References

Projects

Publications

Blickshift Analytics is a very useful visualization and analysis tool for eye-tracking data. The user interface is very accessible and allows users to combine different features to get an integrated overview of what is usually a large and otherwise overwhelming data file! It helped me discover some interesting patterns in my data and allowed me to correct for calibration offsets and latency too. The Blickshift team is really helpful and interested in eye-tracking research. Blickshift Analytics is a tool that every researcher using eye-tracking can benefit from.
Claire Prendergast
Scientist, Harvard University and University of Oslo
With Blickshift Analytics we could analyze a large eye tracking experiment in a high level of detail. Especially, the feature for searching frequently performed eye movement patterns is a very helpful tool for analyzing the visual perception in traffic.
Prof. Dr.-Ing. Thomas Schlegel
Head of Institute for Ubiquitous Mobility Systems at the Karlsruhe University
Blickshift supports the AMPEL lab at the Technical University of Aalen in analyzing the recorded eye movements and simulator data with Blickshift Analytics. A very interesting feature of the software are the advanced eye tracking visualizations and scan path comparison features. This gives us the possibility to analyze long driving experiments very efficiently and to identify drivers with similar driving behavior very quickly.
Prof. Dr. med. Ulrich Schiefer
Head of Aalen Mobility Perception and Exploration Lab (AMPEL) at the Aalen University
Extremly cool! Finally, a powerful analysis software for the analysis of user studies in visualization research!
Dr. Tanja Blascheck
Post-Doc at the Institut national de recherche en informatique et en automatique, Paris

Enhancement of a driving simulator

OSRAM Continental GmbH / Aalen University (AMPEL and Vision Research Group)

Transfer of newest results from research in eye tracking analysis to applied research
Modification and enhancement of an existing driving simulator environment
Cost efficient data analysis with Blickshift Analytics

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Lean Prototyping using Blickshift Analytics

Fraunhofer IAO

Development of a lean prototyping environment for a fast and cost-saving development and validation of interaction concepts
Development and implementation of an attention detection algorithm using Blickshift Analytics
Design and construction of a mock up

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Data recording and synchronization in a driving simulator

Hochschule der Medien

Development of a software solution for a parallel recording of eye tracking data, data from a driving simulator, biometric data and several HD cameras
Development of a software-based synchronization and mastering of the recorded data to a constant recording frequency in Blickshift Analytics
Integration of the two software components in the existing software infrastructure and automatic clock synchronization of the used computers

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