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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Todi, Kashyap
dc.contributor.author Jokinen, Jussi
dc.contributor.author Luyten, Kris
dc.contributor.author Oulasvirta, Antti
dc.date.accessioned 2018-09-06T10:16:16Z
dc.date.available 2018-09-06T10:16:16Z
dc.date.issued 2018-03-05
dc.identifier.citation Todi , K , Jokinen , J , Luyten , K & Oulasvirta , A 2018 , Familiarisation : Restructuring layouts with visual learning models . in IUI 2018 - Proceedings of the 23rd International Conference on Intelligent User Interfaces . vol. Part F135193 , ASSOCIATION FOR COMPUTING MACHINERY , pp. 547-558 , International Conference on Intelligent User Interfaces , Tokyo , Japan , 07/03/2018 . DOI: 10.1145/3172944.3172949 en
dc.identifier.isbn 9781450349451
dc.identifier.other PURE UUID: 537e00e9-49be-4c03-b1e4-9c17c17b3c52
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/familiarisation(537e00e9-49be-4c03-b1e4-9c17c17b3c52).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85045467599&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/19265643/FamiliarisationIUI2018.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/33853
dc.description | openaire: EC/H2020/637991/EU//COMPUTED
dc.description.abstract In domains where users are exposed to large variations in visuo-spatial features among designs, they often spend excess time searching for common elements (features) in familiar locations. This paper contributes computational approaches to restructuring layouts such that features on a new, unvisited interface can be found quicker. We explore four concepts of familiarisation, inspired by the human visual system (HVS), to automatically generate a familiar design for each user. Given a history of previously visited interfaces, we restructure the spatial layout of the new (unseen) interface with the goal of making its elements more easily found. Familiariser is a browser-based implementation that automatically restructures webpage layouts based on the visual history of the user. Our evaluation with users provides first evidence favouring familiarisation. en
dc.format.extent 12
dc.format.extent 547-558
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation info:eu-repo/grantAgreement/EC/H2020/637991/EU//COMPUTED
dc.relation.ispartof International Conference on Intelligent User Interfaces en
dc.relation.ispartofseries IUI 2018 - Proceedings of the 23rd International Conference on Intelligent User Interfaces en
dc.relation.ispartofseries Volume Part F135193 en
dc.rights openAccess en
dc.subject.other Software en
dc.subject.other Human-Computer Interaction en
dc.subject.other 113 Computer and information sciences en
dc.title Familiarisation en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Communications and Networking
dc.contributor.department Hasselt University
dc.subject.keyword Adaptive user interfaces
dc.subject.keyword Computational design
dc.subject.keyword Graphical layouts
dc.subject.keyword Visual search
dc.subject.keyword Software
dc.subject.keyword Human-Computer Interaction
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201809064964
dc.identifier.doi 10.1145/3172944.3172949
dc.type.version publishedVersion

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