| Wetpaint: scraping through multi-layered images |
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Conference on Human Factors in Computing Systems
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Proceedings of the 27th international conference on Human factors in computing systems
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Boston, MA, USA
SESSION: Non-traditional interaction techniques
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Pages 571-574
Year of Publication: 2009
ISBN:978-1-60558-246-7
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Authors
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Leonardo Bonanni
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MIT, Cambridge, MA, USA
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Xiao Xiao
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MIT, Cambridge, MA, USA
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Matthew Hockenberry
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MIT, Cambridge, MA, USA
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Praveen Subramani
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MIT, Cambridge, MA, USA
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Hiroshi Ishii
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MIT, Cambridge, MA, USA
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Maurizio Seracini
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UCSD, San Diego, CA, USA
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Jurgen Schulze
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UCSD, San Diego, CA, USA
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ABSTRACT
We introduce a technique for exploring multi-layered images by scraping arbitrary areas to determine meaningful relationships. Our system, called Wetpaint, uses perceptual depth cues to help users intuitively navigate between corresponding layers of an image, allowing a rapid assessment of changes and relationships between different views of the same area. Inspired by art diagnostic techniques, this tactile method could have distinct advantages in the general domain as shown by our user study. We propose that the physical metaphor of scraping facilitates the process of determining correlations between layers of an image because it compresses the process of planning, comparison and annotation into a single gesture. We discuss applications for geography, design, and medicine.
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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