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Kandemir et al., 2012 - Google Patents

Learning relevance from natural eye movements in pervasive interfaces

Kandemir et al., 2012

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Document ID
7816970356568219799
Author
Kandemir M
Kaski S
Publication year
Publication venue
Proceedings of the 14th ACM international conference on Multimodal interaction

External Links

Snippet

We study the feasibility of the following idea: Could a system learn to use the user's natural eye movements to infer relevance of real-world objects, if the user produced a set of learning data by clicking a" relevance" button during a learning session? If the answer is yes, the …
Continue reading at dl.acm.org (PDF) (other versions)

Classifications

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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • G—PHYSICS
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    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
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    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
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    • G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
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