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 52

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.
Estimating the discriminative power of time varying features for EEG BMI

(Georgia Institute of Technology, 2009-11-16) Mappus, Rudolph Louis, IV

In this work, we present a set of methods aimed at improving the discriminative power of time-varying features of signals that contain noise. These methods use properties of noise signals as well as information theoretic techniques to factor types of noise and support signal inference for electroencephalographic (EEG) based brain-machine interfaces (BMI). EEG data were collected over two studies aimed at addressing Psychophysiological issues involving symmetry and mental rotation processing. The Psychophysiological data gathered in the mental rotation study also tested the feasibility of using dissociations of mental rotation tasks correlated with rotation angle in a BMI. We show the feasibility of mental rotation for BMI by showing comparable bitrates and recognition accuracy to state-of-the-art BMIs. The conclusion is that by using the feature selection methods introduced in this work to dissociate mental rotation tasks, we produce bitrates and recognition rates comparable to current BMIs.
Eden: an interactive home network management system

(Georgia Institute of Technology, 2009-11-13) Yang, Jeonghwa

Networks have expanded from the workplace and scientific labs into the home. Consequently, managing networks is no longer only a job for skilled network administrators, but has also become one for general home users, who have to deal with various home network management tasks such as network/device configuration, security management, and troubleshooting to name but a few. However, many home network users have difficulty managing these tasks due to the inherent complexity of the home network and the lack of management tools designed for non-skilled network users. This dissertation addresses the problem of network management for non-skilled network users by investigating a home network management tool with a new interaction model called Eden. Eden is an interactive home network management tool based on direct manipulation. It eliminates the need for users to see all the technical minutia of the network while still allowing users to perform management tasks with a simple drag-and-drop of visually represented networking devices and network settings. The user interface evaluation showed that Eden is intuitive and easy enough for general home users to use. The usability evaluation showed that Eden performed better overall than existing tools and that the majority of the study participants preferred Eden over the existing tools for future use. My contributions are twofold. First, I present what is to my knowledge the first fully direct manipulation system designed specifically for home network management. Secondly, my evaluation highlights a number of properties in my design--particularly in my conceptual model--that improve users' understandings of the network, and their ease with managing it.
Collaborative annotation, analysis, and presentation interfaces for digital video

(Georgia Institute of Technology, 2009-07-06) Diakopoulos, Nicholas A.

Information quality corresponds to the degree of excellence in communicating knowledge or intelligence and encompasses aspects of validity, accuracy, reliability, bias, transparency, and comprehensiveness among others. Professional news, public relations, and user generated content alike all have their own subtly different information quality concerns. With so much recent growth in online video, it is also apparent that more and more consumers will be getting their information from online videos and that understanding the information quality of video becomes paramount for a consumer wanting to make decisions based on it. This dissertation explores the design and evaluation of collaborative video annotation and presentation interfaces as motivated by the desire for better information quality in online video. We designed, built, and evaluated three systems: (1) Audio Puzzler, a puzzle game which as a by-product of play produces highly accurate time-stamped transcripts of video, (2) Videolyzer, a video annotation system designed to aid bloggers and journalists collect, aggregate, and share analyses of information quality of video, and (3) Videolyzer CE, a simplified video annotation presentation which syndicates the knowledge collected using Videolyzer to a wider range of users in order to modulate their perceptions of video information. We contribute to knowledge of different interface methods for collaborative video annotation and to mechanisms for enhancing accuracy of objective metadata such as transcripts as well as subjective notions of information quality of the video itself.
Learning in public: information literacy and participatory media

(Georgia Institute of Technology, 2009-07-06) Forte, Andrea

This research examines new systems of information production that are made possible by participatory media. Such systems bring about two critical information literacy needs for the general public: to understand new systems in order to assess their products and to become adept participants in the construction of public information spaces. In this dissertation, I address both of these needs and propose a view of information literacy that situates the information literate as both consumer and producer. First, I examine a popular example of a new publishing system, Wikipedia, and present research that explains how the site is organized and maintained. I then turn my attention to the classroom and describe three iterations of design-based research in which I built new wiki tools to support publication activities and information literacy learning in formal educational contexts. I use the rhetorical notion of genre as an analytic lens for studying the use and impact of these new media in schools. Classroom findings suggest that the affordances of a wiki as an open, transparent publishing medium can support groups of writers in building a shared understanding of genre as they struggle with an unfamiliar rhetorical situation. I also demonstrate how writing on a public wiki for a broad audience was a particularly useful writing experience that brought about opportunities for reflection and learning. These opportunities include transforming the value of citation, creating a need to engage deeply with content, and providing both a need and a foundation for assessing information resources.
Understanding the social navigation user experience

(Georgia Institute of Technology, 2009-07-06) Goecks, Jeremy

A social navigation system collects data from its users--its community--about what they are doing, their opinions, and their decisions, aggregates this data, and provides the aggregated data--community data--back to individuals so that they can use it to guide behavior and decisions. In this thesis, I document my investigation of the user experience for social navigation systems that employ activity data. I make three contributions in this thesis. First, I synthesize social navigation systems research with research in social influence, advice-taking, and informational cascades to construct hypotheses about the social navigation user experience. These hypotheses posit that community data from a social navigation system exerts informational influence on users, that users egocentrically discount community data, that herding in social navigation systems can be characterized as informational cascades, and that the size and unanimity of the community data correspond to the strength of the community data's influence. The second contribution of this thesis is an experiment that evaluates the hypotheses about the social navigation user experience; this experiment investigated how a social navigation system can support online charitable giving decisions. The experiment's results support the majority of the hypotheses about the social navigation user experience and provide mixed evidence for the other hypotheses. The implications that arise from the experiment's findings compromise the final contribution of this thesis. These implications concern improving the design of social navigation systems and developing a general framework for evaluating the social influence of social navigation systems.
Designing ubiquitous computing for reflection and learning in diabetes management

(Georgia Institute of Technology, 2009-04-09) Mamykina, Lena

This dissertation proposes principles for the design of ubiquitous health monitoring applications that support reflection and learning in context of diabetes management. Due to the high individual differences between diabetes cases, each affected individual must find the optimal combination of lifestyle alterations and medication through reflective analysis of personal diseases history. This dissertation advocates using technology to enable individuals' proactive engagement in monitoring of their health. In particular, it proposes promoting individuals' engagement in reflection by exploiting breakdowns in individuals' routines or understanding; supporting continuity in thinking that leads to a systematic refinement of ideas; and supporting articulation of thoughts and understanding that helps to transform insights into knowledge. The empirical evidence for these principles was gathered thought the deployment studies of three ubiquitous computing applications that help individuals with diabetes in management of their diseases. These deployment studies demonstrated that technology for reflection helps individuals achieve their personal disease management goals, such as diet goals. In addition, they showed that using technology helps individuals embrace a proactive attitude towards their health indicated by their adoption of the internal locus of control.
Telesign: Towards a one-way American sign language translator

(Georgia Institute of Technology, 2009-04-01) Starner, Thad
Crossing the Disciplines

(Georgia Institute of Technology, 2009) Best, Michael L. ; Bar, François