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Department of Electrical Engineering and Computer Science
DGIST Intelligence Augmentation Group
2. Conference Papers
XDesign: Integrating Interface Design into Explainable AI Education
Shin, Hyungyu
;
Sindi, Nabila
;
Lee, Yoonjoo
;
Ka, Jaeryoung
;
Song, Jean Y.
;
Kim, Juho
Department of Electrical Engineering and Computer Science
DGIST Intelligence Augmentation Group
2. Conference Papers
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Title
XDesign: Integrating Interface Design into Explainable AI Education
Issued Date
2022-03-05
Citation
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
Type
Conference Paper
ISBN
9781450390712
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.
URI
http://hdl.handle.net/20.500.11750/46866
DOI
10.1145/3478432.3499052
Publisher
Association for Computing Machinery, Inc
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