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Wetpaint
Leonardo Bonanni, Xiao Xiao, Matthew Hockenberry, Praveen Subramani, Maurizio Seracini, Hiroshi Ishii
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. Scraping through image layers can be faster than
comparing layers through half-transparency, especially
when there are more than two layers or when the layers are
distinct. 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 future work and applications for geography,
design, and medicine.
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