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 language | English (US) |
|---|---|
| Pages | 71-78 |
| Number of pages | 8 |
| State | Published - 2002 |
| Event | 2002 International Conference on intelligent User Interfaces (IUI 02) - San Francisca, CA, United States Duration: Jan 13 2002 → Jan 16 2002 |
Other
| Other | 2002 International Conference on intelligent User Interfaces (IUI 02) |
|---|---|
| Country/Territory | United States |
| City | San Francisca, CA |
| Period | 1/13/02 → 1/16/02 |
Keywords
- Analogy
- Artificial Intelligence Sketching
- Diagrammatic reasoning
- Knowledge acquisition
- Qualitative modeling
- Sketch understanding
- Spatial reasoning
ASJC Scopus subject areas
- Software
- Human-Computer Interaction