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The black box aesthetics

Performative dynamics between artificial intelligence and human interactive staging

Datos Bibliográficos

ID15400007
AutoresLuca Befera (0000-0002-7586-1652, University of Turin, autor de correspondencia)
Año2023
Volumen19
Número2
Páginas230-246
Fecha de publicación2023-04-06
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaInternational Journal of Performance Arts and Digital Media (JOURNAL)
Identificadores de la revistaISSN: 1479-4713 • E-ISSN: 2040-0934
EditorialTaylor & Francis (PUBLISHER • GB)
DOI10.1080/14794713.2023.2196890
OpenAlexW4362677376
IdiomaEN
Citas recibidas2
Referencias citadas34

The present paper addresses a theoretical model for human-machine interaction in intermedia performance taking as reference the author’s perspective. It is discussed the role of artificial intelligence as an autonomous, pervasive, and real-time evolving entity in dialectical relation with the performer and/or audience. The convergence of physical and virtual elements suggests the emergence of hybrid systems, insofar as digital instances manifest their own agency and humans show mechanical actions linked to information processing. Three typologies of human-machine interaction are inferred: 1) the algorithm elaborates the output through self-referential data, as in Δnfang; 2) the algorithm gathers information from performed actions, as in Convergence; 3) the algorithm processes data from the audience’s reaction, as in DoPPioGioco. As digital and analogue devices are employed, programming environments are hidden from human agents and filtered through the author’s gaze. Comparing the underlying black box rules with stage setting, it is observed to what extent algorithms are mediated and enacted. The article considers the information bias commonly attributed to artificial intelligence as rooted in the aesthetic domain, with significant dramaturgical implications

Aesthetics · Agency (philosophy · Black box · Convergence (economics · Domain (mathematical analysis · Dynamics (music · Epistemology · Gaze · Human intelligence · Human–computer interaction · Performative utterance · Performing arts · Perspective (graphical · Relation (database · Representation (politics · Sociology · Visual arts · Artificial Intelligence in Games · Computer Science · Reinforcement Learning in Robotics · Theatre and Performance Studies · Artificial Intelligence

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    Eddie Hanchen Feng•Performance Research•2024

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    Antonio Pizzo, Vincenzo Lombardo et al.•TDR/The Drama Review•2019

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    Daniel Arfib, Jean-Michel Couturier et al.•Journal of New Music Research•2005

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Obras citantes distintas2
Citas por año1
Intervalo de citas2024 - 2026 (3)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 2
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