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Locating experience: touring a pervasive performance

Chamberlain, Alan; Oppermann, Leif; Flintham, Martin; Benford, Steve; Tolmie, Peter; Adams, Matt; Row Farr, Ju; Tandavanitj, Nick; Marshall, Joe; Rodden, Tom

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Authors

Leif Oppermann

Profile image of STEVE BENFORD

STEVE BENFORD steve.benford@nottingham.ac.uk
Dunford Chair in Computer Science

Peter Tolmie

Matt Adams

Ju Row Farr

Nick Tandavanitj

TOM RODDEN TOM.RODDEN@NOTTINGHAM.AC.UK
Pro-Vice-Chancellor of Research & Knowledge Exchange



Abstract

Touring location-based experiences is chal- lenging, as both content and underlying location services must be adapted to each new setting. A study of a touring performance called Rider Spoke as it visited three different cities reveals how professional artists developed a novel approach to these challenges in which users drove the co- evolution of content and the underlying location service as they explored each new city. We show how the artists iteratively developed filtering, survey, visualization, and simulation tools and processes to enable them to tune the experience to the local characteristics of each city. Our study reveals how by paying attention to both content and infrastructure issues in tandem, the artists were able to create a powerful user experience that has since toured to many different cities.

Citation

Chamberlain, A., Oppermann, L., Flintham, M., Benford, S., Tolmie, P., Adams, M., Row Farr, J., Tandavanitj, N., Marshall, J., & Rodden, T. (2011). Locating experience: touring a pervasive performance. Personal and Ubiquitous Computing, 15, 717–730. https://doi.org/10.1007/s00779-010-0351-3

Journal Article Type Article
Publication Date Jun 3, 2011
Deposit Date Nov 3, 2024
Publicly Available Date Nov 6, 2024
Journal Personal and Ubiquitous Computing
Print ISSN 1617-4909
Electronic ISSN 1617-4917
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 15
Pages 717–730
DOI https://doi.org/10.1007/s00779-010-0351-3
Keywords Location-based performance, Cycling, Adaptation, Wi-Fi fingerprinting, Seams, User generated content , Rider Spoke
Public URL https://nottingham-repository.worktribe.com/output/23491530
Publisher URL https://link.springer.com/article/10.1007/s00779-010-0351-3

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