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Genre: Conference papers and proceedings
Genre: Interactive multimedia--Health aspects.
Genre: Music--Arizona--20th century--History and criticism.

An ethnology of Arizona early music performers in the twentieth century

Description

ABSTRACT A cultural overview of the so-called "early music movement" in Arizona, specifically the musicians who performed early music in the mid-to-late twentieth century, has never been undertaken. In applying ethnographic methods to Western art music, Kay Kaufman Shelemay suggests, in her 2001 article, "Toward an Ethnomusicology of the Early Music Movement," that a musical anthropology "would seem to hold great potential for the study of `Western music.'" In this paper I analyze and discuss issues related to "early music" in Arizona from roughly 1960 to 2008. In focusing primarily on the musicians themselves, I address issues in three primary areas: 1) the repertory and the so-called "early music revival;" 2) specific types of early music which have been presented in Arizona and the effects of economic factors; and 3) Arizona musicians' attitudes toward the repertory and their motivations for specializing in it. I then analyze Arizona musicians' involvement with both the early music repertory itself and with the community, identifying how musicians were exposed to early music and whether or not those first exposures began a long-lasting involvement with the repertory. In this section I also describe ways in which musicians define early music for themselves as well as analyze more critical areas such as musicians' formation of an "early music identity." I also asked informants to discuss how they see early music as being fundamentally different from other types of "classical" music and how they view their own places in that community of "difference." Finally, I compare musicians' thoughts on the "transformative" effect that some early music can have on performers and listeners and how that effect compares with similar phenomena in other types of Western art music.

ContributorsDe Fazio, James M (Author) / Haefer, John R (Thesis advisor) / Solis, Theodore (Committee member) / Saucier, Catherine (Committee member) / Arizona State University (Publisher)

Created2010

Evaluating artificial social intelligence in an urban search and rescue task environment

Description

Human team members show a remarkable ability to infer the state of their partners and anticipate their needs and actions. Prior research demonstrates that an artificial system can make some predictions accurately concerning artificial agents. This study investigated whether an artificial system could generate a robust Theory of Mind of human teammates. An urban search and rescue (USAR) task environment was developed to elicit human teamwork and evaluate inference and prediction about team members by software agents and humans. The task varied team members’ roles and skills, types of task synchronization and interdependence, task risk and reward, completeness of mission planning, and information asymmetry. The task was implemented in MinecraftTM and applied in a study of 64 teams, each with three remotely distributed members. An evaluation of six Artificial Social Intelligences (ASI) and several human observers addressed the accuracy with which each predicted team performance, inferred experimentally manipulated knowledge of team members, and predicted member actions. All agents performed above chance; humans slightly outperformed ASI agents on some tasks and significantly outperformed ASI agents on others; no one ASI agent reliably outperformed the others; and the accuracy of ASI agents and human observers improved rapidly though modestly during the brief trials.

ContributorsFreeman, Jared T. (Author) / Huang, Lixiao (Author) / Woods, Matt (Author) / Cauffman, Stephen J. (Author)

Created2021-11-04

Comprehensive interactive neurorehabilitation system design and implementation through the application of interdisciplinary research and integrated design approaches

Description

Stroke is a leading cause of disability with varying effects across stroke survivors necessitating comprehensive approaches to rehabilitation. Interactive neurorehabilitation (INR) systems represent promising technological solutions that can provide an array of sensing, feedback and analysis tools which hold the potential to maximize clinical therapy as well as extend therapy to the home. Currently, there are a variety of approaches to INR design, which coupled with minimal large-scale clinical data, has led to a lack of cohesion in INR design. INR design presents an inherently complex space as these systems have multiple users including stroke survivors, therapists and designers, each with their own user experience needs. This dissertation proposes that comprehensive INR design, which can address this complex user space, requires and benefits from the application of interdisciplinary research that spans motor learning and interactive learning. A methodology for integrated and iterative design approaches to INR task experience, assessment, hardware, software and interactive training protocol design is proposed within the comprehensive example of design and implementation of a mixed reality rehabilitation system for minimally supervised environments. This system was tested with eight stroke survivors who showed promising results in both functional and movement quality improvement. The results of testing the system with stroke survivors as well as observing user experiences will be presented along with suggested improvements to the proposed design methodology. This integrative design methodology is proposed to have benefit for not only comprehensive INR design but also complex interactive system design in general.

ContributorsBaran, Michael (Author) / Rikakis, Thanassis (Thesis advisor) / Olson, Loren (Thesis advisor) / Wolf, Steven L. (Committee member) / Ingalls, Todd (Committee member) / Arizona State University (Publisher)

Created2014