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- All Subjects: healthcare
- All Subjects: Spotify
- Member of: Theses and Dissertations
- Status: Published
Description
As technology's influence pushes every industry to change, healthcare professionals must move to a more connected model. The nearly ubiquitous presence of smartphones presents a unique opportunity for physicians to collect and process data from their patients more frequently. The Mayo Clinic, in partnership with the Barrett Honors College, has designed and developed a prototype smartphone application targeting palliative care patients. The application collects symptom data from the patients and presents it to the doctors. This development project serves as a proof-of-concept for the application, and shows how such an application might look and function. Additionally, the project has revealed significant possibilities for the future of the application.
ContributorsGaney, David Howard (Author) / Balasooriya, Janaka (Thesis director) / Lipinski, Christopher (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
Description
Palliative care is a field that serves to benefit enormously from the introduction of mobile medical applications. Doctors at the Mayo Clinic intend to address a reoccurring dilemma, in which palliative care patients visit the emergency room during situations that are not urgent or life-threatening. Doing so unnecessarily drains the hospital’s resources, and it prevents the patient’s physician from applying specialized care that would better suit the patient’s individual needs. This scenario is detrimental to all involved. A mobile medical application seeks to foster doctor-patient communication while simultaneously decreasing the frequency of these excessive E.R. visits. In order to provide a sufficient standard of usefulness and convenience, the design of such a mobile application must be tailored to accommodate the needs of palliative care patients. Palliative care is focused on establishing long-term comfort for people who are often terminally-ill, elderly, handicapped, or otherwise severely disadvantaged. Therefore, a UI intended for palliative care patients must be devoted to simplicity and ease of use. The application must also be robust enough that the user feels that they have been provided with enough capabilities. The majority of this paper is dedicated to overhauling an existing palliative care application, the product of a previous honors thesis project, and implementing a user interface that establishes a simple, positive, and advantageous environment. This is accomplished through techniques such as color-coding, optimizing page layout, increasing customization capabilities, and more. Above all else, this user interface is intended to make the patient’s experience satisfying and trouble-free. They should be able to log in, navigate the application’s features with a few taps of their finger, and log out — all without undergoing any frustration or difficulties.
ContributorsWilkes, Jarrett Matthew (Co-author) / Ganey, David (Co-author) / Dao, Lelan (Co-author) / Balasooriya, Janaka (Thesis director) / Faucon, Christophe (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
Description
Music streaming services have affected the music industry from both a financial and legal standpoint. Their current business model affects stakeholders such as artists, users, and investors. These services have been scrutinized recently for their imperfect royalty distribution model. Covid-19 has made these discussions even more relevant as touring income has come to a halt for musicians and the live entertainment industry. <br/>Under the current per-stream model, it is becoming exceedingly hard for artists to make a living off of streams. This forces artists to tour heavily as well as cut corners to create what is essentially “disposable art”. Rapidly releasing multiple projects a year has become the norm for many modern artists. This paper will examine the licensing framework, royalty payout issues, and propose a solution.
ContributorsKoudssi, Zakaria Corley (Author) / Sadusky, Brian (Thesis director) / Koretz, Lora (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Although Spotify’s extensive library of songs are often seen broken up by “Top 100” and main lyrical genres, these categories are primarily based on popularity, artist and general mood alone. If a user wanted to create a playlist based on specific or situationally specific qualifiers from their own downloaded library, he/she would have to hand pick songs that fit the mold and create a new playlist. This is a time consuming process that may not produce the most efficient result due to human error. The objective of this project, therefore, was to develop an application to streamline this process, optimize efficiency, and fill this user need.
Song Sift is an application built using Angular that allows users to filter and sort their song library to create specific playlists using the Spotify Web API. Utilizing the audio feature data that Spotify attaches to every song in their library, users can filter their downloaded Spotify songs based on four main attributes: (1) energy (how energetic a song sounds), (2) danceability (how danceable a song is), (3) valence (how happy a song sounds), and (4) loudness (average volume of a song). Once the user has created a playlist that fits their desired genre, he/she can easily export it to their Spotify account with the click of a button.
Song Sift is an application built using Angular that allows users to filter and sort their song library to create specific playlists using the Spotify Web API. Utilizing the audio feature data that Spotify attaches to every song in their library, users can filter their downloaded Spotify songs based on four main attributes: (1) energy (how energetic a song sounds), (2) danceability (how danceable a song is), (3) valence (how happy a song sounds), and (4) loudness (average volume of a song). Once the user has created a playlist that fits their desired genre, he/she can easily export it to their Spotify account with the click of a button.
ContributorsDiMuro, Louis (Author) / Balasooriya, Janaka (Thesis director) / Chen, Yinong (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05