Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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Description
For my Honor’s Project for Barrett the Honors College, I chose to research and develop an
application on the topic of Ideal Weightlifting Volume and Frequency for The Male Lifter. The
reason I decided to center my project around this topic is due to the plethora of information
available on this subject matter.

For my Honor’s Project for Barrett the Honors College, I chose to research and develop an
application on the topic of Ideal Weightlifting Volume and Frequency for The Male Lifter. The
reason I decided to center my project around this topic is due to the plethora of information
available on this subject matter. However, I was more driven to pursue this subject matter due to
the lack of implementation and usage of all the relevant information and case studies offered to
us through the means of online journals, abstracts, reports, etc.
The application will be programmed using the software known as Android Studio. Inside
Android Studio, the programming language that will be utilized is Java. The goal for this
application is to gather information from the user, and with that information, create a conducive
weekly weightlifting regiment based on the wants and needs of the user. Furthermore, the
application will only create programs on a week to week basis, thus encouraging the user to
dabble with different preferences each week. Outputting the program on a week-to-week basis is
an integral logic of this program because it is my belief that if the user is given the privilege to
change their programming on a weekly basis this will allow for flexibility, adaptability, and the
pursuance of short-term goals, which is much more tangible in the onslaught of obtaining a goal.
When browsing through the app store or the internet, it is incredibly difficult to find online
programs that utilize research and scientific credibility. Many of these programs and trainers
offer quick results that are flashy and trendy, however lack any real qualitative reinforcement.
Thus, it is my mission, with my application, to create a program that is intuitive for the user, as
well as to provide scientific programming with proper citation of case studies and reports
conducted by educated individuals.
ContributorsMallick, Zeeshan Khursheed (Author) / Marsit, Joseph (Thesis director) / Chisum, Jack (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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
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
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
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
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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