Traditional grid and list representations of image search results are the dominant interaction paradigms that users face on a daily basis, yet it is unclear that such paradigms are well-suited for experiences where the user’s task is to browse images for leisure, to discover new information or to seek particular images to represent ideas. We introduce ImageFlow, a novel image search user interface that explores a different alternative to the traditional presentation of image search results. ImageFlow presents image results on a canvas where we map semantic features (e.g., relevance, related queries) to the canvas’ spatial dimensions (e.g., x, y, z) in a way that allows for several levels of engagement \u2013 from passively viewing a stream of images, to seamlessly navigating through the semantic space and actively collecting images for sharing and reuse. We have implemented our system as a fully functioning prototype, and we report on promising, preliminary usage results.<\/p>\n","protected":false},"excerpt":{"rendered":"
Traditional grid and list representations of image search results are the dominant interaction paradigms that users face on a daily basis, yet it is unclear that such paradigms are well-suited for experiences where the user’s task is to browse images for leisure, to discover new information or to seek particular images to represent ideas. 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