|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Author(s):||Brownlee, Alexander E I|
Lawson, Jamie A
|Title:||Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm (Forthcoming)|
|Citation:||Brownlee AEI, Kim S, Wang S, Chan S & Lawson JA (2019) Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm (Forthcoming). In: Proceedings of the Conference on Genetic and Evolutionary Computation Conference. GECCO 2019: The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: ACM. https://doi.org/10.1145/3319619.3322028|
|Conference Name:||GECCO 2019: The Genetic and Evolutionary Computation Conference|
|Conference Dates:||2019-07-13 - 2019-07-17|
|Conference Location:||Prague, Czech Republic|
|Abstract:||The sounds we associate with particular places are tightly interwoven with our memories and sense of belonging. We describe a platform designed to assist in gathering the sounds a group of people associate with a place. A web-based evolutionary algorithm, with human-in-the-loop fitness evaluations, ranks and recombines sounds to find collections that the group rates as familiar. An experiment covering four geographical locations shows that the process does indeed find sounds deemed familiar by participants.|
|Status:||AM - Accepted Manuscript|
|Rights:||This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
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