition to this classification, I developed an automatic code instrumentation program that replaces specific instructions with functionally similar sequences as a way to show how easy it is to implement simple obfuscation to bypass detection by existing systems.

As part of the Founders’ lab program, this thesis explores a social venture idea whose concept is to connect the philanthropic community with individuals and organizations in need of funding a project relating to (Sustainable Development Goals) SDG indicators through a peer-to-peer donation-based crowdfunding platform. Through this platform, the philanthropic community will have the possibility to easily access a wide range of projects to support as well as underserved individuals and communities seeking help, track their impact, donate in a complete transparent donation process, and automate donations through bank card round-ups. This social venture idea has been named PhilanthroGo.

This paper is centered on the use of generative adversarial networks (GANs) to convert or generate RGB images from grayscale ones. The primary goal is to create sensible and colorful versions of a set of grayscale images by training a discriminator to recognize failed or generated images and training a generator to attempt to satisfy the discriminator. The network design is described in further detail below; however there are several potential issues that arise including the averaging of a color for certain images such that small details in an image are not assigned unique colors leading to a neutral blend. We attempt to mitigate this issue as much as possible.

This paper is centered on the use of generative adversarial networks (GANs) to convert or generate RGB images from grayscale ones. The primary goal is to create sensible and colorful versions of a set of grayscale images by training a discriminator to recognize failed or generated images and training a generator to attempt to satisfy the discriminator. The network design is described in further detail below; however there are several potential issues that arise including the averaging of a color for certain images such that small details in an image are not assigned unique colors leading to a neutral blend. We attempt to mitigate this issue as much as possible.

The NCAA is changing the current rules and regulations around a student-athlete’s name, image, and likeness. Previously, student-athletes were not allowed to participate in business activities or noninstitutional promotional activities. With the new rule changes, student-athletes will be able to engage in business activities related to their own name, image, and likeness. The goal of the team was to help “prepare athletes to understand and properly navigate the evolving restrictions and guidelines around athlete name, image, and likeness”. In order to accomplish this, the team had to understand the problems student-athletes face with these changing rules and regulations. The team conducted basic market research to identify the problem. The problem discovered was the lack of communication between student-athletes and businesses. In order to verify this problem, the team conducted several interviews with Arizona State University Athletic Department personnel. From the interviews, the team identified that the user is the student-athletes and the buyer is the brands and businesses. Once the problem was verified and the user and buyer were identified, a solution that would best fit the customers was formulated. The solution is a platform that assists student-athletes navigate the changing rules of the NCAA by providing access to a marketplace optimized to working with student-athletes and offering an ease of maintaining relationships between student-athletes and businesses. The solution was validated through meetings with interested brands. The team used the business model and market potential to pitch the business idea to the brands. Finally, the team gained traction by initiating company partnerships.

Whispers from Above is a creative project that aims to normalize the conversation and validate the emotional experience of grief, through the use of art therapies. Art therapy can be expressive in which someone creates their own work, such as visual art, poetry, performance, music, movement, etc. Art therapy can also be receptive in which someone analyzes and understands someone else's artwork. This project was released on SoundCloud in order to make grief resources more accessible to all and to build an online community.<br/><br/>Whispers from Above worked with twelve poets, fifteen artists, six different interviewees, and multiple musicians to create a month of grief support. The finale piece of Whispers from Above was devised from the twenty-nine poems used within this month-long healing journey. All the individual poems were woven into a single devised poem to be presented as the final piece symbolizing that no one is alone in grief.<br/><br/>Whispers from Above is creative community exploration of grief, loss, and death in which we hope contributors, and listeners find solace and support. This series will exist on SoundCloud after March 27th, 2021 with a monthly release of a poem or interview accompanied by art, and music.

A project about developing software for learning turned into a project for learning about software development. The submission here only includes the journal. However, the journal has a link to the public GitHub repository containing the source code for the thesis. The source code implements a program to facilitate self-study by allowing the user to create quizzes. The journal contains my experience working on the project (both successes and failures).