Wetpaint: Scraping Through Multi-Layered Images
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 a...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en_US |
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Association for Computing Machinery
2011
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| Online Access: | http://hdl.handle.net/1721.1/60571 https://orcid.org/0000-0001-7525-5129 https://orcid.org/0000-0003-4918-8908 |
| _version_ | 1811084230730448896 |
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| author | Bonanni, Leonardo Amerigo Xiao, Xiao Hockenberry, Matthew Subramani, Praveen Ishii, Hiroshi Seracini, Maurizio Schulze, Jurgen |
| author2 | Program in Media Arts and Sciences (Massachusetts Institute of Technology) |
| author_facet | Program in Media Arts and Sciences (Massachusetts Institute of Technology) Bonanni, Leonardo Amerigo Xiao, Xiao Hockenberry, Matthew Subramani, Praveen Ishii, Hiroshi Seracini, Maurizio Schulze, Jurgen |
| author_sort | Bonanni, Leonardo Amerigo |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T12:47:21Z |
| format | Article |
| id | mit-1721.1/60571 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:47:21Z |
| publishDate | 2011 |
| publisher | Association for Computing Machinery |
| record_format | dspace |
| spelling | mit-1721.1/605712022-09-28T10:01:30Z Wetpaint: Scraping Through Multi-Layered Images Bonanni, Leonardo Amerigo Xiao, Xiao Hockenberry, Matthew Subramani, Praveen Ishii, Hiroshi Seracini, Maurizio Schulze, Jurgen Program in Media Arts and Sciences (Massachusetts Institute of Technology) Ishii, Hiroshi Bonanni, Leonardo Amerigo Xiao, Xiao Hockenberry, Matthew Subramani, Praveen Ishii, Hiroshi 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. 2011-01-14T16:51:22Z 2011-01-14T16:51:22Z 2009-04 2009-04 Article http://purl.org/eprint/type/ConferencePaper 978-1-60558-246-7 http://hdl.handle.net/1721.1/60571 Leonardo Bonanni, Xiao Xiao, Matthew Hockenberry, Praveen Subramani, Hiroshi Ishii, Maurizio Seracini, and Jurgen Schulze. 2009. Wetpaint: scraping through multi-layered images. In Proceedings of the 27th international conference on Human factors in computing systems (CHI '09). ACM, New York, NY, USA, 571-574. https://orcid.org/0000-0001-7525-5129 https://orcid.org/0000-0003-4918-8908 en_US http://dx.doi.org/10.1145/1518701.1518789 Proceedings of the 27th international conference on Human factors in computing systems Attribution-Noncommercial-Share Alike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Association for Computing Machinery MIT web domain |
| spellingShingle | Bonanni, Leonardo Amerigo Xiao, Xiao Hockenberry, Matthew Subramani, Praveen Ishii, Hiroshi Seracini, Maurizio Schulze, Jurgen Wetpaint: Scraping Through Multi-Layered Images |
| title | Wetpaint: Scraping Through Multi-Layered Images |
| title_full | Wetpaint: Scraping Through Multi-Layered Images |
| title_fullStr | Wetpaint: Scraping Through Multi-Layered Images |
| title_full_unstemmed | Wetpaint: Scraping Through Multi-Layered Images |
| title_short | Wetpaint: Scraping Through Multi-Layered Images |
| title_sort | wetpaint scraping through multi layered images |
| url | http://hdl.handle.net/1721.1/60571 https://orcid.org/0000-0001-7525-5129 https://orcid.org/0000-0003-4918-8908 |
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