Audience Amplified: Virtual Audiences in Asynchronously Performed AR Theater

Audience reactions can considerably enhance live experiences; conversely, in anytime/anywhere augmented reality (AR) experiences, large crowds of people might not always be available to congregate. To get closer to simulating live events with large audiences, we created a mobile AR experience where users can wander around naturally and engage in AR theater with virtual audiences trained from real audiences using imitation learning. This allows us to carefully capture the essence of human imperfections and behavior in artificial intelligence (AI) audiences. The result is a novel mobile AR experience in which solitary AR users experience an augmented performance in a physical space with a virtual audience. Virtual dancers emerge from the surroundings, accompanied by a digitally simulated audience, to provide a community experience akin to immersive theater. In a pilot study, simulated human avatars were vastly preferred over just audience audio commentary. We subsequently engaged 20 participants as attendees of an AR dance performance, comparing a no-audience condition with a simulated audience of six onlookers. Through questionnaires and experience reports, we investigated user reactions and behavior. Our results demonstrate that the presence of virtual audience members caused attendees to perceive the performance as a social experience with increased interest and involvement in the event. On the other hand, for some attendees, the dance performances without the virtual audience evoked a stronger positive sentiment.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar62088.2024.00062
Citations
3
Primary Topic
Theatre and Performance Studies
Type
article
Field-Weighted Citation Impact
19.48

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article

Audience Amplified: Virtual Audiences in Asynchronously Performed AR Theater

You-Jin Kim, Tobias Höllerer, Misha Sra
3 citations
Theatre and Performance Studies
19.48
article

Audience Amplified: Virtual Audiences in Asynchronously Performed AR Theater

You-Jin Kim, Tobias Höllerer, Misha Sra
article en
3 citations

Abstract

Audience reactions can considerably enhance live experiences; conversely, in anytime/anywhere augmented reality (AR) experiences, large crowds of people might not always be available to congregate. To get closer to simulating live events with large audiences, we created a mobile AR experience where users can wander around naturally and engage in AR theater with virtual audiences trained from real audiences using imitation learning. This allows us to carefully capture the essence of human imperfections and behavior in artificial intelligence (AI) audiences. The result is a novel mobile AR experience in which solitary AR users experience an augmented performance in a physical space with a virtual audience. Virtual dancers emerge from the surroundings, accompanied by a digitally simulated audience, to provide a community experience akin to immersive theater. In a pilot study, simulated human avatars were vastly preferred over just audience audio commentary. We subsequently engaged 20 participants as attendees of an AR dance performance, comparing a no-audience condition with a simulated audience of six onlookers. Through questionnaires and experience reports, we investigated user reactions and behavior. Our results demonstrate that the presence of virtual audience members caused attendees to perceive the performance as a social experience with increased interest and involvement in the event. On the other hand, for some attendees, the dance performances without the virtual audience evoked a stronger positive sentiment.

University of California, Santa Barbara (US)
National Science Foundation
Openalex Percentile: Top 1%
Theatre and Performance Studies
19.48
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Audience Amplified: Virtual Audiences in Asynchronously Performed AR Theater — You-Jin Kim, Tobias Höllerer, et al. · (2024) | TGRS Research Map | TGRS