Attention analysis & Facial coding - Emotions understanding

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.

Every person is being calibrated individually to fit his/her 'neutral' face state before the study begins.

Use our online study creator to set up the study: control display times, triggers, display order (can be random) and follow-up questionnaires to create the study flow.

RealEye makes sure that the participant's head is in the correct position. In case the participant is moving too much, they are being asked to go back to the original position.

Eye-tracking works even in very low lighting conditions. Every participant has to pass the calibration check before continuing the test.

Test available in multiple languages:

Core features

Track Attention and Emotions
Emotions based on FACS
Individual calibration for Emotions
Simple study setup
Head movements watcher
Works with low light
Multilanguage instructions

Launch Demo Launch Demo

The results are available on the dashboard as soon as the participant finishes their test. Use tags to describe the participant for further analysis.

Download the data as CSV files or use RealEye API. Read more about available exports and API.

Measurements output

Individual results
Aggregated graphs
Filter participants
Immediate results
Data export & API

See sample results

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.

Technical specification

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

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

Frequently Asked Questions

Who can participate in my study?

Either your own or RealEye participants. You can invite your users or panel and share the study with them using a participation link. All they need to have is a laptop/PC with a webcam.

We also have a network of panelists from all over the world - mainly from the UK and the US. Randomly picked users can be assigned to your task. They are called RealEye participants. We will not show them your stimuli before the test starts, so their interaction will be natural.

Note: RealEye participants can't take part in a 'Live Website' studies and studies longer than 10 minutes. Read more about the limitations here.

What’s the difference between own and RealEye panelists?

Your own participant is any person that you’ll invite using a participation link to your study. RealEye participant is a randomly picked person from our network of panelists from all over the world - mainly from the UK and the US. They can be hired to participate in the eye-tracking study, but not to participate in any external tool (eg. survey).

Note: RealEye participants can't take part in a 'Live Website' studies and studies longer than 10 minutes. Read more about the limitations here

Can I get more participants?

You can get additional participants at any time you need it. This will increase your limit in the current billing period only. Each additional slot for an own participant costs $1.2. Hiring Realeye participants is only $10 each.

When you order RealEye panelists, we make sure to provide the highest quality results. All recordings are checked by us to make sure that you get results with an accuracy of fewer than 175 pixels and at least a 20 Hz sampling rate. Assuring high-quality results usually requires us to pay for and check more panelists than you've requested, but we take that cost on us - so you pay only for the best results.

What equipment or setup does RealEye require?

Webcam Eye-tracking Hardware and Software Requirements

Do you provide Eye-Tracking Reports?

Our tool doesn’t generate reports. As a result you’ll receive gaze and mouse recordings, heatmaps with an AOI tool and CSV files (including the AOI data). You can download all the data you need: heatmaps as a PNG file, recordings as an MP4 file and the CSV file, easily translated into an excel file.

Can I integrate RealEye with other tools?

You can easily integrate the RealEye tool with external tools (eg. surveys), but also compare the results obtained from other tools using our CSV file (i.e. by the timestamp).

I have another question

Please visit https://support.realeye.io to learn more or use our contact form.