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Title: Immersive Data Visualization and Storytelling based on 3D : Virtual Reality Platform: a Study of Feasibility, Efficiency and Usability
Language: German
Authors: Phan, Truong Vinh
Issue Date: 24-Apr-2017
Abstract: 
Seit der Datenexplosion dank der Open-Data- bzw. Transparenz-Bewegung sind Datenanalyse und -exploration eine zwar interessanter aber immer schwieriger Herausforderung, nicht nur für die Informationstechnik und Informatik sondern auch für unsere allgemeine Gesellschaft, geworden. Wegen der Arbeitsweise des menschlichen Gehirns ist Visualisierung eine der ersten Go-to Methoden, um komplexe Datensätze verständlich, anschaulich und zugänglich zu machen. Diese Arbeit untersucht aus Sicht der IT die Rolle der Visualisierung in Datenanalyse und Datenjournalismus sowie die Machbarkeit und Effizienz einer neuen Visualisierungsmöglichkeit in virtueller Welt, ermöglicht durch die rapiden Fortschritte in Virtual-Reality Technologien.

As data is being generated and flowing into modern society in mass quantity, exploring and analyzing these vast data volumes becomes an increasingly difficult challenge. The ability of human reasoning is greatly limited in traditional, mainstream data mining techniques. On the other hand, in data visualization, computational analysis only has a minor role. Visual data mining is a new approach which combines traditional mining techniques with information visualization in exploring large data sets. This thesis aims to study the role of information visualization in visual data mining and storytelling as well as examine how new types of data representation, especially with recent advancements in virtual reality technologies, can be used in combination with traditional visualization techniques to give data exploration and knowledge discovery a more immersive experience and how this approach can be stacked against conventional, purely two-dimensional visualization.
URI: http://hdl.handle.net/20.500.12738/7931
Institute: Department Informatik 
Type: Thesis
Thesis type: Master Thesis
Advisor: von Luck, Kai 
Referee: Jenke, Philipp 
Appears in Collections:Theses

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