Publication statistics

Pub. period:2004-2010
Pub. count:4
Number of co-authors:10



Co-authors

Number of publications with 3 favourite co-authors:

S. Gordon:1
Eric Jeffrey Peterson:1
R. Robinson:1

 

 

Productive colleagues

Christine Alvarado's 3 most productive colleagues in number of publications:

Mark S. Ackerman:67
Jaime Teevan:30
David R. Karger:29
 
 
 

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Christine Alvarado

 

Publications by Christine Alvarado (bibliography)

 what's this?
2010
 
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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. Available online

2009
 
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Alvarado, Christine and Cani, Marie-Paule (2009): Editorial. In Computers & Graphics, 33 (4) p. 439. Available online

2004
 
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Teevan, Jaime, Alvarado, Christine, Ackerman, Mark S. and Karger, David R. (2004): The perfect search engine is not enough: a study of orienteering behavior in directed search. In: Dykstra-Erickson, Elizabeth and Tscheligi, Manfred (eds.) Proceedings of ACM CHI 2004 Conference on Human Factors in Computing Systems April 24-29, 2004, Vienna, Austria. pp. 415-422. Available online

This paper presents a modified diary study that investigated how people performed personally motivated searches in their email, in their files, and on the Web. Although earlier studies of directed search focused on keyword search, most of the search behavior we observed did not involve keyword search. Instead of jumping directly to their information target using keywords, our participants navigated to their target with small, local steps using their contextual knowledge as a guide, even when they knew exactly what they were looking for in advance. This stepping behavior was especially common for participants with unstructured information organization. The observed advantages of searching by taking small steps include that it allowed users to specify less of their information need and provided a context in which to understand their results. We discuss the implications of such advantages for the design of personal information management tools.

© All rights reserved Teevan et al. and/or ACM Press

 
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Alvarado, Christine and Davis, Randall (2004): SketchREAD: a multi-domain sketch recognition engine. In: Proceedings of the 2004 ACM Symposium on User Interface Software and Technology 2004. pp. 23-32. Available online

We present SketchREAD, a multi-domain sketch recognition engine capable of recognizing freely hand-drawn diagrammatic sketches. Current computer sketch recognition systems are difficult to construct, and either are fragile or accomplish robustness by severely limiting the designer\'s drawing freedom. Our system can be applied to a variety of domains by providing structural descriptions of the shapes in that domain; no training data or programming is necessary. Robustness to the ambiguity and uncertainty inherent in complex, freely-drawn sketches is achieved through the use of context. The system uses context to guide the search for possible interpretations and uses a novel form of dynamically constructed Bayesian networks to evaluate these interpretations. This process allows the system to recover from low-level recognition errors (e.g., a line misclassified as an arc) that would otherwise result in domain level recognition errors. We evaluated Sketch-READ on real sketches in two domains -- family trees and circuit diagrams -- and found that in both domains the use of context to reclassify low-level shapes significantly reduced recognition error over a baseline system that did not reinterpret low-level classifications. We also discuss the system\'s potential role in sketch based user interfaces.

© All rights reserved Alvarado and Davis and/or ACM Press

 
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