Publication statistics

Pub. period:2008-2011
Pub. count:4
Number of co-authors:20


Number of publications with 3 favourite co-authors:

Johanna Renny Octavia:
Sofie Notelaers:
Tom De Weyer:



Productive colleagues

Anamary Leal's 3 most productive colleagues in number of publications:

Karin Coninx:134
Doug A. Bowman:68
Yoshifumi Kitamura:48

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Anamary Leal


Publications by Anamary Leal (bibliography)

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Leal, Anamary, Bowman, Doug A., Schaefer, Laurel and Quek, Francis (2011): 3D sketching using interactive fabric for tangible and bimanual input. In: Proceedings of the 2011 Conference on Graphics Interface 2011. pp. 49-56.

As an input device, fabric holds potential benefits for three dimensional (3D) interaction in the domain of surface design, which includes designing objects from clothing to metalwork. To investigate these benefits, we conducted an exploratory study of different users' natural interactions with fabric. During this study, we instructed users to communicate various shapes and surfaces of varying complexity. A prevailing way of communicating shapes proved to be an in-the-air sketch metaphor. Based on this result, we proposed and implemented a system supporting three in-the-air sketch-based input devices: a point, a flexible curve, and a flexible surface. A preliminary feasibility study found that users successfully sketched objects and scenes despite the influence of tracking issues, suggesting lessons learned and relevant constraints for such systems in future work.

© All rights reserved Leal et al. and/or their publisher

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Figueroa, Pablo, Kitamura, Yoshifumi, Kuntz, Sebastien, Vanacken, Lode, Maesen, Steven, Weyer, Tom De, Notelaers, Sofie, Octavia, Johanna Renny, Beznosyk, Anastasiia, Coninx, Karin, Bacim, Felipe, Kopper, Regis, Leal, Anamary, Ni, Tao and Bowman, Doug A. (2010): 3DUI 2010 Contest Grand Prize Winners. In IEEE Computer Graphics and Applications, 30 (6) pp. 86-96.

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Leal, Anamary, Wingrave, Chadwick A. and LaViola, Joseph J. (2009): Initial explorations into the user experience of 3D file browsing. In: Proceedings of the HCI09 Conference on People and Computers XXIII 2009. pp. 339-344.

We present an initial exploration into the usability of 3D file browsing. To explore the 3D file browsing technique design space, we analyzed the existing literature and developed three representative 3D file browsing techniques that cover many of their characteristics. Block3D uses a priority weighting scheme to elevate and display files in a grid-based structure. Cluster3D uses sets of animated racks to display files. LTreeCube3D visualizes files and directories using groups of semi-transparent cubes within a larger cube-like structure. We conducted an experiment exploring the affect these 3D file browsing technique have on users in a manual file searching task. Our evaluation is based on task completion time and a post-questionnaire used to gather subjective feedback on each technique in terms of user preference. The results indicate that users completed the manual file search task significantly faster using Block3D than both LTreeCube3D and Cluster3D. Although subjective ranking showed users preferred the Block3D technique, user feedback also showed merits of the other techniques.

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LaViola, Joseph J., Leal, Anamary, Miller, Timothy S. and Zeleznik, Robert (2008): Evaluation of Techniques for Visualizing Mathematical Expression Recognition Results. In: Proceedings of the 2008 Conference on Graphics Interface May 28-30, 2008, Windsor, Ontario, Canada. pp. 131-138.

We present an experimental study that evaluates four different techniques for visualizing the machine interpretation of handwritten mathematics. Typeset in Place puts a printed form of the recognized expression in the same location as the handwritten mathematics. Adjusted Ink replaces what was written with scaled-to-fit, cleaned up handwritten characters using an ink font. The Large Offset technique scales a recognized printed form to be just as wide as the handwritten input, and places it below the handwritten mathematical expression. The Small Offset technique is similar to Large Offset but the printed form is set to be a fixed size which is generally small compared to the written expression. Our experiment explores how effective each technique is with assisting users in identifying and correcting recognition mistakes with different types and quantities of mathematical expressions. Our evaluation is based on task completion time and a comprehensive post-questionnaire used to solicit reactions on each technique. The results of our study indicate that, although each technique has advantages and disadvantages depending on the complexity of the handwritten mathematics, subjects took significantly longer to complete the recognition task with Typeset in Place and generally preferred Adjusted Ink or Small Offset.

© All rights reserved LaViola et al. and/or their publisher

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