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Using Smart-Device Metrics to Inform Music Streaming

Description

This project seeks to motivate runners by creating an application that selectively plays music based on smartwatch metrics. This is done by analyzing metrics collected through a person’s smartwatch such as heart rate or running power and then selecting the music that best fits their workout’s intensity. This way, as…

This project seeks to motivate runners by creating an application that selectively plays music based on smartwatch metrics. This is done by analyzing metrics collected through a person’s smartwatch such as heart rate or running power and then selecting the music that best fits their workout’s intensity. This way, as the workout becomes harder for the user, increasingly motivating music is played.
ContributorsDoyle, Niklas (Author) / Osburn, Steven (Thesis director) / Miller, Phillip (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2023-05

Founders Lab: Fit Your DNA

Description
The Founders lab is a year-long program that gives its students an opportunity to participate in a unique team-based, experiential Barrett honors thesis project to design and apply marketing and sales strategies, as well as business and financial models to create and launch a new business. Initially, our team focused…

The Founders lab is a year-long program that gives its students an opportunity to participate in a unique team-based, experiential Barrett honors thesis project to design and apply marketing and sales strategies, as well as business and financial models to create and launch a new business. Initially, our team focused on creating a product that would provide those who have received basic genetic testing from services such as 23andMe with nutrition, exercise, and health/wellness educational resources. Over time, we transitioned our focus to creating a community forum that would also provide those resources to people who had not received basic genetic testing, but were still interested in accessing educational resources about the specific conditions that basic genetic testing services provide reports for. To accomplish this, we have produced a website that allows users to post content and interact with each other.
ContributorsUmana Fleck, David (Author) / Chapman, Isabella (Co-author) / Niu, Hardy (Co-author) / Byrne, Jared (Thesis director) / Lee, Christopher (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05

Bet Fitness

Description

In 2020, all states and territories within the United States have at least 20% obesity rates among adults, with the state of Arizona specifically being between 30-35% of adults (CDC, 2021). Being overweight and having obesity are linked to increased risk of heart disease, stroke, type 2 diabetes, high blood…

In 2020, all states and territories within the United States have at least 20% obesity rates among adults, with the state of Arizona specifically being between 30-35% of adults (CDC, 2021). Being overweight and having obesity are linked to increased risk of heart disease, stroke, type 2 diabetes, high blood pressure, certain cancers, as well as other chronic conditions (NIH, 2018). The high percentage is partly due to the work environment in society, which has become increasingly sedentary with the rise of labor-saving technologies, like computers for example. As a result, sedentary jobs have increased 83% since 1950 (American Heart Association, 2018). Our proposed solution to this problem of people not getting enough exercise is Bet Fitness. Bet Fitness is a mobile app that utilizes social and financial incentives to motivate users to consistently exercise. The quintessence of Bet Fitness is to bet money on your health. You first create a group with your friends or people you want to compete with. You then put in a specified amount of money into the betting pool. Users then have to exercise for a specified amount of days for a certain period of time (let’s say for instance, three times a week for a month). Workouts can be verified only by the other members of the group, where you can either send photos in a group chat, link your fitbit/other health data, or simply have another person vouch that you worked out as proof. Anyone who fails to keep up with the bet, loses their money that they put in and it gets equally distributed to the other members of the party. According to our initial survey, this idea has generated much interest among college students.
ContributorsPotts, Madison (Author) / DeMent, Clare (Co-author) / Semadeni, Nathanael (Co-author) / Wang, Shiyuan (Co-author) / Byrne, Jared (Thesis director) / Lee, Christopher (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05

Elementary School Lunches around the World

Description
This project looks into elementary school lunches around the world, with a focus on nutrition and government involvement. The project uses recent obesity research to determine the extent of childhood obesity and draws connections between obesity rates and each country's school food policies and resulting school lunch meals. The countries…

This project looks into elementary school lunches around the world, with a focus on nutrition and government involvement. The project uses recent obesity research to determine the extent of childhood obesity and draws connections between obesity rates and each country's school food policies and resulting school lunch meals. The countries researched are Greece, the United States, Japan, and France. An effort is made to find accurate representations by using real unstaged pictures of the school lunches as well as using real, recent school lunch menus. Analysis of the nutritive balance of each country's overall school lunch meals includes explanation of possible reasoning for lower quality or lesser-balanced school lunch meals. In Greece, the steadily rising child obesity rates are possibly due to Greece's struggling economy and the loss of traditional Greek foods in school lunches. In the U.S., the culprit of uncontrolled obesity rates may be a combination of budget and an unhealthful food culture that can't easily adopt wholesome meals and meal preparation methods. However, there have been recent efforts at improving school lunches through reimbursement to schools who comply with the new USDA NSLP meal pattern, and in combination with a general increased interest in making school lunches better, school lunches in the U.S. have been improving. In Japan, where obesity rates are fairly low, the retaining of traditional cuisine and wholesome foods and cooking methods in combination with a higher meal budget are probable reasons why child obesity rates are under control. In France, the combination of a higher budget with school lunches carefully calculated for balance along with traditional foods cooked by skilled chefs results in possibly the most healthful and palatable school lunches of the countries analyzed. Overall it is concluded that major predictors of more healthy and less obese children are higher food budgets, greater use of traditional foods, and more wholesome foods and cooking methods over packaged foods.
ContributorsOsugi, Mallory Nicole (Author) / Grgich, Traci (Thesis director) / Mason, Maureen (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05

Health and Representation: Examining Political Narratives of Immigrants in Arizona and Their Implications for Public Policy

Description
One of the main pillars of my academic career as a Barrett, The Honors College student at Arizona State University is my thesis. The project's main goal is to investigate Arizona's political narratives about immigrants and health, with a particular emphasis on how much immigrants express their personal health-related experiences…

One of the main pillars of my academic career as a Barrett, The Honors College student at Arizona State University is my thesis. The project's main goal is to investigate Arizona's political narratives about immigrants and health, with a particular emphasis on how much immigrants express their personal health-related experiences and how these narratives relate to the discussion of public policy. In order to investigate media portrayals and their consequences, this study uses a qualitative analysis of English-language newspapers in Arizona, guided by theoretical frameworks such as the social construction of policy target groups and policy feedback. hope to answer important concerns regarding the perspectives of immigrants in health narratives and how policy shapes or reflects these narratives through my research. Along with adding to the body of knowledge on immigration, health, and public policy, the study also provides insights into successful student-faculty collaboration strategies for undergraduate research. Under Professor Pedraza's guidance, my involvement includes project planning, literature evaluation, data gathering, analysis, and thesis writing. This activity promotes professional preparedness and intellectual development while highlighting the media's wider impact on public opinion and policymaking. This thesis offers a framework for future research and educational innovation in addition to enhancing understanding of immigration and health narratives by recording the study process and collaboration.
ContributorsArora, Sia (Author) / Pedraza, Francisco (Thesis director) / Simhony, Avital (Committee member) / Barrett, The Honors College (Contributor) / School of Politics and Global Studies (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-12

Therapy Assistant AIs

Description
The Therapist Assistant AI project focuses on the development of several chatbots based on ChatGPT 4o to aid therapists by functioning as a general assistant, allowing Therapists to bounce ideas off them, suggesting solutions, and letting Therapists use natural language to interact with the client’s data to retrieve and analyze…

The Therapist Assistant AI project focuses on the development of several chatbots based on ChatGPT 4o to aid therapists by functioning as a general assistant, allowing Therapists to bounce ideas off them, suggesting solutions, and letting Therapists use natural language to interact with the client’s data to retrieve and analyze it. It is integrated with the overall Empath project it is a part of, including Empath's APIs. It uses synthetic data generation to compensate for the lack of publicly available datasets for therapist assistant models.
ContributorsReza, Saqib (Author) / Osburn, Steven (Thesis director) / Patil, Karan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-12

Fresh15

DescriptionFresh15 is an iOS application geared towards helping college students eat healthier. This is based on a user's preferences of price range, food restrictions, and favorite ingredients. Our application also considers the fact that students may have to order their ingredients online since they don't have access to transportation.
ContributorsBailey, Reece (Co-author) / Fallah-Adl, Sarah (Co-author) / Meuth, Ryan (Thesis director) / McDaniel, Troy (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05