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Pen-top feedback for paper-based interfaces
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Source Symposium on User Interface Software and Technology archive
Proceedings of the 19th annual ACM symposium on User interface software and technology table of contents
Montreux, Switzerland
SESSION: Pen & paper table of contents
Pages: 201 - 210  
Year of Publication: 2006
ISBN:1-59593-313-1
Authors
Chunyuan Liao  University of Maryland, College Park, MD
François Guimbretière  University of Maryland, College Park, MD
Corinna E. Loeckenhoff  Gerontology Research Center, Baltimore, MD
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 8
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APPENDICES and SUPPLEMENTS
Zipp201-slides.zip (17.71 MB),
Supplemental material for Pen-top feedback for paper-based interfaces


ABSTRACT

Current paper-based interfaces such as PapierCraft, provide very little feedback and this limits the scope of possible interactions. So far, there has been little systematic exploration of the structure, constraints, and contingencies of feedback-mechanisms in paper-based interaction systems for paper-only environments. We identify three levels of feedback: discovery feedback (e.g., to aid with menu learning), status-indication feedback (e.g., for error detection), and task feedback (e.g., to aid in a search task). Using three modalities (visual, tactile, and auditory) which can be easily implemented on a pen-sized computer, we introduce a conceptual matrix to guide systematic research on pen-top feedback for paper-based interfaces. Using this matrix, we implemented a multimodal pen prototype demonstrating the potential of our approach. We conducted an experiment that confirmed the efficacy of our design in helping users discover a new interface and identify and correct their errors.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Campbell, C. S., S. Zhai, K. W. May, and P. P. Maglio. What You Feel Must Be What You See: Adding Tactile Feedback to the Trackpoint. Proceedings of INTERACT'99, pp. 383--390.
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CITED BY  8

Collaborative Colleagues:
Chunyuan Liao: colleagues
François Guimbretière: colleagues
Corinna E. Loeckenhoff: colleagues