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dc.contributor.author Shin, Hyungyu -
dc.contributor.author Sindi, Nabila -
dc.contributor.author Lee, Yoonjoo -
dc.contributor.author Ka, Jaeryoung -
dc.contributor.author Song, Jean Y. -
dc.contributor.author Kim, Juho -
dc.date.accessioned 2023-12-26T18:14:12Z -
dc.date.available 2023-12-26T18:14:12Z -
dc.date.created 2022-04-20 -
dc.date.issued 2022-03-05 -
dc.identifier.isbn 9781450390712 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46866 -
dc.description.abstract We 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. © 2022 Owner/Author. -
dc.language English -
dc.publisher Association for Computing Machinery, Inc -
dc.title XDesign: Integrating Interface Design into Explainable AI Education -
dc.type Conference Paper -
dc.identifier.doi 10.1145/3478432.3499052 -
dc.identifier.scopusid 2-s2.0-85127431506 -
dc.identifier.bibliographicCitation Shin, Hyungyu. (2022-03-05). XDesign: Integrating Interface Design into Explainable AI Education. 53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022, 1097–1097. doi: 10.1145/3478432.3499052 -
dc.citation.conferencePlace US -
dc.citation.conferencePlace Providence, RI -
dc.citation.endPage 1097 -
dc.citation.startPage 1097 -
dc.citation.title 53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022 -
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