Rich UX data insights

Cube

Combine eye tracking, physiological measurements, and emotions to provide fast and rich UX data insights and visuals with Cube.

Get richer UX data insights and visuals with Cube

  • Cutting-edge and efficient UX data insights
  • Rich visualizations of what users experience
  • Improving data quality and lowering costs
 

CubeHX is a revolutionary new tool for UX research. This cloud-based software platform combines different types of behavioral data collected from usability and UX research in order to provide fast and rich insights to professionals developing websites, mobile apps, software user interfaces, advertisements, and other graphical designs.

 


ux triangulation triangle cube transparent

Efficient UX data insights with Cube

Eye tracking data collected during user experience tests is usually visualized into heat maps. Going beyond traditional gaze heat maps used in eye tracking, Cube captures the complete user experience.

Thanks to the triangulation of facial expressions, physical reactions, and eye tracking data, Cube provides UX researchers and designers with unique insights on what generates emotion or cognitive load on their interface.

 
 


Why use Cube

With Cube you can easily triangulate data and get richer insights and visuals in less time. How do persons respond emotionally and/or physiologically when looking at your product? An eye tracker tells you what the user is looking at, how long, and in which order. It doesn’t tell you what the user experienced while making eye contact with a specific object, image, or text on the screen.

Combining eye tracking, physiological measurements, and emotions

That’s where Cube comes in: using a patent pending data visualization tool, Cube provides rich visualizations of what users actually experience along the entire user journey. It gives you the emotional response of the user while looking at different screen areas, a heat map of facial or physiological responses associated with the points of gaze measured by the eye tracker.

 


Combining eye tracking, physiological measurements, and emotions

Cube delivers these insights almost instantly, allowing customers to quickly access accurate data on user interaction with their product or service. Using machine learning to generate emotional and cognitive indexes, Cube maps these AI based measures onto valuable visualization tools. This allows for more insights into users’ various emotional states while using interfaces.

cube data eye tracking visualization

Results you get from a traditional gaze map:

  • Where are they looking
  • How long are they looking

Results you get from an emotional heatmap generated by CubeHX:

  • Where are they looking
  • How long are they looking
  • Emotions while looking (Anger, Sadness, Valence, etc.)
  • Arousal / Stress while looking
  • Cognitive load while looking
  • Attention / Motivation while looking
 


Prof. Pierre-Majorique Léger: "Noldus products are the element to orchestrate our experiments."

Prof. Pierre-Majorique Léger is a professor of IT at HEC Montréal, chair holder of an industrial chair in user experience, and co-director of the Tech3Lab.

At the Tech3Lab at HEC Montréal, Prof. Pierre-Majorique Léger and his co-workers study what users really experience when they interact with technology, like mobile phones or tablets.

Watch the video to learn more about about user experience research and how to measure users' interactions with technology, and why he chooses Noldus' tools.

 


About CubeHX

CubeHX was initiated by Prof. Pierre-Majorique Léger and his co-workers at HEC Montréal, the first established school of management in Canada, with the use of The Observer® XT and FaceReader™.

FaceReader is the first and most robust automated system for the recognition of a number of specific properties in facial images, including 6 basic or universal expressions, valence, arousal, and affective attitudes 'boredom', 'interest', and 'confusion'.

The Observer XT is the professional and user-friendly software package for the collection, analysis, and presentation of observational data, used around the world for the study of human behavior and human-product interaction.

 
 



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