Attention & Emotions - measured online
Attention is a cognitive process that tells us about somebody’s concentration and ability to actively process specific information. It's based on a methodology developed by group of scientists from SWPS and Clemson University succeeded in creating a K-coefficient. This parameter uses eye movement parameters (fixation duration and saccade amplitude) to define the path of attention dynamic of an examined person. Facial Coding allows you to track the emotions on the participants' faces. It's based on a methodology developed by Carl-Herman Hjortsjö and adopted in 1972 by Paul Ekman and Wallace V. Friesen for interpreting emotional states by facial muscle movements (FACS). Now, computer vision supported with AI algorithms allows us to analyze people's emotions online.
Core features
- Track Attention and Emotions
- Emotions based on FACS
- Individual calibration for Emotions
- Simple study setup
- Head movements watcher
- Works with low light
- Multilingual instructions
Measurements output
- Individual results
- Aggregated graphs
- Filter participants
- Immediate results
- Data export & API
Attention measurement with eye-tracking & K-coefficient - explained
There were many attempts to create a dynamic visual attention indicator, finally a group of scientists from SWPS and Clemson University (who we had the pleasure to meet and work with) succeeded in creating a K-coefficient. This parameter uses eye movement parameters (fixation duration and saccade amplitude) to define the path of attention dynamic of an examined person.
Interviewing Krzysztof Krejtz
In eye-tracking research, we can distinguish two general types of visual attention: ambient and focal. Ambient attention indicates a scanning pattern over stimuli (typical for the early stages of scene perception), characterized by short duration fixations followed by long saccades. Longer fixations followed by shorter saccades, on the other hand, are indicative of focal attention. The more focal processing of the stimuli, the deeper attention is given, which can mean that someone is actively processing the information.
Read more ...Technical specification
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Works with any webcam
We recommend at least 640x480p resolution. -
Works with Chrome/Firefox/Edge/Safari
We recommend using Chromium-based browsers (Chrome, Edge). -
30Hz sampling rate
We're collecting the data every 33ms
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Individual calibration
Calculations are performed after individual calibration. -
Up to 60 minutes long sessions
The maximum study length depends on the license. -
GDPR compliant
We don't store any panelist videos or images. Read more here
