Publication:
The relevance of universal metrics in relation to human aesthetic perception

dc.citedby2
dc.contributor.authorIqbal A.en_US
dc.contributor.authorid14012935800en_US
dc.date.accessioned2023-12-29T07:50:06Z
dc.date.available2023-12-29T07:50:06Z
dc.date.issued2010
dc.description.abstractA computational aesthetics model developed for the game of international chess showed a good and positive correlation with human player aesthetic assessment. The unique approach taken here suggests that, in addition to things like personal taste and environmental factors, humans also likely assess beauty based on 'universal metrics' within the domain itself. From the standpoint of artificial intelligence (AI), this means that weights for aesthetic features need not, for example, be determined by analyzing a particular data set of aestheticallyrated objects, or through consultation with human experts. Instead, certain metrics can be used as 'building blocks' to formalize aesthetic principles or features in a logical and dynamic way. This is arguably an improvement over existing methods. The aesthetics model developed is explained and relevant experimental results are presented. The importance of universal metrics in the aesthetics of chess and other domains is also explored.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5716144
dc.identifier.doi10.1109/ICIAS.2010.5716144
dc.identifier.scopus2-s2.0-79952749561
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79952749561&doi=10.1109%2fICIAS.2010.5716144&partnerID=40&md5=8e1b6262ce3275fa989f89a04a85aa50
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30602
dc.sourceScopus
dc.sourcetitle2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010
dc.subjectAesthetics
dc.subjectArt
dc.subjectArtificial intelligence
dc.subjectChess
dc.subjectMetrics
dc.subjectPerception
dc.subjectAesthetics
dc.subjectArt
dc.subjectChess
dc.subjectMetrics
dc.subjectPerception
dc.subjectArtificial intelligence
dc.titleThe relevance of universal metrics in relation to human aesthetic perceptionen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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