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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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Description
This action research project was a concurrent mixed method case study design The purpose of this action research study was to begin to understand how an institution of higher education can best support creativity and innovation of university staff members. More specifically this study looked at the influence of a

This action research project was a concurrent mixed method case study design The purpose of this action research study was to begin to understand how an institution of higher education can best support creativity and innovation of university staff members. More specifically this study looked at the influence of a design thinking workshop on university staff perceived creative and innovative ability. Additionally, this study looked at the influence of individual attributes on staff creativity, and the influence of organizational attributes on staff innovation. Amabile and Pratt’s Dynamic Component Model of Creativity and Innovation in Organizations informed this study. Participants for this study were recruited from the Educational Outreach and Student Services division of Arizona State University at the Downtown Phoenix campus. Qualitative and quantitative data were collected using a Creativity and Innovation Survey (CIS) and individual interviews. The Creativity and Innovation Survey was distributed to staff before and after they participated in a two module design thinking workshop. Interviews with staff occurred after the conclusion of the workshops. In responses to the CIS and in interview staff had a strong belief in their ability to be creative and innovative in the workplace. A correlational analysis of CIS data indicated that a positive and significant relationship existed between creativity and individual attributes, as well as between, innovation and organizational attributes. Staff also expressed these relationships during interviews. The themes of collaboration, supervision, and resources each emerged from the interview data as important influencers of staff creativity and innovation. Although staff expressed there was a value in the design thinking workshops during interviews, a significant difference was not found in staffs’ perceived creativity and innovation after participating in the design thinking workshop. Implications for practice and for future research are discussed.
ContributorsMorgan, Chad William (Author) / Judson, Eugene (Thesis advisor) / Kim, Jeongeun (Committee member) / Anderson, Derrick (Committee member) / Arizona State University (Publisher)
Created2020