2026-09-19T14:41:12Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1003302026-06-06T00:56:23Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Randall Davis.
Acquah, Kojo (Kojo F.)
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2015-12-16T16:32:35Z
2015-12-16T16:32:35Z
2015
2015
http://hdl.handle.net/1721.1/100330
930609195
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 70).
In 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.
by Kojo Acquah.
M.Eng.
71 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.
Towards 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="f8a43432-cb43-4d54-8d38-16ac277db95a">
<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>Towards a multimodal Ouija Board for aircraft carrier deck operations</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2015</PublicationDate>
<Authors>
<Author>
<DisplayName>Acquah, Kojo (Kojo F.)</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, 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.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>