Application fields of Blickshift

Automotive

  • Evaluation Experiments
  • Analysis of Driving Experiments
    (in Simulators and Real World Driving)
  • Development of Driver Assistant Systems
  • Analysis and Optimization of Driving Experience
  • Usability Testing
  • Automatic Driving
  • Evaluation Experiments

Sciences

  • User Studies in Visualization Research,
    Human Factors, HCI and many others
  • Perception Experiments
  • Cognitive Modeling
  • Psychological Experiments
  • Engineering
  • Virtual and Augmented Reality

Usability

  • Human-computer interaction
  • Human-machine interaction
  • Optimization of touch screens
  • Ergonomics of visual interfaces
  • Assistants for human-machine interaction
  • Ubiquitous computer environments
  • Analysis of interaction between users

Market research

  • Studies for Optimizing Web Shops and eCommerce experience
  • Web Usability Tests (AB Testing)
  • Retail Shop Optimization
  • Packaging Design Studies
  • Advertising
  • Brochure Improvement
  • UX and Usability of Apps

Edu Tech

  • Optimization of teaching concepts
  • Visual perception and cognitive processing of mathematical equations
  • Reading of music note sheets
  • Analysis of socio cognitive processes

Automotive

  • Evaluation Experiments
  • Analysis of Driving Experiments
    (in Simulators and Real World Driving)
  • Development of Driver Assistant Systems
  • Analysis and Optimization of Driving Experience
  • Usability Testing
  • Automatic Driving
  • Evaluation Experiments

Sciences

  • User Studies in Visualization Research,
    Human Factors, HCI and many others
  • Perception Experiments
  • Cognitive Modeling
  • Psychological Experiments
  • Engineering
  • Virtual and Augmented Reality

Usability

  • Human-computer interaction
  • Human-machine interaction
  • Optimization of touch screens
  • Ergonomics of visual interfaces
  • Assistants for human-machine interaction
  • Ubiquitous computer environments
  • Analysis of interaction between users

Market research

  • Studies for Optimizing Web Shops and eCommerce experience
  • Web Usability Tests (AB Testing)
  • Retail Shop Optimization
  • Packaging Design Studies
  • Advertising
  • Brochure Improvement
  • UX and Usability of Apps

Edu Tech

  • Optimization of teaching concepts
  • Visual perception and cognitive processing of mathematical equations
  • Reading of music note sheets
  • Analysis of socio cognitive processes

Solution examples

Search for similar eye movements

One of the great challenges in analyzing eye tracking experiments is the search for similar eye movements. Blickshift Analytics offers two unique solutions: With an automatic search process our software identifies typical eye movements on an AOI basis. In addition to the automatic search, a sequence search gives you the possibility to search for exact defined scan path patterns or similar eye movements.

Automotive: Efficient overview of your user experiment

One of the great challenges in analyzing driver experiments is the data complexity. With our solution Blickshift Analytics you can analyze this data with an previously unknown efficiency. You get an efficient overview about your data, you can find quickly relevant time sections and identify participants with a similiar eye movement and driving behaviour. Analysis tasks, which required a time effort of days or weeks in the past, can now be done within a few hours!

Correlation analysis of sensor data

In many eye tracking experiments not only eye movements have been recorded, but also biometric values like galvanic skin response or heart rate frequencies. In Blickshift Analytics you can import all these data channels together. Next, you analyze all information together to find correlations between eye movements and physiological data and other sensors.

Erzeugung von Trainingsmengen für die Entwicklung von KI-Algorithmen

Die Vielzahl heutiger KI-Algorithmen lernen auf Basis von manuell oder semiautomatisch erzeugten Trainingsmengen.

Blickshift Analytics bietet für die Erzeugung von Trainingsmengen auf Basis von Zeitreihendaten eine der effizientesten Lösungen am Markt. Dabei besticht der Workflow durch Einfachheit. Sie markieren Abschnitte in Ihren Daten, weisen diesen passende Labels zu und exportieren diese Label mit den dazu gehörenden Sensor- und Blickdaten als Trainingsmenge. Dazu stehen Ihnen zwei Modi zur Verfügung: die manuelle Markierung einzelner Abschnitte oder der Einsatz von automatischen Komponenten.

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