Department of Electrical Engineering and Computer Science
DGIST Intelligence Augmentation Group
2. Conference Papers
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| 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 | 53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022, pp.1097 | - |
| 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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