Matching Items (144)
Filtering by
- Genre: Academic theses
- Creators: Yang, Yezhou
Description
In contemporary U.S. culture, dance is often confined to the young and the trained, isolated on stages and in dance studios, and viewed as entertainment that is disconnected from "real life." Socially engaged dance practices re-connect dance to society in meaningful ways. By connecting individuals to their own bodies, to each other, to ideas, and to social, civic, and educational institutions, socially engaged dance practices use movement, the body, and the tools of participatory art, which contributes to the development of a democratic society, while catalyzing social change, and building healthy communities.
ContributorsJohnson, Elizabeth (Author) / Fitzgerald, Mary (Thesis advisor) / Standley, Eileen (Committee member) / Marshall, Alison (Committee member) / Arizona State University (Publisher)
Created2013
Description
Embodied Continuity documents the methodology of Entangled/Embraced, a dance performance piece presented December, 2011 and created as an artistic translation of research conducted January-May, 2011 in the states of Karnataka and Kerala, South India. Focused on the sciences of Ayurveda, Kalaripayattu and yoga, this research stems from an interest in body-mind connectivity, body-mind-environment continuity, embodied epistemology and the implications of ethnography within artistic practice. The document begins with a theoretical grounding covering established research on theories of embodiment; ethnographic methodologies framing research conducted in South India including sensory ethnography, performance ethnography and autoethnography; and an explanation of the sciences of Ayurveda, Kalaripayattu and yoga with a descriptive slant that emphasizes concepts of embodiment and body-mind-environment continuity uniquely inherent to these sciences. Following the theoretical grounding, the document provides an account of methods used in translating theoretical concepts and experiences emerging from research in India into the creation of the Entangled/Embraced dance work. Using dancer and audience member participation to inspire emergent meanings and maintain ethnographic consciousness, Embodied Continuity demonstrates how concepts inspiring research interests, along with ideas emerging from within research experiences, in addition to philosophical standpoints embedded in the ethnographic methodologies chosen to conduct research, weave into the entire project of Entangled/Embraced to unite the phases of research and performance, ethnography and artistry.
ContributorsRamsey, Ashlee (Author) / Vissicaro, Pegge (Thesis advisor) / Standley, Eileen (Committee member) / Dove, Simon (Committee member) / Arizona State University (Publisher)
Created2012
Description
Educed Play is a performance installation that investigates spontaneity and the invisible communication that can exist in improvisation and collaborative play. The work unites the mediums of dance, drawing, music, and video through improvisational performances. The multimedia installation entitled Educed Play was presented in the fall of 2012. Inspiration came from the idea of relics created by ephemeral interactions, using improvisation as a means to performance, and working within a genuine collaboration. This document encompasses an overview of the project.
ContributorsLing, Amanda (Author) / Kaplan, Robert (Thesis advisor) / Standley, Eileen (Committee member) / Pittsley, Janice (Committee member) / Arizona State University (Publisher)
Created2013
Description
This document serves as a discussion of and reflection on the collaborative process of rehearsing and performing arrive, create: a Dance made by Many. My intention for the work was to deconstruct the traditional performance paradigm, focusing on constructing a generous performance atmosphere. During the rehearsal process the cast collectively worked to develop an ensemble dynamic for improvisational dance making. The construct of the performance encouraged the audience to engage with the work, both physically and imaginatively through sensory interaction with objects as well as verbal conversation. This document: recalls my background in dance improvisation; explores the relationship of philosophical and dance-making practices; discusses the process of making and performing the work; discusses research data collected from participants; and reflects on the project as a whole. Topics explored include: phenomenological perspectives, ethics of care, "moving identity", dancers' sense of authorship, transparency of dance work, collaboration, dance filmmaking, and dance improvisation in performance.
ContributorsWall-MacLane, Laurel (Author) / Standley, Eileen (Thesis advisor) / Fitzgerald, Mary (Committee member) / Etheridge Woodson, Stephani (Committee member) / Arizona State University (Publisher)
Created2013
Description
The integration of yoga into the music curriculum has the potential of offering many immediate and life-long benefits to musicians. Yoga can help address issues such as performance anxiety and musculoskeletal problems, and enhance focus and awareness during musical practice and performance. Although the philosophy of yoga has many similarities to the process of learning a musical instrument, the benefits of yoga for musicians is a topic that has gained attention only recently. This document explores several ways in which the practice and philosophy of yoga can be fused with saxophone pedagogy as one way to prepare students for a healthy and successful musical career. A six-week study at Arizona State University was conducted to observe the effects of regular yoga practice on collegiate saxophone students. Nine participants attended a sixty-minute "yoga for musicians" class twice a week. Measures included pre- and post- study questionnaires as well as personal journals kept throughout the duration of the study. These self-reported results showed that yoga had positive effects on saxophone playing. It significantly increased physical comfort and positive thinking, and improved awareness of habitual patterns and breath control. Student participants responded positively to the idea of integrating such a course into the music curriculum. The integration of yoga and saxophone by qualified professionals could also be a natural part of studio class and individual instruction. Carrie Koffman, professor of saxophone at The Hartt School, University of Hartford, has established one strong model for the combination of these disciplines. Her methods and philosophy, together with the basics of Western-style hatha yoga, clinical reports on performance injuries, and qualitative data from the ASU study are explored. These inquiries form the foundation of a new model for integrating yoga practice regularly into the saxophone studio.
ContributorsAdams, Allison Dromgold (Author) / Norton, Kay (Thesis advisor) / Hill, Gary (Committee member) / McAllister, Timothy (Committee member) / Micklich, Albie (Committee member) / Standley, Eileen (Committee member) / Arizona State University (Publisher)
Created2012
Description
A Sense Of is a performance-based work that addresses the effects of the transformation of space, time, and energy through the various sensory modes. The work is an invitation to the artist's perspective of the world, which is combined with the performers' creative voices and interpretations of the artist's explorations into sensory awareness. The movement installation entitled A Sense Of was presented in November 2011. This document presents an overview of the project. It addresses relevant literature, examines the creative process used in the work, and provides an analysis of the project as a whole.
ContributorsUllom, Kathryn (Author) / Standley, Eileen (Thesis advisor) / Fitzgerald, Mary (Committee member) / Schupp, Karen (Committee member) / Klett, Mark (Committee member) / Arizona State University (Publisher)
Created2012
Description
ABSTRACT The participatory and interactive nature of the "Hearing in Color" project unites people from different walks of life. My interest lies in creating a space for people to explore their creativity, think critically, and hone their own voice in a safe and collaborative environment. I have discovered that all art forms: movement, voice, visual or digital, stimulate possibilities for expression and enable people to move forward in new directions. To this end, my project fused multiple avenues of engagement, innovative dance technology, and alternative or site-specific locations to create a community-based project aimed at promoting dialogue and enhancing ties between several groups in the Phoenix area. In this paper, I argue that a multi-layered approach to community-arts and the use of advanced technology builds bridges for diverse populations to come together to participate and learn from one another. I also maintain that community exists among all communities involved in a process of community arts, not just the participants and facilitator. When community engagement and awareness are prioritized, a multi-layered approach creates the possibilities of growth, honesty, and understanding for all people involved.
ContributorsBritt, Melissa (Author) / Fitzgerald, Mary (Thesis advisor) / Vissicaro, Pegge (Committee member) / Mitchell, John (Committee member) / Woodson, Stephani (Committee member) / Arizona State University (Publisher)
Created2010
Description
Feature embeddings differ from raw features in the sense that the former obey certain properties like notion of similarity/dissimilarity in it's embedding space. word2vec is a preeminent example in this direction, where the similarity in the embedding space is measured in terms of the cosine similarity. Such language embedding models have seen numerous applications in both language and vision community as they capture the information in the modality (English language) efficiently. Inspired by these language models, this work focuses on learning embedding spaces for two visual computing tasks, 1. Image Hashing 2. Zero Shot Learning. The training set was used to learn embedding spaces over which similarity/dissimilarity is measured using several distance metrics like hamming / euclidean / cosine distances. While the above-mentioned language models learn generic word embeddings, in this work task specific embeddings were learnt which can be used for Image Retrieval and Classification separately.
Image Hashing is the task of mapping images to binary codes such that some notion of user-defined similarity is preserved. The first part of this work focuses on designing a new framework that uses the hash-tags associated with web images to learn the binary codes. Such codes can be used in several applications like Image Retrieval and Image Classification. Further, this framework requires no labelled data, leaving it very inexpensive. Results show that the proposed approach surpasses the state-of-art approaches by a significant margin.
Zero-shot classification is the task of classifying the test sample into a new class which was not seen during training. This is possible by establishing a relationship between the training and the testing classes using auxiliary information. In the second part of this thesis, a framework is designed that trains using the handcrafted attribute vectors and word vectors but doesn’t require the expensive attribute vectors during test time. More specifically, an intermediate space is learnt between the word vector space and the image feature space using the hand-crafted attribute vectors. Preliminary results on two zero-shot classification datasets show that this is a promising direction to explore.
Image Hashing is the task of mapping images to binary codes such that some notion of user-defined similarity is preserved. The first part of this work focuses on designing a new framework that uses the hash-tags associated with web images to learn the binary codes. Such codes can be used in several applications like Image Retrieval and Image Classification. Further, this framework requires no labelled data, leaving it very inexpensive. Results show that the proposed approach surpasses the state-of-art approaches by a significant margin.
Zero-shot classification is the task of classifying the test sample into a new class which was not seen during training. This is possible by establishing a relationship between the training and the testing classes using auxiliary information. In the second part of this thesis, a framework is designed that trains using the handcrafted attribute vectors and word vectors but doesn’t require the expensive attribute vectors during test time. More specifically, an intermediate space is learnt between the word vector space and the image feature space using the hand-crafted attribute vectors. Preliminary results on two zero-shot classification datasets show that this is a promising direction to explore.
ContributorsGattupalli, Jaya Vijetha (Author) / Li, Baoxin (Thesis advisor) / Yang, Yezhou (Committee member) / Venkateswara, Hemanth (Committee member) / Arizona State University (Publisher)
Created2019
Description
The purpose of this project was to foster non-inhibited movement exploration such as the movement of untrained dancers in a setting of a music festival (specifically in this case the Grateful Dead community), into the more ritual performance-based ideals and perspectives that tend to occur in a dance studio setting. The external visual perceptions of what an ideal dancer ‘should look like’ lends itself to unrealistic expectations and unattainable goals as an artist. Body image and the lack of individualized self-expression is a problem in studio settings and the goal of this research was to use the perspective of untrained and trained dancers to dig deep into movement qualities that are not contrived or performed from ritual or preconceived notions of movement that tend to occur in trained dancers. Through exploratory improvisational somatic experiences helping the dancer access a more embodied and authentic self, the choreography was shaped through delving into the dancers lived experiences. This study culminated in a performance dance project that was filmed at Arcosanti, an experimental Artist community in Northern Arizona that integrates the design of architecture with a respect to the ecology. The goal is to limit the environmental footprint that is left by the community.
ContributorsFox, Tiffany Suzanne (Author) / Dyer, Becky (Thesis advisor) / Kaplan, Rob (Committee member) / Standley, Eileen (Committee member) / Arizona State University (Publisher)
Created2021
Description
With the substantial development of intelligent robots, human-robot interaction (HRI) has become ubiquitous in applications such as collaborative manufacturing, surgical robotic operations, and autonomous driving. In all these applications, a human behavior model, which can provide predictions of human actions, is a helpful reference that helps robots to achieve intelligent interaction with humans. The requirement elicits an essential problem of how to properly model human behavior, especially when individuals are interacting or cooperating with each other. The major objective of this thesis is to utilize the human intention decoding method to help robots enhance their performance while interacting with humans. Preliminary work on integrating human intention estimation with an HRI scenario is shown to demonstrate the benefit. In order to achieve this goal, the research topic is divided into three phases. First, a novel method of an online measure of the human's reliance on the robot, which can be estimated through the intention decoding process from human actions，is described. An experiment that requires human participants to complete an object-moving task with a robot manipulator was conducted under different conditions of distractions. A relationship is discovered between human intention and trust while participants performed a familiar task with no distraction. This finding suggests a relationship between the psychological construct of trust and joint physical coordination, which bridges the human's action to its mental states. Then, a novel human collaborative dynamic model is introduced based on game theory and bounded rationality, which is a novel method to describe human dyadic behavior with the aforementioned theories. The mutual intention decoding process was also considered to inform this model. Through this model, the connection between the mental states of the individuals to their cooperative actions is indicated. A haptic interface is developed with a virtual environment and the experiments are conducted with 30 human subjects. The result suggests the existence of mutual intention decoding during the human dyadic cooperative behaviors. Last, the empirical results show that allowing agents to have empathy in inference, which lets the agents understand that others might have a false understanding of their intentions, can help to achieve correct intention inference. It has been verified that knowledge about vehicle dynamics was also important to correctly infer intentions. A new courteous policy is proposed that bounded the courteous motion using its inferred set of equilibrium motions. A simulation, which is set to reproduce an intersection passing case between an autonomous car and a human driving car, is conducted to demonstrate the benefit of the novel courteous control policy.
ContributorsWang, Yiwei (Author) / Zhang, Wenlong (Thesis advisor) / Berman, Spring (Committee member) / Lee, Hyunglae (Committee member) / Ren, Yi (Committee member) / Yang, Yezhou (Committee member) / Arizona State University (Publisher)
Created2021