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Eye Tracking Headmounted

HEADMOUNTED EYE TRACKING

Observing people naturally interacting with products and media is for us both an ideal and a challenge. The possibilities that headmounted eye tracking offers are extremely diverse and go far beyond laboratory studies.

Developed in cooperation with MIT graduates

For over 20 years, eye square has researched in the area of visual attention at various touchpoints. Together with graduates from MIT Massachusetts Institute of Technology, we are developing 3D-printed glasses with high-resolution cameras. The principle remains the same: a camera is directed at the environment (World Cam), and one on the pupil (Eye Cam). An algorithm projects one onto the other.

 

A sample of applications:

  • Reading real, paper magazines right off of a shelf
  • Use of navigation systems while driving
  • Orientation on real supermarket shelves

Measure the attention of your customers in HD

Your options

Our eye tracker is tailored to your needs:

 

  • HD resolution
  • can be worn for hours and is truly lightweight
  • self-calibrating for a quick start, even under unfavorable conditions

 

For us, this is a revolution in mobile research. For our clients, it allows us to provide totally new study types, saving costs and time. Depending on your study design, we offer 2 different options:

Pupil Invisible

Automatic in every way

No Laptop needed during recording

No calibration needed

Easy setup

Only Android

Cloud recording

Glasses with shades & vison correction

pupil

Pupil Core

Expert tool

Laptop based recording

Manual calibration

Adjustable cameras

Desktop software (iOS, Linux, Win)

Open Source

Marker Tracking

Pupil-will-devices

40 grams: the lightest eye tracker in the world

More details

Wear – Record – Analyze:
The eye tracking glasses are put on and the recording can begin immediately. The recording is started on the cell phone. The glasses record a video, which serves as the basis for the evaluation.

DSGVO and Data Privacy:

Audio is not recorded and all faces that appear in the video are pixelated, making the video anonymous.

Mobile devices: can be tracked particularly well with headmounted eye trackers. They are able to automatically detect markers, making the analysis process easier. The 2-4 markers define a particular device (phone, tablet, TV) or an area (dashboard, newspaper).

In practice, what does this method look like?

For Facebook, we visited 763 study participants from six countries (Germany, France, England, USA, Brazil, and Indonesia) in their households and conducted the most comprehensive, global, multiscreen eye-tracking ethnographic study to date.
To collect data, we used a unique mobile combination of HD eye tracking, content recording and encoding. We paid attention to which screens on what devices had the users’ attentions, along with what content was on which screens.