Simulated Perceptual Grouping: An Application to Human-Computer Interaction

作者: Kristinn R. Thórisson

DOI:

关键词: Human–computer interactionPerceptionObject (philosophy)RankingPrinciples of groupingComputer scienceGestalt psychologyFeature (computer vision)Similarity (geometry)Function (engineering)

摘要: The perceptual principles that allow people to group visually similar objects into entities, or groups, have been called the Gestalt Laws of perception. Two well known grouping are proximity and similarity: lie close together perceived fall groups; shape, size color more likely form groups than differing along these dimensions. While primary function “laws” is help us perceive world, they also enter our communications. People can build on assumptions about each other’s perception world as a basis for simplifying discourse: example, we invariably refer collections simply by gesturing in their direction uttering “those.” current work describes an algorithm simulates parts visual mechanism at object level. system uses feature spaces simple ranking methods produce groupings. Computational aspects this described detail its enhancing multi-modal interfaces explained.

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