Auto-play : the automation of performance action, writing, and control

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Abstract/Contents

Abstract
This dissertation discusses a series of artists who, throughout the twentieth and early twenty-first centuries, have attempted to automate theatrical processes. Offering a model of "automaticity" as disintermediation and opacity, encompassing the traditions of both automatism and automation, I argue that thinkers of the theater have long juxtaposed automaticity with theatricality. However, as my case studies demonstrate, the automatic and the theatrical can indeed be integrated. Abstract action has been mechanized, dances have been computationally scored, and backstage control has been automated. I analyze performance practices of artists from the avant-garde canon, from experimental margins, and from the commercial mainstream: central figures include Raymond Roussel, László Moholy-Nagy, Jeanne Beaman, Analívia Cordeiro, Frederick Bentham, and Robert Wilson. Throughout, I explore the liberal and neoliberal politics of automaticity, consider the images of femininity and blackness attached to the automatic, and conclude that the conjunction of automaticity and theatricality is dominant within contemporary stage practice and social relations

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2020; ©2020
Publication date 2020; 2020
Issuance monographic
Language English

Creators/Contributors

Author Eacho, Douglas
Degree supervisor Jakovljević, Branislav
Thesis advisor Jakovljević, Branislav
Thesis advisor Moreton-Robinson, Aileen
Thesis advisor Smith, Matthew Wilson
Degree committee member Moreton-Robinson, Aileen
Degree committee member Smith, Matthew Wilson
Associated with Stanford University, Department of Theater and Performance Studies.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Douglas Eacho
Note Submitted to the Department of Theater and Performance Studies
Thesis Thesis Ph.D. Stanford University 2020
Location electronic resource

Access conditions

Copyright
© 2020 by Douglas Eacho
License
This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).

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