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- Creators: Computer Science and Engineering Program
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ContributorsLord, William (Author) / Kobayashi, Yoshihiro (Thesis director) / Hansford, Dianne (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-12
Description
The field of quantum computing is an exciting area of research that allows quantum mechanics such as superposition, interference, and entanglement to be utilized in solving complex computing problems. One real world application of quantum computing involves applying it to machine learning problems. In this thesis, I explore the effects of choosing different circuit ansatz and optimizers on the performance of a variational quantum classifier tasked with binary classification.
ContributorsHsu, Brightan (Author) / De Luca, Gennaro (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-12
Description
The number of extreme wildfires is on the rise globally, and predicting the size of a fire will help officials make appropriate decisions to mitigate the risk the fire poses against the environment and humans. This study attempts to find the burned area of fires in the United States based on attributes such as time, weather, and location of the fire using machine learning methods.
ContributorsPrabagaran, Padma (Author, Co-author) / Meuth, Ryan (Thesis director) / McCulloch, Robert (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-12
Description
This study outlines the tenets of aesthetic utilitarianism, an approach to designing websites. We did this through careful analysis of successful websites and other published studies. We evaluated the Founders Lab and New Venture Challenge websites using these tenets. Our findings show that neither website adheres to aesthetic utilitarian principles. We propose changes that would bring the websites in line with these principles. Finally, we created designs to show what these changes may look like in practice.
ContributorsKenny, Jacob (Author) / Zaheer, Dua (Co-author) / Byrne, Jared (Thesis director) / Kneer, Dan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-12
Description
This study aims to combine the wisdom of crowds with ML to make more accurate stock price predictions for a select set of stocks. Different from prior works, this study uses different input elicitation techniques to improve crowd performance. In addition, machine learning is used to support the crowd. The influence of ML on the crowd is tested by priming participants with suggestions from an ML model. Lastly, the market conditions and stock popularity is observed to better understand crowd behavior.
ContributorsBhogaraju, Harika (Author) / Escobedo, Adolfo R (Thesis director) / Meuth, Ryan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-12
Description
The growth in online job boards has made it easier than ever to find and apply for roles online. Unfortunately, since said job boards are, mainly, designed for hiring companies and not job applicants, the applicant interface is high friction and frustrating. With each company (and often each job) that a job-seeker applies for, they need to fill out an application form asking for the same information they have already provided countless times. This thesis explores the effectiveness of FuseApply, a web application and accompanying Chrome extension that reduces the friction involved in filling out these forms by automatically filling out a portion of job applications for users.
Results from user experience testing with eleven Arizona State University (ASU) School of Computing and Augmented Intelligence students on real-world job applications demonstrated significant time savings and thus added value for users. On average, FuseApply saved users 33.09 seconds in time completing online job application forms, compared with manually filling them out. A one-tail T-test confirmed that this difference is statistically significant. Users also showed noticeable reduction in frustration with FuseApply. 72.7% of applicants said that they would use FuseApply in the future when applying for jobs, and comments were also positive. Business viability is less clear, as 63.6% of applicants said they would not pay for the software. Results demonstrate that FuseApply is useful and valuable software, but cast doubt on monetization plans.
ContributorsO'Scannlain-Miller, Henry (Author) / Elena Chavez-Echeagaray, Maria (Thesis director) / Benjamin, Victor (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-12
Description
Girard Training Stables is a horse-based nonprofit organization that offers riding lessons, mental health support, and physical therapy. A scheduling tool was recently built for them to assist in managing as many as 90 volunteers across many different events. Our goal was to add observability to this scheduling tool, as being able to better observe the tool’s internal state would make fixing any problems easier. To add this observability we added both frontend and backend monitoring to track metrics such as how many users sign up for new accounts, when users start and finish creating an event, how much the server running the website is using its resources, and how many errors are caught while the server is running. Using these metrics, we were able to gain much insight into the internal state of the website and its users. We found that the frontend metrics were useful to non-technical users, with 70% of the users surveyed being able to correctly understand the data generated and theorize about parts of the website UI that could be improved based on said data. We were also able to correctly catch and log 100% of the test errors that were generated, and send alerts to administrators if these errors led to system failure. Overall, we were able to significantly improve the observability of the Girard Training Stables scheduling tool by adding monitoring, making it more robust, scalable, and easy to improve for the future.
ContributorsMoore, Peter (Author) / Ross, Michael (Co-author) / Chavez, Helen (Thesis director) / Vannoni, Greg (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-12
Description
Girard Training Stables is a horse-based nonprofit organization that offers riding lessons, mental health support, and physical therapy. A scheduling tool was recently built for them to assist in managing as many as 90 volunteers across many different events. Our goal was to add observability to this scheduling tool, as being able to better observe the tool’s internal state would make fixing any problems easier. To add this observability we added both frontend and backend monitoring to track metrics such as how many users sign up for new accounts, when users start and finish creating an event, how much the server running the website is using its resources, and how many errors are caught while the server is running. Using these metrics, we were able to gain much insight into the internal state of the website and its users. We found that the frontend metrics were useful to non-technical users, with 70% of the users surveyed being able to correctly understand the data generated and theorize about parts of the website UI that could be improved based on said data. We were also able to correctly catch and log 100% of the test errors that were generated, and send alerts to administrators if these errors led to system failure. Overall, we were able to significantly improve the observability of the Girard Training Stables scheduling tool by adding monitoring, making it more robust, scalable, and easy to improve for the future.
ContributorsRoss, Michael (Author) / Moore, Peter (Co-author) / Chavez, Helen (Thesis director) / Vannoni , Greg (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-12
Description
Coliving is a concept that has many benefits towards society and sustainability. This is due to the resources saved economically and environmentally when living with other people. Aisha Comfortable Coliving, a company based in Canada, provides a service where they help women find Coliving communities. A lack of knowledge pertaining to this service could slow down or halt the growth of Aisha ElSherbiny’s Aisha Comfortable Coliving company. This thesis was an extension of a broader project, “Web App for Aisha Comfortable Coliving Inc.,” which focused on transitioning from their current website platform into a web application. As an extension of this main project, this thesis is focused on the engine component design portion surrounding AI chatbots to determine which implementation would provide the best results for a small company in reaching their target audience and helping inform them through an interactive chatbot. The ability to present 24/7 support for Aisha Comfortable Coliving brings value to the company and the methods used in this chatbot can be reproduced in order to create similarly effective chatbots. This thesis delves into the various approaches and implementations researched to determine how to optimize the backend of a chatbot to provide speed, reliability, and expandability for companies aiming to create a chatbot for their users to interact with. It also discusses the methods used when implementing a chatbot called AishaBot using the IBM Watson Assistant’s platform that includes the development of Intents, Entities, Dialog Tree structure, and its WebHook functions. Overall, satisfaction pertaining to the designed chatbot engine within IBM Watson Assistant was discovered to be positive through user trials. Limitations have been discovered, feedback for future improvements have been noted, and lessons learned about the thoroughness of training data have been discussed.
ContributorsNgov, Justin (Author) / Salahudeen, Afsana (Co-author) / Chavez-Echeagaray, Maria Elena (Thesis director) / ElSherbiny, Aisha (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-12
Description
Society is developing at an exponential rate and engineers have become the pioneers of great technical breakthroughs; however, these revolutionary products can only become usable for the public if it is designed with the users in mind. User experience (UX) is the pinnacle of creating value for the user and an emphasis on UX can greatly increase company accessibility and legacy. One way to do this is through interactive chatbots that are available at all hours. Chatbots are becoming more mainstream for businesses' websites to improve the user experience by giving instantaneous relief to customers with pressing questions. Especially for new initiatives, providing chatbots that are constantly available to educate potential users on the company will drive more traffic.
The motivation behind this project was to create the best fitting chatbot, namely AishaBot, for the start-up Aisha Comfortable Coliving Inc. whose fun personality and educational tone speaks to the company demographic. After understanding the demographic, dialogues were written for the chatbot with a specific tone and sentiment to engage the users. In order to assess the effectiveness of the dialogue, 15 female participants were recruited to partake in the study, assessing their overall experience with the purpose of gaining feedback and refining the chatbot. Participants were asked to complete 5 tasks and the majority completed 95% of the tasks successfully, resulting in an overall positive user experience. The participants communicated with and received the tone of the dialogues very well from AishaBot. Along with this, a better understanding was gained on how to alter key words and how the participants from different age ranges went about asking their questions.
ContributorsSalahudeen, Afsana (Author) / Ngov, Justin (Co-author) / Elena Chavez-Echeagaray, Maria (Thesis director) / ElSherbiny, Aisha (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-12