Bibliograph. Daten | Herr, Dominik: Neue visualisierungsbasierte Analysetechniken für Eye-Tracking-Daten. Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Diplomarbeit Nr. 3509 (2013). 105 Seiten, deutsch.
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CR-Klassif. | D.2.13 (Software Engineering Reusable Software) D.4.7 (Operating Systems Organization and Design) H.2.5 (Heterogeneous Databases)
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Kurzfassung | Due to the increasing usage of eye tracking systems in the economical sector and academic research there is a rising demand for analyzation and visualization techniques for eye tracking data. This work applies the techniques and concepts of visual analytics by proposing a visualization-driven approach to analyze eye tracking data by filtering and analyzing the data before visualizing it. To do so, the data will be pre-processed. Afterwards the data can be analyzed by using configurable filters. The results are visualized using the Parallel Scan-Path visualization technique, enhanced by adding interaction methods such as brushing and zooming to enable further exploration of the data. The concept has been implemented as a prototype, which is evaluated in two scenarios.
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Volltext und andere Links | PDF (11418967 Bytes)
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Abteilung(en) | Universität Stuttgart, Institut für Visualisierung und Interaktive Systeme, Visualisierung und Interaktive Systeme
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Betreuer | Raschke, Michael |
Eingabedatum | 16. Dezember 2013 |
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