Publication statistics

Pub. period:2004-2010
Pub. count:9
Number of co-authors:16


Number of publications with 3 favourite co-authors:

Robert C. Calfee:
Eric Jeffrey Peterson:
Ruwanee de Silva:



Productive colleagues

Thomas F. Stahovich's 3 most productive colleagues in number of publications:

James A. Landay:91
Robert C. Miller:42
Mario Costa Sousa:22

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Thomas F. Stahovich


Publications by Thomas F. Stahovich (bibliography)

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Field, M., Gordon, S., Peterson, Eric Jeffrey, Robinson, R., Stahovich, Thomas F. and Alvarado, Christine (2010): The effect of task on classification accuracy: Using gesture recognition techniques in free-sketch recognition. In Computers & Graphics, 34 (5) pp. 499-512.

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Lee, WeeSan, Silva, Ruwanee de, Peterson, Eric Jeffrey, Calfee, Robert C. and Stahovich, Thomas F. (2008): Newton's Pen: A pen-based tutoring system for statics. In Computers & Graphics, 32 (5) pp. 511-524.

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Stahovich, Thomas F. and Sousa, Mario Costa (2007): Introduction. In Computers & Graphics, 31 (4) pp. 538-539.

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Lee, WeeSan, Kara, Levent Burak and Stahovich, Thomas F. (2007): An efficient graph-based recognizer for hand-drawn symbols. In Computers & Graphics, 31 (4) pp. 554-567.

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Gennari, Leslie, Kara, Levent Burak, Stahovich, Thomas F. and Shimada, Kenji (2005): Combining geometry and domain knowledge to interpret hand-drawn diagrams. In Computers & Graphics, 29 (4) pp. 547-562.

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Kara, Levent Burak and Stahovich, Thomas F. (2005): An image-based, trainable symbol recognizer for hand-drawn sketches. In Computers & Graphics, 29 (4) pp. 501-517.

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Stahovich, Thomas F., Davis, Randall, Miller, Robert C., Landay, James A. and Saund, Eric (2005): Pen-based computing. In Computers & Graphics, 29 (4) pp. 477-479.

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Kara, Levent Burak and Stahovich, Thomas F. (2004): Hierarchical parsing and recognition of hand-sketched diagrams. In: Proceedings of the 2004 ACM Symposium on User Interface Software and Technology 2004. pp. 13-22.

A long standing challenge in pen-based computer interaction is the ability to make sense of informal sketches. A main difficulty lies in reliably extracting and recognizing the intended set of visual objects from a continuous stream of pen strokes. Existing pen-based systems either avoid these issues altogether, thus resulting in the equivalent of a drawing program, or rely on algorithms that place unnatural constraints on the way the user draws. As one step toward alleviating these difficulties, we present an integrated sketch parsing and recognition approach designed to enable natural, fluid, sketch-based computer interaction. The techniques presented in this paper are oriented toward the domain of network diagrams. In the first step of our approach, the stream of pen strokes is examined to identify the arrows in the sketch. The identified arrows then anchor a spatial analysis which groups the uninterpreted strokes into distinct clusters, each representing a single object. Finally, a trainable shape recognizer, which is informed by the spatial analysis, is used to find the best interpretations of the clusters. Based on these concepts, we have built SimuSketch, a sketch-based interface for Matlab\'s Simulink software package. An evaluation of SimuSketch has indicated that even novice users can effectively utilize our system to solve real engineering problems without having to know much about the underlying recognition techniques.

© All rights reserved Kara and Stahovich and/or ACM Press

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Kara, Levent Burak and Stahovich, Thomas F. (2004): Sim-U-Sketch: a sketch-based interface for SimuLink. In: Costabile, Maria Francesca (ed.) AVI 2004 - Proceedings of the working conference on Advanced visual interfaces May 25-28, 2004, Gallipoli, Italy. pp. 354-357.

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