|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 Evolutionary Algorithm|
|Citation:||Brownlee AEI, Kim S, Wang S, Chan S & Lawson JA (2019) Crowd-Sourcing the Sounds of Places with a Web-Based Evolutionary Algorithm. In: GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019: The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: ACM, pp. 131-132. 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:||© ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019: The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: ACM, pp. 131-132 http://doi.acm.org/10.1145/3319619.3322028|
|Crowd_Sourcing_the_Sounds_of_Places_with_a_Web_Based_Genetic_Algorithm___2_pages_for_repo.pdf||Fulltext - Accepted Version||79.05 kB||Adobe PDF||View/Open|
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.