Organizational Unit:

School of Interactive Computing

Permanent Link

https://hdl.handle.net/1853/70783

Parent Organization

Organizational Unit

College of Computing

ArchiveSpace Name Record

https://finding-aids.library.gatech.edu/agents/corporate_entities/1113

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Publication Search Results

Now showing 1 - 10 of 18

A system for wearable audio navigation integrating advanced localization and auditory display

(Georgia Institute of Technology, 2009-12-06) Walker, Bruce N. ; Dellaert, Frank
SAM: Steady Affine Motions

(Georgia Institute of Technology, 2009-11-23) Rossignac, Jarek ; Vinacua, Àlvar

An affine motion is a continuous map from time value t to an affinity A subscript t. It is a SAM (Steady Affine Motion), when A subscript t = A superscript t. Although the beauty of a motion is subjective, the above equation provides one mathematical characterization and includes the screw ("universal instantaneous") motion and the golden ("mirabilis") spiral. Although a real matrix, A superscript t, may not exist, we show that it does for a dense set of affinities A covering a significant range of rotations and shears around the identity and that it may be computed efficiently and robustly in two and three dimensions using closed form expressions. SAMs have remarkable properties. For example, the velocity of any point remains constant, both in the global (fixed) and local (moving) frames, which facilitates the exact computation of derived entities, such as the envelope surfaces used to define the boundary of a swept volume. We say that a pattern of features F subscript i is steady when there exists an affinity M such that F subscript i = M superscript i F subscript 0. Each M superscript i is a frame of a SAM and may be computed as A superscript (i/n), where A is the afiine relation F subscript n = A F subscript 0 between the first and the last feature. This option makes it possible to edit directly the feature count n or the cumulative transformation A.
Telesign: Towards a one-way American sign language translator

(Georgia Institute of Technology, 2009-04-01) Starner, Thad
Visualization of Exception Handling Constructs to Support Program Understanding

(Georgia Institute of Technology, 2009) Shah, Hina ; Görg, Carsten ; Harrold, Mary Jean

This paper presents a new visualization technique for supporting the understanding of exception-handling constructs in Java programs. To understand the requirements for such a visualization, we surveyed a group of software developers, and used the results of that survey to guide the creation of the visualizations. The technique presents the exception-handling information using three views: the quantitative view, the flow view, and the contextual view. The quantitative view provides a high-level view that shows the throw-catch interactions in the program, along with relative numbers of these interactions, at the package level, the class level, and the method level. The flow view shows the type-throw-catch interactions, illustrating information such as which exception types reach particular throw statements, which catch statements handle particular throw statements, and which throw statements are not caught in the program. The contextual view shows, for particular type-throw-catch interactions, the packages, classes, and methods that contribute to that exception-handling construct. We implemented our technique in an Eclipse plugin called EnHanCe and conducted a usability and utility study with participants in industry.
2007 RoboCup International Symposium

(Georgia Institute of Technology, 2008-05) Balch, Tucker ; Dellaert, Frank
Compositional Classification

(Georgia Institute of Technology, 2008-03-25) Jones, Joshua

An intelligent system must routinely deal with massive information processing complexity. The research discussed in this document is concerned with finding representations and processes to deal with a part of this complexity. At a high level, the proposed idea is that a synthesis between the symbolic reasoning of classic artificial intelligence research and the statistical inference mechanisms of machine learning provides answers to some of these issues of complexity. This research is specifically concerned with a subset of classification problems that we call ”compositional classification”, where both the class label and values produced at internal nodes in the classification structure entail verifiable predictions. This research specifies and evaluates a technique for compositional classification. This investigation will consist of (i) implementing a framework for the construction of supervised classification learning systems that codifies the technique, (ii) instantiating a number of learning systems for various specific classification problems using the framework, (iii) using a synthetic problem setting to systematically vary the problem characteristics and system parameters and assess the impact on performance, and (iv) formally analyzing the properties of the technique. A central problem addressed by this technique is how diverse techniques for representation, reasoning and learning that arise from differing viewpoints on intelligence can be reconciled to form a consistent and effective whole. For example, how can neural network backpropagation and knowledge-based diagnosis be combined to achieve an effective structural credit assignment technique for a hybrid knowledge representation?
Computer Science Construct Use, Learning, and Creative Credit in a Graphic Design Community

(Georgia Institute of Technology, 2008-02) Dorn, Brian ; Tew, Allison Elliott ; Guzdial, Mark

End-users, who are projected to outnumber professional programmers in the next decade, present a unique opportunity to understand how computer science knowledge is acquired in the real world. We conducted an analysis of projects created by end-user programmers to discern their adoption of introductory computing constructs. A variety of project sizes were represented in the data, ranging from fewer than 100 lines of source code to greater than 1500. Many introductory computing constructs were highly adopted, but some were relatively unused. As these variations in adoption could be indications of topic complexity, we compared our findings to previous work in the novice programming literature. Additionally, a data-driven analysis provided insight into user sharing and reuse practices. Many distinct approaches to copyright and code ownership concerns were found in the projects studied, and their potential impact on end-user learning was considered.
What Makes Teachers Change? Factors that Influence Post-secondary Teachers’ Adoption of New Computing Curricula

(Georgia Institute of Technology, 2008) Ni, Lijun ; Guzdial, Mark

This study explores factors that influence teachers’ adoption of curriculum innovations in the context of one specific innovation—Contextualized Computing Curricula. From a teacher-oriented perspective, we propose a theoretical model to represent hypotheses regarding potential adoption factors with an emphasis on the knowledge, beliefs, and attitudes that teachers hold about curriculum, students and themselves. We conducted a pilot study to examine those proposed factors through three summer workshops in 2007. We use the results of the pilot study to extend and refine the proposed model. Our findings indicate that teacher excitement in the new course drives adoption, while systemic issues inhibit adoption. This model might potentially provide a basis for researchers to devise effective strategies for removing barriers that prevent teachers’ adoption, and thereby foster the dissemination of innovations emerging from the learning sciences community.
Localization and 3D Reconstruction of Urban Scenes Using GPS

(Georgia Institute of Technology, 2008) Kim, Kihwan ; Summet, Jay ; Starner, Thad ; Ashbrook, Daniel ; Kapade, Mrunal ; Essa, Irfan

Using off-the-shelf Global Positioning System (GPS) units, we reconstruct buildings in 3D by exploiting the reduction in signal to noise ratio (SNR) that occurs when the buildings obstruct the line-of-sight between the moving units and the orbiting satellites. We measure the size and height of skyscrapers as well as automatically constructing a density map representing the location of multiple buildings in an urban landscape. If deployed on a large scale, via a cellular service provider’s GPS-enabled mobile phones or GPS-tracked delivery vehicles, the system could provide an inexpensive means of continuously creating and updating 3D maps of urban environments.
Art or Circus? Characterizing User-Created Video on YouTube

(Georgia Institute of Technology, 2008) Landry, Brian M. ; Guzdial, Mark

Video and networking technologies have advanced such that posting and viewing video online is practical. Everyday people now post video online to communicate asynchronously with remote audiences. This paper explores the forms in which people communicate on the popular video sharing website YouTube. It also examines whether end-user video creators on YouTube use plot-based storytelling as a communication strategy. We analyzed popular content on YouTube and found the majority of that content showcases everyday people engaging in uncommon activities. Furthermore, a small minority of popular video actually tells a story. Based on our findings, we propose the compostion gap as a means of conceptualizing the disparity between video content on You- Tube and professional content. We then discuss opportunities for designing technologies to support communication through performance-based video as well as story-based video.