Tesis DocToral El modelo taxonómico de la Realidad Intervenida y...
Current electronic and computer technologies increasingly permeate everyday objects, providing them the ability to interact with their environment. Virtual Reality, Augmented Reality and other forms of Mediated Reality have become the most effective technologies for image and data presentation, and...
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| Formato: | Tesis doctoral acceptedVersion |
| Lenguaje: | Español |
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Facultad de Arquitectura, Diseño y Urbanismo
2021
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| Acceso en línea: | http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=aaqtesis&cl=CL1&d=HWA_5686 https://repositoriouba.sisbi.uba.ar/gsdl/collect/aaqtesis/index/assoc/HWA_5686.dir/5686.PDF |
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| Sumario: | Current electronic and computer technologies increasingly permeate everyday objects, providing them the ability to interact with their environment. Virtual Reality, Augmented Reality and other forms of Mediated Reality have become the most effective technologies for image and data presentation, and the development of complex user interfaces. This thesis introduces a new taxonomic model called "Intervened Reality", which expands the concept of Mediated Reality by means of new categories, such as embedded systems, robotics capability, intelligent devices, and related technologies, involved in what is defined as "technological objects". This model provides a conceptual framework for approaching the design of technological objects that considers not only morphological, aesthetic, technological and productive aspects, but also user experience design as one of its core elements. This taxonomy serves as a lingua franca that facilitates communication and unifies the criteria for project design across the various disciplines of Product Design and Engineering involved in the creation of a technological product. A series of projects which are developed throughout this dissertation illustrates the outcomes achievable through the use of the proposed model in the exercise of project design. These projects vary in their technological nature and show that this taxonomic model can be adapted to a wide range of applications, from context-sensitive software development to autonomous robotic devices. |
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