Research

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Screenshot of the content visualization in VoiceSpaceTitle: Visualizing Remote Voice Conversations: Uses from Artifacts to Archival [Website] [Thesis]
People: Pooja Mathur, Professor Karrie Karahalios
Abstract: People hold large amounts of personal content on their computers. This digital content takes the form of videos such as family events, photographs from vacations, instant message chat logs and voice over internet protocol audio chat logs just to name a few. This personal digital content can function as a chronicle of one’s life. It allows people to also look back and reminisce about past events. However, audio logs are not ideal. One is restricted by the amount of time available to listen to the logs. Visualizing audio conversations, though, can enable one to use audio logs to a greater magnitude. Here we discuss how visualizing audio content from remote conversations can be used as an artifact of the conversation and have uses in archival as well. We created a system to study how users react to visualizing audio for these purposes and discuss the results of those studies.

Screenshot of the blocks visualization Title: Interaction Dynamics of Remotely Held Conversations Using Visual Indicators [Website] [Thesis]
People: Pooja Mathur, Anthony Bergstrom, Professor Karrie Karahalios
Abstract: The number of face to face conversations is consistently decreasing as new technologies are increasingly available. We attempt to add back some of the non-verbal information lost with the addition of visual cues. These cues are in the form of visualized auditory data. That is, one sees what one hears. We will look at evolution of the conversation mapping program in this thesis. Using four visualizations we asked subjects to describe to us how the visualizations aided or disrupted their conversations. With that feedback, we try to discover any support the program gives subjects. We conclude with our results on how to continue adding back non-verbal cues in conversations.

Title: Particle System and Implicit Surface Interface Modification [Poster]
People: Pooja Mathur, Professor John hart
Abstract: A particle system is a homogeneous collection of particles that behave and appear the same. They are used in many areas of research such a visualization, fluid dynamics, quantum physics and computer graphics. Commonly applied to implicit surfaces, particle systems offer a method for mapping the topology of systems that are inefficient to render in usual manner. With a given implicit surface and particle system library and a graphical user interface to manipulate these surfaces and particles, we seek to further the opportunities available for research in these areas as we looked for ways alter the current program to allow for more research to be done. We found that will converting from a static to a shared library and generalizing the contour renderings will allow for this.

Title: Model Repair and Surface Reconstruction [Poster]
People: Pooja Mathur, Keenan Crane, Jared Hoberock, Professor John Hart
Abstract: Model repair and surface reconstruction are topics in the area of computer graphics research. They are used to ‘fix’ graphics that may not have been constructed correctly. In that respect, model repair and surface reconstruction provide useful services for numerous industries ranging in anything from entertainment to archaeology. When a scan is made of a 3D object, whether it is of an object to be added into a video game or some artifact found on a dig site, the scan might not produce a perfect data set. That is where the model repair and surface reconstruction come in. There are three main steps to obtaining a perfect data set, throw out the bad points, align multiple scans, and reconnect the final data set. There are numerous ways to complete these steps, but we wanted to find one of the least complicated yet quickest ways to do that.