{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/19232"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/19232","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Perceptual interpretation and the transformation of events into language","abstract":"This thesis describes the principles underlying PIXEL (for Perceptual Interpretation and the Trans(X)formation of Events into Language), a system that uses focus of attention in generating and learning natural language descriptions of event perceptions. PIXEL identifies the salient features of events through cooperation between processes that are perceptually bottom-up and linguistically top-down. As events are perceived, data-driven attention guides event schemata generation, prediction, and selection. 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Finally, it illustrates that data-driven and goal-driven attention can combine to facilitate learning under perceptual or linguistic control.","The domain of this research is a space station in low-earth orbit. In particular, the problem of real-time communication between astronauts and teleoperated robotic servicing systems that assist in assembly, maintenance, and inspection tasks is addressed.","Made available in DSpace on 2011-05-07T12:01:04Z (GMT). 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