2026-09-20T21:55:22Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/551282022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Randy Davis.
Correa, Andrew (Andrew Thomas)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2010-05-25T20:51:15Z
2010-05-25T20:51:15Z
2009
2009
http://hdl.handle.net/1721.1/55128
593915252
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 109-111).
This thesis introduces the idea that combining sketch recognition with contextual data-information about what is being drawn on-can improve the recognition of meaning in sketch and enrich the user interaction experience. I created a language called StepStool that facilitates the description of the relationship between digital ink and contextual data, and wrote the corresponding interpreter that enables my system to distinguish between gestural commands issued to an autonomous forklift. A user study was done to compare the correctness of a sketch interface with and without context on the canvas. This thesis coins the phrase "Drawing on the World" to mean contextual sketch recognition, describes the implementation and methodology behind "Drawing on the World", describes the forklift's interface, and discusses other possible uses for a contextual gesture recognizer. Sample code is provided that describes the specifics of the StepStool engine's implementation and the implementation of the forklift's interface.
by Andrew Correa.
S.M.
111 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Drawing on the World: sketch in context
Thesis
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<Abstract>This thesis introduces the idea that combining sketch recognition with contextual data-information about what is being drawn on-can improve the recognition of meaning in sketch and enrich the user interaction experience. I created a language called StepStool that facilitates the description of the relationship between digital ink and contextual data, and wrote the corresponding interpreter that enables my system to distinguish between gestural commands issued to an autonomous forklift. A user study was done to compare the correctness of a sketch interface with and without context on the canvas. This thesis coins the phrase "Drawing on the World" to mean contextual sketch recognition, describes the implementation and methodology behind "Drawing on the World", describes the forklift's interface, and discusses other possible uses for a contextual gesture recognizer. Sample code is provided that describes the specifics of the StepStool engine's implementation and the implementation of the forklift's interface.</Abstract>
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