Hallucination machine : a body centric model of space perception
Author(s)Zaman, C̦ağrı Hakan
Body centric model of space perception
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Terry Knight and Patrick H. Winston.
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In this thesis I present a novel approach to space perception. I provide a body-centric computational model, The Hallucination Machine, that integrates bodily knowledge with senses in a common modality which I call "the sphere of embodiment". Understanding the human experience of space is an important inquiry not only in the context of design and architecture, but in a broad range of scholarly disciplines where humans are the subject of study, whether as biological, social, or cognitive entities. My vision is that in order to create a knowledge of space shared through different disciplines and to develop tools and methods of scientific inquiry into the "human space," we have to conceptualize a space perception model that connects sensory experience with the actions and bodily knowledge of the actor. Implications for such a model have been proposed by phenomenologists in the philosophical realm and carried into psychology through concepts of embodiment, situated cognition, and enaction. The Hallucination Machine illustrates the inner-spatial relations between different senses and movements, collected through sensory and inertial recording devices of the machine which experiences space situated by its human carrier. Through this inquiry, I argue that all senses, including proprioception and orientation, are collapsed in one medium, a sphere of embodiment, in which they form a multimodal spatial experience and communicate through it. I demonstrate the practical implications of this medium through a set of experiments.
Thesis: S.M., Massachusetts Institute of Technology, Department of Architecture, 2014.Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.Cataloged from PDF version of thesis. "June 2014."Includes bibliographical references (pages -86).
DepartmentMassachusetts Institute of Technology. Department of Architecture.; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology
Architecture., Electrical Engineering and Computer Science.