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Randall Davis. Uzun, Birkan Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2017-01-12T18:18:46Z 2017-01-12T18:18:46Z 2016 2016 http://hdl.handle.net/1721.1/106388 967661365 Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (page 47). In this thesis, we present improvements to DeckAssistant, a system that provides a traditional Ouija board interface by displaying a digital rendering of an aircraft carrier deck that assists deck handlers in planning deck operations. DeckAssistant has a large digital tabletop display that shows the status of the deck and has an understanding of certain deck actions for scenario planning. To preserve the conventional way of interacting with the old-school Ouija board where deck handlers move aircraft by hand, the system takes advantage of multiple modes of interaction. Deck handlers plan strategies by pointing at aircraft, gesturing and talking to the system. The system responds with its own speech and gestures, and it updates the display to show the consequences of the actions taken by the handlers. The system can also be used to simulate certain scenarios during the planning process. The multimodal interaction described here creates a communication of sorts between deck handlers and the system. Our contributions include improvements in hand-tracking, speech synthesis and speech recognition. by Birkan Uzun. M.Eng. 48 pages eng Massachusetts Institute of Technology M.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. http://dspace.mit.edu/handle/1721.1/7582 Electrical Engineering and Computer Science. A multimodal Ouija board for aircraft carrier deck operations Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="55dec52c-409b-4072-9d60-6ca81394761c"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>A multimodal Ouija board for aircraft carrier deck operations</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2016</PublicationDate> <Authors> <Author> <DisplayName>Uzun, Birkan</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Abstract>In this thesis, we present improvements to DeckAssistant, a system that provides a traditional Ouija board interface by displaying a digital rendering of an aircraft carrier deck that assists deck handlers in planning deck operations. DeckAssistant has a large digital tabletop display that shows the status of the deck and has an understanding of certain deck actions for scenario planning. To preserve the conventional way of interacting with the old-school Ouija board where deck handlers move aircraft by hand, the system takes advantage of multiple modes of interaction. Deck handlers plan strategies by pointing at aircraft, gesturing and talking to the system. The system responds with its own speech and gestures, and it updates the display to show the consequences of the actions taken by the handlers. The system can also be used to simulate certain scenarios during the planning process. The multimodal interaction described here creates a communication of sorts between deck handlers and the system. Our contributions include improvements in hand-tracking, speech synthesis and speech recognition.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>