color

Description
Our perspectives and experiences are constantly shaped by the music around us. Through the writing, recording, and producing of color, an eight track concept album, we seek to explore and reflect upon life's most significant milestones. This paper chronicles the

Our perspectives and experiences are constantly shaped by the music around us. Through the writing, recording, and producing of color, an eight track concept album, we seek to explore and reflect upon life's most significant milestones. This paper chronicles the year-long creation process of color and highlights the important influences, challenges, and approach which made the album all the more transcendental.
Date Created
2018-05
Agent

Battleship: A Case Study of the Augmented Reality User Experience

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Description
Emerging technologies, such as augmented reality (AR), are growing in popularity and accessibility at a fast pace. Developers are building more and more games and applications with this technology but few have stopped to think about what the best practices

Emerging technologies, such as augmented reality (AR), are growing in popularity and accessibility at a fast pace. Developers are building more and more games and applications with this technology but few have stopped to think about what the best practices are for creating a good user experience (UX). Currently, there are no universally accepted human-computer interaction guidelines for augmented reality because it is still relatively new. This paper examines three features - virtual content scale, indirect selection, and virtual buttons - in an attempt to discover their impact on the user experience in augmented reality. A Battleship game was developed using the Unity game engine with Vuforia, an augmented reality platform, and built as an iOS application to test these features. The hypothesis was that both virtual content scale and indirect selection would result in a more enjoyable and engaging user experience whereas the virtual button would be too confusing for users to fully appreciate the feature. Usability testing was conducted to gauge participants' responses to these features. After playing a base version of the game with no additional features and then a second version with one of the three features, participants rated their experiences and provided feedback in a four-part survey. It was observed during testing that people did not inherently move their devices around the augmented space and needed guidance to navigate the game. Most users were fascinated with the visuals of the game and two of the tested features. It was found that movement around the augmented space and feedback from the virtual content were critical aspects in creating a good user experience in augmented reality.
Date Created
2018-05
Agent

Renewal Philosophy - Honors Project

Description
The Renewal Philosophy thesis project consisted of two parts: the creation of a website for Dr. Anderson's Renewal Philosophy project and the development of four videos to be used in Dr. Anderson's classes at Arizona State University. The project includes

The Renewal Philosophy thesis project consisted of two parts: the creation of a website for Dr. Anderson's Renewal Philosophy project and the development of four videos to be used in Dr. Anderson's classes at Arizona State University. The project includes a written description of the processes and methods used in the completion of the website and videos.
Date Created
2018-05
Agent

Machine Learning Enabled Analytics for Health-Related Demographics: a Case Study Identifying Important Factors in Cardiac Disease

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Description
Machine learning for analytics has exponentially increased in the past few years due to its ability to identify hidden insights in data. It also has a plethora of applications in healthcare ranging from improving image recognition in CT scans to

Machine learning for analytics has exponentially increased in the past few years due to its ability to identify hidden insights in data. It also has a plethora of applications in healthcare ranging from improving image recognition in CT scans to extracting semantic meaning from thousands of medical form PDFs. Currently in the BioElectrical Systems and Technology Lab, there is a biosensor in development that retrieves and analyzes data manually. In a proof of concept, this project uses the neural network architecture to automatically parse and classify a cardiac disease data set as well as explore health related factors impacting cardiac disease in patients of all ages.
Date Created
2018-05