The evolution of patterning during movement in a large-scale citizen science game
dc.contributor.author | Hughes, AE | |
dc.contributor.author | Griffiths, D | |
dc.contributor.author | Troscianko, J | |
dc.contributor.author | Kelley, LA | |
dc.date.accessioned | 2020-12-18T09:35:40Z | |
dc.date.issued | 2021-01-13 | |
dc.description.abstract | The motion dazzle hypothesis posits that high contrast geometric patterns can cause difficulties in tracking a moving target and has been argued to explain the patterning of animals such as zebras. Research to date has only tested a small number of patterns, offering equivocal support for the hypothesis. Here, we take a genetic programming approach to allow patterns to evolve based on their fitness (time taken to capture) and thus find the optimal strategy for providing protection when moving. Our ‘Dazzle Bug’ citizen science game tested over 1.5 million targets in a touch screen game at a popular visitor attraction. Surprisingly, we found that targets lost pattern elements during evolution and became closely background matching. Modelling results suggested that targets with lower motion energy were harder to catch. Our results indicate that low contrast, featureless targets offer the greatest protection against capture when in motion, challenging the motion dazzle hypothesis. | en_GB |
dc.description.sponsorship | Royal Society | en_GB |
dc.identifier.citation | Vol. 288 (1942). article 20202823 | en_GB |
dc.identifier.doi | 10.1098/rspb.2020.2823 | |
dc.identifier.grantnumber | DH160082 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/124212 | |
dc.language.iso | en | en_GB |
dc.publisher | Royal Society | en_GB |
dc.rights | © 2021 The Authors. Open access. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. | |
dc.subject | motion dazzle | en_GB |
dc.subject | evolution | en_GB |
dc.subject | motion perception | en_GB |
dc.subject | citizen science | en_GB |
dc.subject | genetic algorithms | en_GB |
dc.title | The evolution of patterning during movement in a large-scale citizen science game | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-12-18T09:35:40Z | |
dc.identifier.issn | 0962-8452 | |
dc.description | This is the final version. Available on open access from the Royal Society via the DOI in this record | en_GB |
dc.identifier.eissn | 1471-2954 | |
dc.identifier.journal | Proceedings of the Royal Society B: Biological Sciences | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2020-12-08 | |
exeter.funder | ::Royal Society (Government) | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-12-08 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-12-18T09:20:17Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2021-03-16T09:32:39Z | |
refterms.panel | A | en_GB |
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Except where otherwise noted, this item's licence is described as © 2021 The Authors. Open access.
Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.