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Description
This paper introduces MisophoniAPP, a new website for managing misophonia. It will briefly discuss the nature of this chronic syndrome, which is the experience of reacting strongly to certain everyday sounds, or “triggers”. Various forms of Cognitive Behavioral Therapy and the Neural Repatterning Technique are currently used to treat misophonia,

This paper introduces MisophoniAPP, a new website for managing misophonia. It will briefly discuss the nature of this chronic syndrome, which is the experience of reacting strongly to certain everyday sounds, or “triggers”. Various forms of Cognitive Behavioral Therapy and the Neural Repatterning Technique are currently used to treat misophonia, but they are not guaranteed to work for every patient. Few apps exist to help patients with their therapy, so this paper describes the design and creation of a new website that combines exposure therapy,
relaxation, and gamification to help patients alleviate their misophonic reflexes.
ContributorsNoziglia, Rachel Elisabeth (Author) / McDaniel, Troy (Thesis director) / Anderson, Derrick (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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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,

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.
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
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ContributorsVoitek, Julian (Author) / Thorn, Seth (Thesis director) / LiKamWa, Robert (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor)
Created2022-05
Description

Computer-based auditory training programs (CBATPs) are used as an at-home aural rehabilitation solution in individuals with hearing impairment, most commonly in recipients of cochlear implants or hearing aids. However, recent advancements in spatial audio and immersive gameplay have not seen inclusion in these programs. Isle Aliquo, a virtual-reality CBATP, is

Computer-based auditory training programs (CBATPs) are used as an at-home aural rehabilitation solution in individuals with hearing impairment, most commonly in recipients of cochlear implants or hearing aids. However, recent advancements in spatial audio and immersive gameplay have not seen inclusion in these programs. Isle Aliquo, a virtual-reality CBATP, is designed to reformat traditional rehabilitation exercises into virtual 3D space. The program explores how the aural exercise outcomes of detection, discrimination, direction, and identification can be improved with the incorporation of directional spatial audio, as well as how the experience can be made more engaging to improve adherence to training routines. Fundamentals of professional aural rehabilitation and current CBATP design inform the structure of the exercise modules found in Isle Aliquo.

ContributorsVoitek, Julian (Author) / Thorn, Seth (Thesis director) / LiKamWa, Robert (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor)
Created2022-05
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ContributorsVoitek, Julian (Author) / Thorn, Seth (Thesis director) / LiKamWa, Robert (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor)
Created2022-05
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ContributorsVoitek, Julian (Author) / Thorn, Seth (Thesis director) / LiKamWa, Robert (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor)
Created2022-05