Information
- Publication Type: Bachelor Thesis
- Workgroup(s)/Project(s):
- Date: November 2024
- Date (Start): June 2024
- Date (End): November 2024
- Matrikelnummer: 12025959
- First Supervisor: Daniel Pahr
Abstract
Data physicalizations are becoming increasingly popular as a means of connecting people to abstract data and may help integrate the flood of information collected by modern technology into our everyday lives. In this thesis, I describe the design process for a software framework facilitating the physicalization of a stream of live data as well as the prototype of a dynamic shape and color-changing data physicalization for said data. I simulated elderly patients sharing their data using a recorded dataset to show the capabilities of the software framework and physicalization. The proposed concept provides a new method for communicating data in remote monitoring scenarios that can be built from accessible materials. It is also capable of showcasing data for other use cases with minimal adaptations, further expanding the possibilities for data physicalization.Additional Files and Images
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No further information available.BibTeX
@bachelorsthesis{schultes_lampi, title = "Live Ambient Physicalization Interface for dynamic Data - LAMPI", author = "Iliari Schultes", year = "2024", abstract = "Data physicalizations are becoming increasingly popular as a means of connecting people to abstract data and may help integrate the flood of information collected by modern technology into our everyday lives. In this thesis, I describe the design process for a software framework facilitating the physicalization of a stream of live data as well as the prototype of a dynamic shape and color-changing data physicalization for said data. I simulated elderly patients sharing their data using a recorded dataset to show the capabilities of the software framework and physicalization. The proposed concept provides a new method for communicating data in remote monitoring scenarios that can be built from accessible materials. It is also capable of showcasing data for other use cases with minimal adaptations, further expanding the possibilities for data physicalization.", month = nov, address = "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria", school = "Research Unit of Computer Graphics, Institute of Visual Computing and Human-Centered Technology, Faculty of Informatics, TU Wien ", URL = "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/", }