What is Feng-GUI heatmap?
  What is it used for?
  How does it work?
  How accurate is it?
  Questions and Answers
  

What is Feng-GUI heatmap?
The Feng-GUI heatmap service is an automatic alternative to eye-tracking.
Unlike eye-tracking or click-based heatmaps, Feng-GUI creates heatmaps based on an algorithm that predicts what a real human would be most likely to look at.


  

What is it used for?

* Product Placements and Branding Effectiveness:
Realize which areas of the page/photo/advertisement gets most of the attention?
* Hotspots - Fixations - Highest regions of interest.
* Hotspots Order - Which and When (milliseconds) will be the next area of interest
* Gaze Saccades - Eye movements between hotspots.
* Which areas are being ignored.
  

How does it work?

The Feng-GUI heatmap is a composition of several algorithms from neuro-science studies of Feature integration theory, Salience, Visual Attention, eye-tracking sessions, perception and cognition of humans.
Or in English: "What people are looking at?"

Heatmap - from dark blue through green to red, describing the regions of interest that catches attention.

Here are some of the primitive features that are analyzed in the image.


In videos, Feng-GUI analyzes some more features, such as: flicker and direction and velocity of motion.


  

Questions and Answers

* Does it make use of mouse movement and clicks detection? - No.
* Does it analysis web server logs? - No.
* Does it uses Eye-Tracking technology? - The results are based and compared to Eye-Tracking analysis.
* Does it employ face or text detection? - The online free version does not.(yet)
* It doesn't work on my site - The website capture has a timeout of 30 seconds.
Flash might also cause website capture problems. As an alternative you can create a screen capture (960x640) of the website and upload the image using the browse button.
  

How accurate is it?
Here are the results of comparison benchmark conducted.
Feng-GUI attention maps regions of interest reach 70% of similarities to Eye and Mouse Tracking.
90 Images of advertisements, natural scenes and web sites.
For each image, 40 different users provided their fixation points, during 15 seconds of observation.

Results extracted from the PhD thesis of Matei Mancas (LG2 attention map).
Mouse-tracking data acquired at TCTS laboratory, Faculty of Engineering, Mons, Belgium
Eye-tracking data acquired by Olivier Le Meur at Thomson R&D, France








  

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Home of the ViewFinder™ algorithm.