Design fiction for mixed-reality performances

Rostami, Asreen, Rossitto, Chiara, Barkhuus, Louise, Hook, Jonathan, Laaksolahti, Jarmo, Taylor, Robyn, McMillan, Donald, Spence, Jocelyn and Williamson, Julie (2017) Design fiction for mixed-reality performances. In: 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '17), 6-11 May 2017, Denver, Colorado, USA.

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Abstract

Designing for mixed-reality performances is challenging both in terms of technology design, and in terms of understanding the interplay between technology, narration, and (the outcomes of) audience interactions. This complexity also stems from the variety of roles in the creative team often entailing technology designers, artists, directors, producers, set-designers and performers. In this multidisciplinary, one-day workshop, we seek to bring together HCI scholars, designers, artists, and curators to explore the potential provided by Design Fiction as a method to generate ideas for Mixed-Reality Performance (MRP) through various archetypes including scripts, programs, and posters. By drawing attention to novel interactive technologies, such as bio-sensors and environmental IoT, we seek to generate design fiction scenarios capturing the aesthetic and interactive potential for mixed-reality performances, as well as the challenges to gain access to audience members’ data – i.e. physiological states, daily routines, conversations, etc.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/859446
Additional Information: Published in: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '17), p. 498-505. New York : ACM, 2017. ISBN 978-1-4503-4656-6. doi:10.1145/3027063.3027080
Keywords: Mixed-Reality Performance; Design Fiction; Audience Participation; Bio-sensors; Internet of Things (IoT)
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1145/3027063.3027080
Depositing User: Eprints, Support
Date Deposited: 09 Aug 2017 09:40
Last Modified: 04 May 2020 18:44
URI: https://eprints.nottingham.ac.uk/id/eprint/44792

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