Social Flow: social connectedness and flow in participatory art
Gingrich, Oliver ORCID: 0000-0002-1656-0032 , Hignell-Tully, Daniel and Rahman, Shama (2023) Social Flow: social connectedness and flow in participatory art. In: KONFERENZBAND PROCEEDINGS EVA BERLIN 2023: Elektronische Medien & Kunst, Kultur und Historie, 29th Nov - 1st Dec 2023. 27. Berliner Veranstaltung der internationalen EVA-Serie Electronic Media and Visual Arts . Kunstgewerbemuseum am Kulturforum Potsdamer Platz, Berlin Eine Kooperation zwischen der BTU Brandenburgische Technische Universität Cottbus-Senftenberg, den Staatlichen Museen zu Berlin - Preußischer Kulturbesitz, Berlin, pp. 14-25. ISBN 978-3886098910
|
PDF (Published conference proceedings)
46663_GINGRICH_Social_Flow_Social_connectedness_and_flow_in_participatory_art.pdf - Published Version Download (355kB) | Preview |
Abstract
Zeitgeist - a participatory artwork developed by the researcher/artists Dr Shama Rahman and Dr Olive Gingrich, uses deep-learning algorithms to indicate creative ‘Flow’ mental states visualised on a holographic Pepper’s ghost display. Based on real-time analysis of physiological brainwave data through deep-learning algorithms, participants visually experience the probability of being in Flow - a mental state of creative peak performance (Nakamura & Csikszentmihalyi, 2002). Forming part of the AHRC-funded p_ART_icipate research project, this research looks at the effect of participatory arts on social connectedness and mental well-being. A small-scale pilot user study (n=12), points to a significant effect of the intervention on social connectedness, mood and flow - with facilitation being a potential confounding factor. This paper presents the findings of this initial pilot study, as well as a discussion around co-factors of social flow.
Item Type: | Conference Proceedings |
---|---|
Title of Proceedings: | KONFERENZBAND PROCEEDINGS EVA BERLIN 2023: Elektronische Medien & Kunst, Kultur und Historie, 29th Nov - 1st Dec 2023 |
Uncontrolled Keywords: | inclusion; visualisation; Artificial Intelligence |
Subjects: | H Social Sciences > H Social Sciences (General) N Fine Arts > N Visual arts (General) For photography, see TR N Fine Arts > NC Drawing Design Illustration |
Faculty / School / Research Centre / Research Group: | Faculty of Liberal Arts & Sciences Faculty of Liberal Arts & Sciences > School of Design (DES) |
Last Modified: | 10 Apr 2024 09:21 |
URI: | http://gala.gre.ac.uk/id/eprint/46663 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year