Conference item
Designing the audience journey through repeated experiences
- Abstract:
- We report on the design, premiere and public evaluation of a multifaceted audience interface for a complex non-linear musical performance called Climb! which is particularly suited to being experienced more than once. This interface is designed to enable audiences to understand and appreciate the work, and integrates a physical instrument and staging, projected visuals, personal devices and an online archive. A public premiere concert comprising two performances of Climb! revealed how the audience reoriented to the second performance through growing understanding and comparison to the first. Using trajectories as an analytical framework for the audience ‘journey’ made apparent: how the trajectories of a single performance are embedded within the larger trajectories of a concert and the creative work as a whole; the distinctive demands of understanding and interpretation; and the potential of the archive in enabling appreciation across repeated performances.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 1.2MB, Terms of use)
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- Publisher copy:
- 10.1145/3173574.3174142
Authors
- Publisher:
- Association for Computing Machinery
- Host title:
- CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Montreal, Canada, April 21-26, 2018
- Journal:
- ACM CHI Conference on Human Factors in Computing Systems More from this journal
- Publication date:
- 2018-04-21
- Acceptance date:
- 2018-01-08
- DOI:
- ISBN:
- 9781450356206
- Pubs id:
-
pubs:821018
- UUID:
-
uuid:08af1e1e-ead5-4160-9c1e-bb4e89fe1a5a
- Local pid:
-
pubs:821018
- Source identifiers:
-
821018
- Deposit date:
-
2018-01-23
Terms of use
- Copyright holder:
- © Association for Computing Machinery 2018
- Copyright date:
- 2018
- Notes:
- This is the author accepted manuscript following peer review version of the article. The final version is available online from Association for Computing Machinery at: 10.1145/3173574.3174142
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