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XDesign: Integrating Interface Design into Explainable AI Education

Title
XDesign: Integrating Interface Design into Explainable AI Education
Author(s)
Shin, HyungyuSindi, NabilaLee, YoonjooKa, JaeryoungSong, Jean Y.Kim, Juho
Issued Date
2022-03-05
Citation
53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022, pp.1097
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
Related Researcher
  • 송진영 Song, Jean Young
  • Research Interests 인간-기계 상호작용; 인간-AI 상호작용; 크라우드소싱; 인공지능 데이터셋; 컴퓨터비전; Human-Computer Interaction; Artificial Intelligence; Human-AI Collaboration; Crowdsourcing; Computer Vision
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Appears in Collections:
Department of Electrical Engineering and Computer Science DGIST Intelligence Augmentation Group 2. Conference Papers

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