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DescriptionAcoustic Ecology is an undervalued field of study of the relationship between the environment and sound. This project aims to educate people on this topic and show people the importance by immersing them in virtual reality scenes. The scenes were created using VR180 content as well as 360° spatial audio.
ContributorsNeel, Jordan Tanner (Author) / LiKamWa, Robert (Thesis director) / Feisst, Sabine (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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
Description
Augmented Reality (AR) is a tool increasingly available to young learners and educators. This paper documents and analyzes the creation of an AR app used as a tool to teach fractions to young learners and enhance their engagement in the classroom. As an emerging technology reaching diffusion into the general populace, AR presents a unique opportunity to engage users in the digital and real world. Additionally, AR can be enabled on most modern phones and tablets; therefore, it is extremely accessible and has a low barrier to entry. To integrate AR into the classroom in an affordable way, I created leARn, an AR application intended to help young learners understand fractions. leARn is an application intended to be used alongside traditional teaching methods, in order to enhance the engagement of students in the classroom. Throughout the development of the product, I not only considered usability and design, but also the effectiveness of the app in the classroom. Moreover, due to collaboration with Arizona State University Research Enterprises, I tested the application in a classroom with sixth, seventh and eighth grade students. This paper presents the findings from that testing period and analysis of the educational effectiveness of the concept based on data received from students.
ContributorsVan Dobben, Maureen Veronica (Author) / LiKamWa, Robert (Thesis director) / Swisher, Kimberlee (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05