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Improving interactive multisensory simulation and rendering through focus on perceptual processes
Descriptive
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Text
TitleInfo
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Title
Improving interactive multisensory simulation and rendering through focus on perceptual processes
Identifier
ETD_1479
Identifier
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050507
Language
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eng
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theses
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Topic
Computer Science
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Perceptual-motor processes
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Human-computer interaction
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Virtual computer systems
Abstract
In this dissertation we present a novel approach to the design of multisensory interactive applications. We develop methods that improve the effectiveness of this type of application by incorporating the existing understanding of the human perceptual system. We quantitatively demonstrate the validity of our techniques through user studies and laboratory measurement.
Explicitly including the human user as a part of the model for interactive application design, we propose a design approach for training simulators that augments the dynamical simulation of an interactive task (e.g., a surgical procedure) with feedback that highlights the aspects of the interaction that are perceptually pertinent for the purposes of training. We show how this type of augmentation can improve the training effectiveness of a simulator without necessitating more expensive rendering hardware.
To make our perceptually-based augmentation technique more useable by application designers, we propose a decomposition approach to simplify the general process of developing the appropriate augmentation for a training simulator. We validated our approach by applying it to the design of a training simulator for a haptic search task; we conducted a user study that found a statistically significant improvement in the training effectiveness of the augmented simulator vs. an unaugmented simulator. We propose specific guide-lines for how existing psychophysical experimental results can be used to build augmentations for training simulators.
We also developed a novel rendering architecture for distributed interactive applications that is suitable for the type of perceptually augmented simulator described above. Our architecture uses prediction of perceptually pertinent interaction events to achieve application latency and asynchrony bounds that can be constrained to within psychophysically established thresholds.
Explicitly including the human user as a part of the model for interactive application design, we propose a design approach for training simulators that augments the dynamical simulation of an interactive task (e.g., a surgical procedure) with feedback that highlights the aspects of the interaction that are perceptually pertinent for the purposes of training. We show how this type of augmentation can improve the training effectiveness of a simulator without necessitating more expensive rendering hardware.
To make our perceptually-based augmentation technique more useable by application designers, we propose a decomposition approach to simplify the general process of developing the appropriate augmentation for a training simulator. We validated our approach by applying it to the design of a training simulator for a haptic search task; we conducted a user study that found a statistically significant improvement in the training effectiveness of the augmented simulator vs. an unaugmented simulator. We propose specific guide-lines for how existing psychophysical experimental results can be used to build augmentations for training simulators.
We also developed a novel rendering architecture for distributed interactive applications that is suitable for the type of perceptually augmented simulator described above. Our architecture uses prediction of perceptually pertinent interaction events to achieve application latency and asynchrony bounds that can be constrained to within psychophysically established thresholds.
PhysicalDescription
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xii, 132 p. : ill.
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Note
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Ph.D.
Note
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Includes bibliographical references (p. 123-130)
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by Timothy Edmunds
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Edmunds
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Timothy
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1978-
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Timothy Edmunds
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Pai
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Dinesh
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chair
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Dinesh K. Pai
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DeCarlo
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Doug
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internal member
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Doug DeCarlo
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Littman
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Michael
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Michael L. Littman
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Okamura
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Allison
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Allison Okamura
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Rutgers University
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Graduate School - New Brunswick
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2009
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2009-01
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xx
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NjNbRU
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Rutgers University Electronic Theses and Dissertations
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ETD
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Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
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rucore19991600001
Identifier
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doi:10.7282/T3Q81DCN
Genre
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ETD doctoral
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Non-exclusive ETD license
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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