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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/47300
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dc.contributor.authorLiapis, Antonios-
dc.contributor.authorGravina, Daniele-
dc.contributor.authorKastbjerg, Emil-
dc.contributor.authorYannakakis, Georgios N.-
dc.date.accessioned2019-10-11T08:41:24Z-
dc.date.available2019-10-11T08:41:24Z-
dc.date.issued2019-
dc.identifier.citationLiapis, A., Gravina, D., Kastbjerg, E., & Yannakakis, G. N. (2019). Modelling the quality of visual creations in Iconoscope. Proceedings of the 8th International Games and Learning Alliance Conference, Athens.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/47300-
dc.description.abstractThis paper presents the current state of the online game Iconoscope and analyzes the data collected from almost 45 months of continuous operation. Iconoscope is a freeform creation game which aims to foster the creativity of its users through diagrammatic lateral thinking, as users are required to depict abstract concepts as icons which may be misinterpreted by other users as different abstract concepts. From users' responses collected from an online gallery of all icons drawn with Iconoscope, we collect a corpus of over 500 icons which contain annotations of visual appeal. Several machine learning algorithms are tested for their ability to predict the appeal of an icon from its visual appearance and other properties. Findings show the impact of the representation on the model's accuracy and highlight how such a predictive model of quality can be applied to evaluate new icons (human-authored or generated).en_GB
dc.language.isoenen_GB
dc.publisherSpringeren_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectInternet gamesen_GB
dc.subjectCrowdsourcingen_GB
dc.subjectCreative abilityen_GB
dc.subjectMachine learningen_GB
dc.subjectArtificial intelligenceen_GB
dc.subjectProgramming softwareen_GB
dc.titleModelling the quality of visual creations in Iconoscopeen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename8th International Games and Learning Alliance Conferenceen_GB
dc.bibliographicCitation.conferenceplaceAthens, Greece, 27-29/11/2019en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1007/978-3-030-34350-7-
Appears in Collections:Scholarly Works - InsDG

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