Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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- Creators: Arts, Media and Engineering Sch T
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
Dale and Edna is a hybrid animated film and videogame experienced in virtual reality with dual storylines that increases in potential meanings through player interaction. Developed and played within Unreal Engine 4 using the HTC Vive, Oculus, or PlayStation VR, Dale and Edna allows for players to passively enjoy the film element of the project or partake in the active videogame portion. Exploration of the virtual story world yields more information about that world, which may or may not alter the audience’s perception of the world. The film portion of the project is a static narrative with a plot that cannot be altered by players within the virtual world. In the static plot, the characters Dale and Edna discover and subsequently combat an alien invasion that appears to have the objective of demolishing Dale’s prize pumpkin. However, the aliens in the film plot are merely projections created by AR headsets that are reflecting Jimmy’s gameplay on his tablet. The audience is thus invited to question their perception of reality through combined use of VR and AR. The game element is a dynamic narrative scaffold that does not unfold as a traditional narrative might. Instead, what a player observes and interacts with within the sandbox level will determine the meaning those players come away from this project with. Both elements of the project feature modular code construction so developers can return to both the film and game portions of the project and make additions. This paper will analyze the chronological development of the project along with the guiding philosophy that was revealed in the result.
Keywords: virtual reality, film, videogame, sandbox
Keywords: virtual reality, film, videogame, sandbox
ContributorsKemp, Adam Lee (Co-author) / Kemp, Bradley (Co-author) / Kemp, Claire (Co-author) / LiKamWa, Robert (Thesis director) / Gilfillan, Daniel (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Thunderbird School of Global Management (Contributor) / School of Film, Dance and Theatre (Contributor) / School of International Letters and Cultures (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The LeapMax Gestural Interaction System is a project which utilizes the Leap Motion controller and visual programming language Max to extract complex and accurate skeletal hand tracking data from a performer in a global 3-D context. The goal of this project was to develop a simple and efficient architecture for designing dynamic and compelling digital gestural interfaces. At the core of this work is a Max external object which uses a custom API to extract data from the Leap Motion service and retrieve it in Max. From this data, a library of Max objects for determining more complex gesture and posture information was generated and refined. These objects can be are highly flexible and modular and can be used to create complex control schemes for a variety of systems. To demonstrate the use of this system in a performance context, an experimental musical instrument was designed in which the Leap is combined with an absolute orientation sensor and mounted on the head of a performer. This setup leverages the head mounted Leap Motion paradigm used in VR systems to construct an interactive sonic environment within the context of the user's environment. The user's gestures are mapped to the controls of a synthesis engine which utilizes several forms of synthesis including granular synthesis, frequency modulation, and delay modulation.
ContributorsJones, George Cooper (Author) / Hayes, Lauren (Thesis director) / Byron, Lahey (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Computing and Informatics Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
This study explores the results of an event hosted for undergraduate students in the Arts, Media and Engineering (AME) department at Arizona State University. 18 students were asked to sit and eat lunch with one another and share their opinions on personal and school-related topics. A follow-up survey consisting of eight questions was sent out to gauge how effective this event was in getting students to build stronger relationships with each other. Statistical analysis showed that 89% of students who attended would participate again and consider collaborating with another student at the event in future projects. From these results, a series of future interventions like the one mentioned in this paper could promote stronger relationships among students and add value to the department. A positive response from the students who participated could imply that students might be more inclined to reach out to classmates when in a setting made for that purpose.
ContributorsWheeler, Hannah M (Author) / Tinapple, David (Thesis director) / Olson, Loren (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Physical activity is something that everyone engages in at varying levels. It has been linked to positively impacting general wellbeing, as well as preparing the mind and body to learn new skills. However, the significance of physical activity remains under-explored in some areas. The purpose of this study was to determine the relationship between physical activity levels and emotional intelligence, navigation and planning skills, motor skills, memory capacity, and one’s perception of the ‘value’ of an object or an experience. During sessions, participants were equipped with two physiological sensors: the EEG B-Alert X10 or X24 headset, and the Shimmer GSR3. In addition to these, two external sensors were used: a web camera for recording and evaluating facial expressions, and the Tobii X2-30, X2-60, or Tobii T60XL eye tracking systems, used to monitor visual attention. These sensors were used to collect data while participants completed a series of tasks: the Self-Report of Emotional Intelligence Test, the Tower of London Test, the Motor Speed Test, the Working Memory Capacity Battery, watching product-centered videos, and watching experience-centered videos. Multiple surveys were also conducted, including a demographic survey, a nutritional and health survey, and a sports preference survey. Utilizing these metrics, this study found that those who exercise more experience and express higher levels of emotion, including joy, sadness, contempt, disgust, confusion, frustration, surprise, anger, and fear. This implies a difference in emotional response modulation between those who exercise more and those who exercise less, which in turn implies a difference in perception between the two groups. There were no significant findings related to navigation and planning skills, motor skills, or memory capacity from this analysis.
ContributorsFalls, Tarryn (Author) / Atkinson, Robert (Thesis director) / Chavez-Echeagaray, Maria Elena (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Popular competitive fighting games such as Super Smash Brothers and Street Fighter have some of the steepest learning curves in the gaming industry. These incredibly technical games require the full attention of the player and often take years to master completely. This barrier of entry prevents newer players from enjoying the competitive social environment that such games offer, creating a rift between casual and competitive players. Learning the rules can sometimes be more difficult than playing the game itself. To truly master these concepts requires personal attention from someone who deeply understands the core mechanics that operate behind the scenes.
Meanwhile, machine learning is growing more advanced by the day. Online retailers like Amazon run complex algorithms to recommend future purchases and monitor price changes. Mobile phones use neural networks to interpret speech. GPS apps track anonymous motion data in smartphones to give real-time traffic estimates. Artificial intelligence is becoming increasingly ubiquitous because of its versatility in analyzing and solving human problems; it follows, then, that a machine could learn how to teach humans skills and techniques. HelperBot is a platform fighting game project that employs this cutting-edge learning technology to close the skill gap between novice and veteran gamers as quickly and seamlessly as possible.
Meanwhile, machine learning is growing more advanced by the day. Online retailers like Amazon run complex algorithms to recommend future purchases and monitor price changes. Mobile phones use neural networks to interpret speech. GPS apps track anonymous motion data in smartphones to give real-time traffic estimates. Artificial intelligence is becoming increasingly ubiquitous because of its versatility in analyzing and solving human problems; it follows, then, that a machine could learn how to teach humans skills and techniques. HelperBot is a platform fighting game project that employs this cutting-edge learning technology to close the skill gap between novice and veteran gamers as quickly and seamlessly as possible.
ContributorsPalermo, Seth Daniel (Author) / Olson, Loren (Thesis director) / Marinelli, Donald (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
In June of 2016, the United Kingdom held a referendum for its citizens to decide whether to remain a part of the European Union or take their leave. The vote was close but ultimately the U.K. decided to leave, triggering the two-year process of negotiations that would shape the U.K.’s departure (Brexit). The question of what will become of the border between Northern Ireland and the Republic of Ireland is heavy with implications for the national identity of people living on either side of the border, and this makes it one of the more pressing concerns in Brexit discourse. This research analyzes how national identity is used as a rhetorical tactic in media to influence and persuade readers to vote in accordance with the author’s political goals. It does so by evaluating how borders shape national identity and analyzing newspaper articles from the two highest circulating Northern Irish daily newspapers (The Irish News and the Belfast Telegraph) during the week leading up to the June 23rd, 2016 referendum. In analyzing news articles relating to the Irish border issue of Brexit from The Irish News and the Belfast Telegraph during the time frame of June 16th-23rd, 2016, four analytical categories of how identity-related rhetoric was used were discovered: fear, self-interest, Irish Nationalism, and a negative association of the past. Further, it was hypothesized and confirmed the political leanings of the papers influenced which type of rhetorical tactic was used. In the broad realm of Brexit and media related discussion, this research could help strengthen understanding of how traditional media uses national identity to persuade readers to and influence voting behavior in the midst of such a divisive referendum.
Key Words: Brexit, Irish border, national identity, rhetoric, newspapers
Key Words: Brexit, Irish border, national identity, rhetoric, newspapers
ContributorsCaldwell, Tara (Author) / O'Flaherty, Katherine (Thesis director) / Ripley, Charles (Committee member) / School of Social Transformation (Contributor) / School of Politics and Global Studies (Contributor, Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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
Description
The nonprofit organization, I Am Zambia, works to give supplemental education to young women in Lusaka. I Am Zambia is creating sustainable change by educating these females, who can then lift their families and communities out of poverty. The ultimate goal of this thesis was to explore and implement high level systematic problem solving through basic and specialized computational thinking curriculum at I Am Zambia in order to give these women an even larger stepping stool into a successful future.
To do this, a 4-week long pilot curriculum was created, implemented, and tested through an optional class at I Am Zambia, available to women who had already graduated from the year-long I Am Zambia Academy program. A total of 18 women ages 18-24 chose to enroll in the course. There were a total of 10 lessons, taught over 20 class period. These lessons covered four main computational thinking frameworks: introduction to computational thinking, algorithmic thinking, pseudocode, and debugging. Knowledge retention was tested through the use of a CS educational tool, QuizIt, created by the CSI Lab of School of Computing, Informatics and Decision Systems Engineering at Arizona State University. Furthermore, pre and post tests were given to assess the successfulness of the curriculum in teaching students the aforementioned concepts. 14 of the 18 students successfully completed the pre and post test.
Limitations of this study and suggestions for how to improve this curriculum in order to extend it into a year long course are also presented at the conclusion of this paper.
To do this, a 4-week long pilot curriculum was created, implemented, and tested through an optional class at I Am Zambia, available to women who had already graduated from the year-long I Am Zambia Academy program. A total of 18 women ages 18-24 chose to enroll in the course. There were a total of 10 lessons, taught over 20 class period. These lessons covered four main computational thinking frameworks: introduction to computational thinking, algorithmic thinking, pseudocode, and debugging. Knowledge retention was tested through the use of a CS educational tool, QuizIt, created by the CSI Lab of School of Computing, Informatics and Decision Systems Engineering at Arizona State University. Furthermore, pre and post tests were given to assess the successfulness of the curriculum in teaching students the aforementioned concepts. 14 of the 18 students successfully completed the pre and post test.
Limitations of this study and suggestions for how to improve this curriculum in order to extend it into a year long course are also presented at the conclusion of this paper.
ContributorsGriffin, Hadley Meryl (Author) / Hsiao, Sharon (Thesis director) / Mutsumi, Nakamura (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05