Show simple item record

1st Workshop on Context Representation in User Modelling

dc.contributor.authorJeromela, Jovanen
dc.contributor.authorConlan, Owenen
dc.date.accessioned2023-10-02T10:10:24Z
dc.date.available2023-10-02T10:10:24Z
dc.date.created26-30 June, 2023en
dc.date.issued2023en
dc.date.submitted2023en
dc.identifier.citationJovan Jeromela, Dipto Barma, Hassan Zaal, Alok Debnath, Awais Akbar, Judy Kay, Owen Conlan, 1st Workshop on Context Representation in User Modelling, UMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, The 31st ACM Conference on User Modeling, Adaptation and Personalization, Limassol, Cyprus, 26-30 June, 2023, Association for Computing Machinery, New York, NY, USA, 2023, 174 - 176en
dc.identifier.otherYen
dc.descriptionPUBLISHEDen
dc.descriptionA workshop summaryen
dc.descriptionLimassol, Cyprusen
dc.description.abstractContext, a critical aspect of personalisation and human-computer interaction, is becoming increasingly significant with the prolif- eration of user-centric applications. The First ACM Workshop on Context Representation in User Modelling (CRUM 2023), organised in conjunction with the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2023), provided a venue for research in the representation and utilisation of contextual informa- tion in intelligent systems. The workshop aimed to bring together researchers from various disciplines, including natural language processing, user modelling, explainable systems, and human-robot interaction and to facilitate conversation about the role of context in adaptive applications. The prospective authors were invited to submit papers of up to seven pages, four of which were accepted for publication and are introduced in this summaryen
dc.description.sponsorshipThis publication has emanated from research conducted with the fi- nancial support of Science Foundation Ireland under Grant number 18/CRT/6223 and with the financial support of the Science Foun- dation Ireland Centre for Research Training in Digitally-Enhanced Reality (D-real) under Grant No. 18/CRT/6224. The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation pro- gramme under grant agreement No. 861091. The publication reflects the views only of the authors, and the European Union cannot be held responsible for any use which may be made of the information contained therein. This research was conducted with the financial support of Sci- ence Foundation Ireland under Grant Agreement No. 13/RC/2106_P2 at the ADAPT SFI Research Centre at Trinity College Dublin. ADAPT, the SFI Research Centre for AI-Driven Digital Content Technology, is funded by Science Foundation Ireland through the SFI Research Centres Programme.en
dc.format.extent174en
dc.format.extent176en
dc.language.isoenen
dc.publisherAssociation for Computing Machinery, New York, NY, USAen
dc.rightsYen
dc.subjectadaptation, context, data representation, personalisation, control, scrutabilityen
dc.title1st Workshop on Context Representation in User Modellingen
dc.title.alternativeUMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalizationen
dc.title.alternativeThe 31st ACM Conference on User Modeling, Adaptation and Personalizationen
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/jeromeljen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/owconlanen
dc.identifier.rssinternalid259042en
dc.identifier.doihttp://dx.doi.org/10.1145/3563359.3595624en
dc.relation.ecprojectidinfo:eu-repo/grantAgreement/EC/FP7/Horizon 2020, 861091
dc.rights.ecaccessrightsopenAccess
dc.subject.TCDTagArtificial Intelligenceen
dc.subject.TCDTagComputer Scienceen
dc.subject.TCDTagHuman computer interactionsen
dc.subject.TCDTagKnowledge Managementen
dc.subject.TCDTagUbiquitous Computingen
dc.identifier.rssurihttps://doi.org/10.1145/3563359.3595624en
dc.status.accessibleNen
dc.contributor.sponsorEuropean Union (EU)en
dc.contributor.sponsorGrantNumberHorizon 2020, 861091en
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorGrantNumber18/CRT/6224en
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorGrantNumber18/CRT/6223en
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorGrantNumber13/RC/2106_P2en
dc.identifier.urihttp://hdl.handle.net/2262/103933


Files in this item

Thumbnail
Name:
CRUM_UMAP_Summary_CameraReady.pdf
Size:
380.1Kb
Format:
PDF
Description:
Accepted for publication (author's ...
View/Open
Thumbnail
Name:
license.txt
Size:
3.163Kb
Format:
Text file
View/Open

This item appears in the following Collection(s)

Show simple item record