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dc.contributor.advisorRandall Davis.en_US
dc.contributor.authorAcquah, Kojo (Kojo F.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2015-12-16T16:32:35Z
dc.date.available2015-12-16T16:32:35Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/100330
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (page 70).en_US
dc.description.abstractIn this thesis, I present DeckAssistant, a novel interface for planning aircraft carrier deck operations. DeckAssistant is an intelligent, multimodal aircraft carrier Ouija Board. DeckAssistant's design is inspired by traditional Ouija Boards, featuring a large digital tabletop display with a scale model of an aircraft carrier deck and aircraft. Users plan aircraft operations by using this interface to mock situations on deck. Unlike traditional Ouija Board technology, DeckAssistant is designed to contribute to the planning process. We enable DeckAssistant with a basic understanding of deck operations and add multimodal functionality to our system. Users manipulate our model of the deck by issuing commands using speech and gestures. The system responds to users with its own synthesized speech and graphics. The result is a conversation of sorts between users and the Ouija Board as they work together to accomplish tasks.en_US
dc.description.statementofresponsibilityby Kojo Acquah.en_US
dc.format.extent71 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleTowards a multimodal Ouija Board for aircraft carrier deck operationsen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc930609195en_US


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