Matching Items (5)
Description
Should choreographing a dance routine be completely subjective or should it include some objective assessment? Dance is a performing art with the purpose of expressing an emotion or idea. In literature, dance is approached from solely the artistic side, using principles of art like movement, pattern, and rhythm. Art and science are often pinned against one another; art is considered subjective while science considered objective. Art tries to express knowledge while science aims to acquire knowledge. However, the two disciplines relate in their effort to understand the world. Although their intended audiences are contrasting, their goals are essentially the same. Considering this relation, my thesis will use both art and science to quantify elements of pom routines to create objective data to be used in the subjective choreography process. My project will look at the collegiate dance world and assess routines that have placed well at UDA College Dance Team National Championships. This research investigates how inclusion of certain elements adds value to the pom routines performed. I will then take what I have analyzed and gathered from extensive research on these successful routines and choreograph my own routine for my college dance team to compete in the 2020 UDA College Dance Team National Championship. With proper preparation and inclusion of the correct elements that were found in other winning routines, the Arizona State University Dance Team will place well and better than last year’s eighth place.
ContributorsHolland, Haylee Aliyah (Author) / Hudson, James G. (Thesis director) / Caryl, Bianca (Committee member) / Harrington Bioengineering Program (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The goal of this thesis is to explore and present a range of approaches to “algorithmic choreography.” In the context of this thesis, algorithmic choreography is defined as choreography with computational influence or elements. Traditionally, algorithmic choreography, despite containing works that use computation in a variety of ways, has been used as an umbrella term for all works that involve computation.
This thesis intends to show that the diversity of algorithmic choreography can be reduced into more specific categories. As algorithmic choreography is fundamentally intertwined with the concept of computation, it is natural to propose that algorithmic choreography works be separated based on a spectrum that is defined by the extent of the involvement of computation within each piece.
This thesis seeks to specifically outline three primary categories that algorithmic works can fall into: pieces that involve minimal computational influence, entirely computationally generated pieces, and pieces that lie in between. Three original works were created to reflect each of these categories. These works provide examples of the various methods by which computation can influence and enhance choreography.
The first piece, entitled Rαinwater, displays a minimal amount of computational influence. The use of space in the piece was limited to random, computationally generated paths. The dancers extracted a narrative element from the random paths. This iteration resulted in a piece that explores the dancers’ emotional interaction within the context of a rainy environment. The second piece, entitled Mymec, utilizes an intermediary amount of computation. The piece sees a dancer interact with a projected display of an Ant Colony Optimization (ACO) algorithm. The dancer is to take direct inspiration from the movement of the virtual ants and embody the visualization of the algorithm. The final piece, entitled nSkeleton, exhibited maximal computational influence. Kinect position data was manipulated using iterative methods from computational mathematics to create computer-generated movement to be performed by a dancer on-stage.
Each original piece was originally intended to be presented to the public as part of an evening-length show. However, due to the rise of the COVID-19 pandemic caused by the novel coronavirus, all public campus events have been canceled and the government has recommended that gatherings with more than 10 people be entirely avoided. Thus, the pieces will instead be presented in the form of a video published online. This video will encompass information about the creation of each piece as well as clips of choreography.
This thesis intends to show that the diversity of algorithmic choreography can be reduced into more specific categories. As algorithmic choreography is fundamentally intertwined with the concept of computation, it is natural to propose that algorithmic choreography works be separated based on a spectrum that is defined by the extent of the involvement of computation within each piece.
This thesis seeks to specifically outline three primary categories that algorithmic works can fall into: pieces that involve minimal computational influence, entirely computationally generated pieces, and pieces that lie in between. Three original works were created to reflect each of these categories. These works provide examples of the various methods by which computation can influence and enhance choreography.
The first piece, entitled Rαinwater, displays a minimal amount of computational influence. The use of space in the piece was limited to random, computationally generated paths. The dancers extracted a narrative element from the random paths. This iteration resulted in a piece that explores the dancers’ emotional interaction within the context of a rainy environment. The second piece, entitled Mymec, utilizes an intermediary amount of computation. The piece sees a dancer interact with a projected display of an Ant Colony Optimization (ACO) algorithm. The dancer is to take direct inspiration from the movement of the virtual ants and embody the visualization of the algorithm. The final piece, entitled nSkeleton, exhibited maximal computational influence. Kinect position data was manipulated using iterative methods from computational mathematics to create computer-generated movement to be performed by a dancer on-stage.
Each original piece was originally intended to be presented to the public as part of an evening-length show. However, due to the rise of the COVID-19 pandemic caused by the novel coronavirus, all public campus events have been canceled and the government has recommended that gatherings with more than 10 people be entirely avoided. Thus, the pieces will instead be presented in the form of a video published online. This video will encompass information about the creation of each piece as well as clips of choreography.
ContributorsJawaid, Zeeshan (Co-author, Co-author) / Jackson, Naomi (Thesis director) / Curry, Nicole (Committee member) / Espanol, Malena (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of Film, Dance and Theatre (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Collaborating with others is a crucial part of growing creatively, and gaining perspective. With different artistic mediums like dance, film, music and design, there is a lot artists can learn from one another. Art is also a way to convey important messages that reflect social, political and cultural issues, and artists have become increasingly responsible for presenting these issues in a way that will provoke thought and create change. “Luna” is a series of compositions with a goal of inviting the audience into a different world. The use of sound design and electronic music production paired with piano arrangements creates a vast, sonic landscape, and the titles of each piece are related to space. The live performance of the album also involves dance, which adds another human element to the experience.
ContributorsAzersky, Sadie (Author) / Yanez, Raul (Thesis director) / Costa Palazuelos, Jorge (Committee member) / Barrett, The Honors College (Contributor) / School of Music, Dance and Theatre (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
Description
“Untangled Roots: Through us all” explores the transformative power of a dance-based intervention aimed at breaking the cycles of generational trauma to safeguard the well-being of future generations. Grounded in the understanding of generational trauma as the transmission of emotional wounds through familial lines, the choreography and production within the show examines how dance serves as a medium for raising awareness and facilitating healing. Through movement, storytelling, and embodied expression, both audience members and dancers are able to engage in a process of reconnecting with suppressed emotions, releasing tension, and reclaiming agency over their narratives. By fostering empathy, connection, and solidarity, the dance intervention not only addresses individual traumas but also works towards preventing their continuation into the future, thereby promoting resilience and well-being across generations.
ContributorsKabat, Kyla (Author) / Bradley Browning, Nicole (Thesis director) / Conder, Carley (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2024-05
Description
This study looked at the relationship between rape myth acceptance and gender, sexual orientation, and participant recruitment method. The study used a sample collected from both ASU students and Amazon MTurk. Using both ANOVAs and Means, the study was able to show that the relationships between rape myth acceptance varies across both gender and sexual orientation. As well as advocate for the use of a community sample in rape myth research. This research is able to provide statistically significant evidence for these relationships and is one of the first studies on the relationship between rape myth acceptance and sexual orientation.
ContributorsPayne, Taylor (Author) / Wallace, Danielle (Thesis director) / Coble, Suzanne (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of Criminology and Criminal Justice (Contributor)
Created2022-05