Sketching for knowledge capture: A progress report

Kenneth D Forbus*, Jeffrey Usher

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

42 Scopus citations

Abstract

Many concepts and situations are best explained by sketching. This paper describes our work on sKEA, the sketching Knowledge Entry Associate, a system designed for knowledge capture via sketching. We discuss the key ideas of sKEA: blob semantics for glyphs to sidestep recognition for visual symbols, qualitative spatial reasoning to provide richer visual and conceptual understanding of what is being communicated, arrows to express domain relationships, layers to express within-sketch segmentation (including a meta-layer to express subsketch relationships themselves via sketching), and analogical comparison to explore similarities and differences between sketched concepts. Experiences with sKEA to date and future plans are also discussed.

Original languageEnglish (US)
Pages71-78
Number of pages8
StatePublished - Jan 1 2002
Event2002 International Conference on intelligent User Interfaces (IUI 02) - San Francisca, CA, United States
Duration: Jan 13 2002Jan 16 2002

Other

Other2002 International Conference on intelligent User Interfaces (IUI 02)
CountryUnited States
CitySan Francisca, CA
Period1/13/021/16/02

Keywords

  • Analogy
  • Artificial Intelligence Sketching
  • Diagrammatic reasoning
  • Knowledge acquisition
  • Qualitative modeling
  • Sketch understanding
  • Spatial reasoning

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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