Designing usable electronic text: ergonomic aspects of information usage
Designing usable electronic text: ergonomic aspects of information usage
Beyond paper: supporting active reading with free form digital ink annotations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A dynamic grouping technique for ink and audio notes
Proceedings of the 11th annual ACM symposium on User interface software and technology
Computer-aided sketching to capture preliminary design
AUIC '02 Proceedings of the Third Australasian conference on User interfaces - Volume 7
Group and Individual Time Management Tools: What You Get is Not What You Need
Personal and Ubiquitous Computing
An interactive system for recognizing hand drawn UML diagrams
CASCON '00 Proceedings of the 2000 conference of the Centre for Advanced Studies on Collaborative research
Discerning Structure from Freeform Handwritten Notes
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
INTERACTING with sketched interface designs: an evaluation study
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Grouping Text Lines in Freeform Handwritten Notes
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Structuralizing digital ink for efficient selection
Proceedings of the 11th international conference on Intelligent user interfaces
Rough and ready prototypes: lessons from graphic design
CHI '92 Posters and Short Talks of the 1992 SIGCHI Conference on Human Factors in Computing Systems
Ink features for diagram recognition
SBIM '07 Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling
An extensible digital ink segmentation and classification framework for natural notetaking
Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems
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Here we report on SmartList our prototype for exploring essential features for a handwritten list program. On a freeform list, a lot of information is encoded in the layout and non-text ink: currently there is no effective pen-based computer program to support this activity. Although modern handwriting recognizers can achieve good recognition accuracy, this is not sufficient to support list making. Our prototype and its evaluation are presented in this paper. We identify accurate ink recognition as an essential element for such intelligent pen-based systems.