Computerized solutions in the domain of creativity and expressive performance increasingly provide art and artists with exciting new opportunities. However, the combination of automation and creativity also raises controversies and resistance in some user groups. This paper considers the case of software-generated visuals in live music performance and tries to make sense of the ambivalent response given by its intended users (i.e., DJs and VJs). We carried out seven face-to-face interviews, an online survey (N = 102) and 25 interviews at a distance to unravel DJs' and VJs' positions on automated visual software. Four core controversies were eventually identified, gravitating around the implications of using such software on DJs' and VJs' identities as artists and on their competitive advantage in their activity sector. The conclusions reconnect these findings with the larger issue of understanding the users' responses to automation.

Automation and Creativity: A Case Study of DJs' and VJs' Ambivalent Positions on Automated Visual Software

Anna Spagnolli;Diletta Mora;Matteo Fanchin;Valeria Orso;Luciano Gamberini
2020

Abstract

Computerized solutions in the domain of creativity and expressive performance increasingly provide art and artists with exciting new opportunities. However, the combination of automation and creativity also raises controversies and resistance in some user groups. This paper considers the case of software-generated visuals in live music performance and tries to make sense of the ambivalent response given by its intended users (i.e., DJs and VJs). We carried out seven face-to-face interviews, an online survey (N = 102) and 25 interviews at a distance to unravel DJs' and VJs' positions on automated visual software. Four core controversies were eventually identified, gravitating around the implications of using such software on DJs' and VJs' identities as artists and on their competitive advantage in their activity sector. The conclusions reconnect these findings with the larger issue of understanding the users' responses to automation.
2020
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
978-1-4503-6708-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3341438
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