XDesign: Integrating Interface Design into Explainable AI Education

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dc.contributor.authorShin, Hyungyuko
dc.contributor.authorSindi, Nabilako
dc.contributor.authorLee, Yoonjooko
dc.contributor.authorKa, Jaeryoungko
dc.contributor.authorSong, Jean Yko
dc.contributor.authorKim, Juhoko
dc.date.accessioned2022-10-06T08:00:31Z-
dc.date.available2022-10-06T08:00:31Z-
dc.date.created2022-09-27-
dc.date.created2022-09-27-
dc.date.created2022-09-27-
dc.date.issued2022-03-03-
dc.identifier.citation53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022-
dc.identifier.urihttp://hdl.handle.net/10203/298892-
dc.description.abstractWe introduce XDesign, a web-based interactive platform that guides learners through a multi-stage design process for creating user-centered explanations of AI models. Results from a course deployment show that students were able to identify concrete user needs in interacting with explanations, highlight user tasks to support the needs, and design a user interface that aids the tasks.-
dc.languageEnglish-
dc.publisherAssociation for Computing Machinery, Inc-
dc.titleXDesign: Integrating Interface Design into Explainable AI Education-
dc.typeConference-
dc.identifier.wosid000947124200051-
dc.identifier.scopusid2-s2.0-85127431506-
dc.type.rimsCONF-
dc.citation.publicationname53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationVirtual-
dc.identifier.doi10.1145/3478432.3499052-
dc.contributor.localauthorKim, Juho-
dc.contributor.nonIdAuthorSindi, Nabila-
dc.contributor.nonIdAuthorKa, Jaeryoung-
dc.contributor.nonIdAuthorSong, Jean Y-
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CS-Conference Papers(학술회의논문)
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