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dc.contributor.authorBRENNAN, ROBen
dc.contributor.editorSusan McKeever and John McAuleyen
dc.date.accessioned2018-01-09T10:51:38Z
dc.date.available2018-01-09T10:51:38Z
dc.date.created5-6th Dec 2017en
dc.date.issued2017en
dc.date.submitted2017en
dc.identifier.citationYing Wang and Rob Brennan, Building High Usability Consumer-oriented Linked Data Mobile Apps, Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2017), Dublin, 5-6th Dec 2017, Susan McKeever and John McAuley, 2017en
dc.identifier.otherYen
dc.descriptionPUBLISHEDen
dc.descriptionDublinen
dc.description.abstractThis paper identifies good practice for building high usability Linked Data mobile apps, demonstrates these practices through a prototype app for a commercial service and evaluates the usability achieved. The state of the art in mobile Linked Data technologies and design guidelines for mobile search user interfaces were reviewed and analyzed to define good practice. This paper addresses the lack of research on mobile applications using Linked Data and consumer-oriented applications of Semantic Web technology. The user study consisted of a lab-based experimental investigations and surveys of real customers. The experiments showed that it is possible for a consumer-oriented Linked Data mobile application to achieve high usability, comparable to a commercial web-based solution on desktop devices. This provides evidence that our categorization of good practices in mobile Linked Data app design has broader applicability for mobile Linked Data applications.en
dc.description.sponsorshipThis paper identifies good practice for building high usability Linked Data mobile apps, demonstrates these practices through a prototype app for a commercial service and evaluates the usability achieved. The state of the art in mobile Linked Data technologies and design guidelines for mobile search user interfaces were reviewed and analyzed to define good practice. This paper addresses the lack of research on mobile applications using Linked Data and consumer-oriented applications of Semantic Web technology. The user study consisted of a lab-based experimental investigations and surveys of real customers. The experiments showed that it is possible for a consumer-oriented Linked Data mobile application to achieve high usability, comparable to a commercial web-based solution on desktop devices. This provides evidence that our categorization of good practices in mobile Linked Data app design has broader applicability for mobile Linked Data applications.en
dc.language.isoenen
dc.rightsYen
dc.subjectLinked Data, Human Computer Interaction in AIen
dc.titleBuilding High Usability Consumer-oriented Linked Data Mobile Appsen
dc.title.alternativeIrish Conference on Artificial Intelligence and Cognitive Science (AICS 2017)en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/rbrennaen
dc.identifier.rssinternalid181153en
dc.rights.ecaccessrightsopenAccess
dc.subject.TCDThemeIntelligent Content & Communicationsen
dc.subject.TCDTagLinked Dataen
dc.identifier.rssurihttp://aics2017.dit.ie/papers/AICS2017_paper_9.pdfen
dc.identifier.orcid_id0000-0001-8236-362Xen
dc.subject.darat_thematicCommunicationen
dc.status.accessibleNen
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorGrantNumber13/RC/2106en
dc.identifier.urihttp://hdl.handle.net/2262/82149


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