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The Rough Mile: Reframing Location Through Locative Audio

Hazzard, Adrian; Spence, Jocelyn; Greenhalgh, Chris; McGrath, Sean

Authors

Jocelyn Spence

Sean McGrath



Abstract

We chart the design and deployment of The Rough Mile: a multi-layered locative audio walk that blends pre-recorded spoken word, original music, and ambient environmental sound with real-time external ambient sound by employing bone conduction headphones. The design of the walking experience - set in a city centre streets - deliberately sought to explore novel mechanisms to create thematic and functional relationships between the layers of audio and attributes of the built environment, with the intention of constructing an augmented environment where the sounds of real and fictional are blurred. Twenty-six participants completed the walk describing an absorbing and well paced experience that encouraged them to view the location with an altered perspective, one that pulled aspects of the built environment and its population into the fictional story. We distil the findings and present a set of implications for the design of such locative walking experiences.

Citation

Hazzard, A., Spence, J., Greenhalgh, C., & McGrath, S. (2017). The Rough Mile: Reframing Location Through Locative Audio. In AM '17: Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences (1-8). https://doi.org/10.1145/3123514.3123540

Presentation Conference Type Conference Paper (Published)
Conference Name Audio Mostly 2017
Start Date Aug 23, 2017
End Date Aug 26, 2017
Acceptance Date May 30, 2017
Online Publication Date Aug 23, 2017
Publication Date Aug 23, 2017
Deposit Date Aug 1, 2022
Publisher Association for Computing Machinery (ACM)
Pages 1-8
Series Title ACM International Conference Proceeding Series
Book Title AM '17: Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences
ISBN 9781450353731
DOI https://doi.org/10.1145/3123514.3123540
Public URL https://nottingham-repository.worktribe.com/output/9580570
Publisher URL https://dl.acm.org/doi/10.1145/3123514.3123540


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