Dashboard Help

Quick Guide

Upload: Click [Upload] to select an image or video file.
You can upload up to 10 files at once. Wait for the files to finish uploading and appear in the image list.

Learn more about input image and input video

Analysis Options: Adjust the Analysis Options settings to optimize results based on your specific requirements.

Add AOIs: Click [AOIs > Add area] to create multiple AOIs, enabling the analysis engine to generate AOI scores for the Fixations & Visual Features

Generate Reports: Click [Analyze] to analyze the image or video.
Wait few seconds for the reports to load.
Learn more about Reports

Download Reports: Click [Download > All reports as zip] to download and save all report files to your computer.

Data Retention: File and report availability depends on your account plan.
Uploaded files and reports are automatically deleted based on your subscription type: after 3 months for monthly subscribers, 1 year for annual subscribers.

Data Storage: Each account includes a Storage quota. Once this limit is reached, uploading new files will be disabled. To manage your storage, you can download or delete reports at any time to free up space.

Heatmap report

The Heatmap report visually represents viewer attention dynamics within an image or video.
It overlays a color gradient onto the original content, highlighting areas that attract more attention than others.
This report provides insights into viewer behavior, showcasing which elements within the image or video draw the most attention.
This visualization aids in understanding audience engagement and allows for informed decisions in content creation and optimization.

Use the Heatmap report to:
Visualize which elements attract more attention than others.

Interpreting the results:
The Heatmap report closely (92%) correlates with traditional eye tracking of 40 viewers, illustrating how areas of the original image or video attract attention.
The heatmap colors range from green through yellow to red, representing low, medium, and high levels of attention, respectively.
Areas with no color imply that they will be overlooked.

Focus Map report

The Focus map (Opacity) report tones down information that is not attractive and visually displays what your viewers may perceive during the first few seconds of visual inspection.
The map report uses a transparency gradient.
Focus Map report is also referred to as 'Opacity' and 'Fog Map' report

Use the Focus report to:
Emphasize which areas are being perceived and which are being ignored.

Interpreting the results:
The report shows the parts of the media with the highest counts or longest fixations and shades the rest of the media.
The most transparent areas are those that attract more attention.

Areas of Interest report

The Areas of Interest (AOIs) report reveals a score of the predicted probability that a person will look at the area along with detailed diagnostics to show why the region is likely to get attention.
An Area of Interest (AOI), is an edited area where the metrics are calculated. Metrics such as visibility score, time to first fixation, fixations count etc'.
You can click and drag boxes to create AOIs surrounding specific areas inside your stimuli. Tagging these areas allows the analysis engine to output AOI statistics for the Fixations & Visual Features
Areas of Interest is also referred to as 'Regions of Interest'

Use the Areas of Interest report to:

Define areas inside the image to determine the Visibility Score of this area.
Every AOI is reported with detailed data about fixations and visual features.
Compare results between different versions of your design and layout.

Interpreting the results:
The Visibility Score is a summary metric that indicates how salient are the visuals inside an area. The score is calculated based on the highest heatmap value found inside the AOI region. 0% means no attention at all, and 100% means this area will be mostly noticeable.
Most attention is located at areas with more or longer fixations.

To generate an AOIs report, Click on "Add Area" to add a new AOI area.
Resize and move the AOI area to adjust its location and dimensions.
Click "Analyze" to update the AOIs report with the latest AOIs details.

Fixations & Visual Features

This AOIs data table holds the Fixations and Visual Features data for each Area of Interest (AOI).
Fixations

	Visibility Score (percentage) Visibility Score is a summary metric that indicates how salient are the visuals inside this region. The score is calculated based on the highest heatmap value found inside the AOI region. High value (>= 25) means that area is noticeable.
	Time To First Fixation (milliseconds) The time in milliseconds from when the stimulus was shown until the start of the first fixation within an Area Of Interest (AOI). Also referred to as 'TTFF' and 'Time Until Noticed'. Low value (<= 1500) means that the viewers reached very fast to this area.
	Fixations Before (number) The number of fixations before the participant fixated within an AOI for the first time. Low value (<= 5) means that the viewers reached very fast to this area.
	Fixation Length (milliseconds) The length of the fixations in milliseconds within an AOI. High value (>= 500) means that the viewers are spending more time inside this area.
	Fixation Count (number) The number of fixations within an AOI. High value (>= 2) means that the viewers fixated several times inside this area.

Visual Features
Visual Features are major contributors to the calculation of AOI score.
Drawing attention requires the object to have a significant contrast from surrounding objects and background. The Percentage value represents how much of the AOI area is covered by this visual feature.
The Visual Features report is : intensity (top left), orientation and edges (top right), red/green color contrast (bottom left) and blue/yellow color contrast (bottom right).

Interpreting the results:
If the AOI Visibility Score is low, not visible enough, and you wish to increase the score and make the object more prominent, the visual features gives you cues about how to achieve that.
Inspect which visual feature of this AOI is low and change its design to make it higher.
Design change can be done by changing intensity (dark/light), orientation (change angle of the object), adding or reducing edges (texture and text), color contrast (red/green or blue/yellow) adding or removing faces.

	Intensity Features Intensity score measures the visual strength of an AOI by analyzing its contrast, brightness, and saturation levels. A higher score indicates a bold, attention-grabbing area, while a lower score suggests a softer, less prominent region. High attention is equal or above 50%.
	Edges Features Edges Score measures the amount of edge detail within an AOI by analyzing lines, contours, text, and sharp transitions. A higher score indicates a region with strong, well-defined edges, which can attract visual attention but may also contribute to visual clutter and noise. A lower score suggests a smoother, less detailed area, which can enhance clarity but may reduce emphasis on that region. High attention is equal or above 50%.
	Red Green Contrast Red-Green Contrast measures the visual difference between red and green tones within an AOI. Higher contrast indicates a strong distinction between these colors, which can enhance visibility and draw attention. Lower contrast suggests a more blended or neutral color balance, making the AOI less visually distinct. This contrast is important because red and green are opposing colors in human vision, influencing perception, readability, and focus. High attention is equal or above 50%.
	Blue Yellow Contrast Blue-Yellow Contrast measures the visual difference between blue and yellow tones within an AOI. A higher contrast indicates a strong distinction between these opposing colors, making the area more visually striking and attention-grabbing. A lower contrast suggests a more blended or neutral color balance, reducing the AOI’s visual prominence. This contrast is significant because blue and yellow sit opposite each other in the human visual system, influencing perception, depth, and visual appeal. High attention is equal or above 50%.

Improving the results:
A high contrast between an element and its surrounding will increase the element's visibility.
Intensity - Increasing brightness increases intensity.
Edges - Adding edges, texture and text will increase Edges value
Color - Measure the color contrast of an AOI element and alter it to reduce or induce its visibility.

Identify the dominant color of the element (foreground) and the dominant color of its surrounding (background).
Measure the color contrast ratio of the two colors.
Change the element or its background luminance to increase or decrease the color contrast ratio.

Color Contrast ratios can range from 1 to 21 (commonly written 1:1 to 21:1).
Minimum contrast for reading text is 4.5:1
The contrast of black foreground over a white background is 21:1

Color Contrast ratio calculators
https://contrastchecker.com contrastchecker tool also include a color quantization. contrast checker/
Color picker browser extension
https://www.colorzilla.com/chrome/

Color Quantization tools:
To identify the colors inside the image, you can use color quantization tools:

Aesthetics report

Aesthetics report enables you to examine the emotional aspects of aesthetics.

Based on several large scale studies with millions ratings of visual appeal collected from nearly 10 thousand participants, we developed computational models that accurately measure the perceived visual complexity and excitingness.

Viewers will judge design as beautiful or not within 1/50th to 1/20th of a second.
Visually complex designs are consistently rated as less beautiful than their simpler counterparts.

Facial Expressions Report

Facial coding is the process of measuring human emotions through facial expressions.
Feng-GUI detects faces in images or videos and analyzes their facial expressions.
Facial expressions report describes the level of eight expressions for each detected face.
The expressions are: Neutral, Happy, Surprise, Sad, Anger, Disgust, Fear and Contempt.
When multiple faces are detected, the expression values are aggregated.
Feng-GUI service is trained using public emotion datasets containing 0.5 million images and videos, manually labeled for the presence of facial expressions along with the intensity of valence and arousal.

Overall Scores Report

Analyzing a video frame by frame involves extracting Focus, Complexity, Approach, and Withdraw scores to understand viewer attention and engagement. This process segments the video, applies eye tracking algorithms to each frame, and extracts scores indicating where viewers focus, how they engage with complexity, navigate through the content, and when they withdraw attention. These scores are then plotted on a timeline graph, with seconds along the x-axis and scores on the y-axis. This visualization helps identify viewer behavior patterns and key moments, aiding in the optimization of video design and storytelling techniques for better viewer experience.

The date values are available in "Gaze Plot Data" csv file.
Focus and Complexity are taken from Focus report.
Emotions and Expressions data aggregated into two simpler scores of Approach and Withdraw.
Expressions are: Neutral, Happy, Surprise, Sad, Anger, Disgust, Fear and Contempt.
Approach = Happy + Surprise + Anger + Contempt
Withdraw = Sad + Disgust + Fear

Compare Reports

Compare action enables you to compare several reports in a single view.
Select few images from the gallery using the CTRL button and click Compare.

Watch video tutorial

With this feature, you can select specific images and instantly compare AOI values through a detailed table.
For each image, the comparison table provides scores on key metrics:

Visibility Score for each defined AOI
Clear – the clarity of the content
Complex – the cognitive demand of visual elements
Focus – the concentration of viewer attention
Exciting – the engagement potential

To ensure accurate comparison, it's essential that all selected images have the same AOI names defined.
To facilitate this, you can easily copy AOIs from one image and paste them onto others.
Once pasted, simply adjust each AOI’s position and size to ensure they align accurately with the intended elements in each design.
This step is key for producing reliable and meaningful comparisons.

This comparison report is particularly valuable when evaluating different variants of packaging, web layouts, or ad visual designs.
By comparing these metrics across versions, you gain insights into which design elements capture attention most effectively.

The report can be easily copied to the clipboard or downloaded as a CSV file, providing a convenient way to integrate insights into your workflow.

With Feng-GUI’s AOI's Compare, selecting the most effective design to enhance visual impact and viewer engagement has never been easier.

Scores

Overall Score

The Overall Score is a composite metric that represents the total visual effectiveness of the entire image. It combines multiple attention-based scores — Visibility, Focus, Clarity, and Exciting — into a single, easy-to-compare value.
The score reflects how well the image captures attention, maintains visual focus, and delivers clear and engaging content overall

The value ranges from 0 to 100.

Above 75 is excellent. The image is highly noticeable and engaging.
Between 50–75 is good. The image attracts a moderate level of attention.
Under 25 is low. The image is not drawing meaningful attention.

Visibility Score

The Visibility Score is a summary metric that indicates how salient are the visuals inside this region. The score is calculated based on the highest heatmap value found inside the AOI region.
The percentage of participants that fixated at least once within an AOI. The value is the probability of having a visual fixation within first few seconds inside this AOI region.
Visibility Score is also referred to as 'Participant percentage' and 'Seen By (%)'.

The value ranges from 0 to 100.

Above 75 is excellent and it means that this area will be mostly noticeable.
Between 50-75 is good and some attention is drawn to this area.
Under 25 is low and 0 means no attention at all within the View Duration

Clarity Score

Clarity measures how visually clean and simple an image or video is, in contrast to complexity.
Complexity is determined by the number of regions, corners, and features within a frame. High visual clutter increases complexity and reduces clarity, making it harder for viewers to focus on key elements.
In videos, clarity is also influenced by motion, scene transitions, and visual noise. Smooth, well-structured visuals enhance focus, while excessive movement and clutter can create confusion.

A high Clarity score indicates a clean, simple, and easy-to-follow design.
A low Clarity score suggests a visually busy, complex, and potentially overwhelming experience.
The value ranges from 0 to 100.

Above 75 is excellent and clear.
Between 25-75 is good.
Under 25 is bad and clutter.

Improving the results:
Some designs are less clear than others simply because they contain too much content.
You should aim to increase clarity. Clear design reduces cognitive load and ensure that the viewers will see what you want them to see.

To improve clarity, you need to reduce clutter:

Reduce unnecessary text.
Use more images. Human perception of clutter is much more forgiving of imagery than of text.
Increase the amount of whitespace or padding around content.
Use images with less texture and fewer lines.
Organize the design into easily distinguishable content blocks.
Reduce number of tasks user has to perform.
Reduce amount of information user has to keep in mind.

Complexity Score

Complexity is the opposite of Clarity.
The Complexity Score reflects how visually dense or detailed an image is. A higher score indicates more visual elements—such as shapes, edges, and textures—that can compete for the viewer’s attention.
A lower score suggests a simpler, cleaner design that may be easier to process at a glance.
High visual clutter increases complexity and reduces clarity.
Complexity is also referred to as 'Cognitive Demand'.
Ratings of appeal are significantly negatively affected by an increase in visual complexity. The more complicated the stimuli is, the worse the people perceived it's attractive.

A high score means highly confusing, complex and cluttered design.
A low score means that the design is clean, simple and clear.

The value ranges from 0 to 100.

Above 75 is bad and clutter.
Between 25-75 is good.
Under 25 is excellent.

Improving the results:

Simplify backgrounds: Use solid or subtle textures to avoid distraction.
Limit the number of fonts and colors: Too many variations can overwhelm the eye.
Group related elements: Use spacing and alignment to create organized layouts.
Reduce unnecessary details: Remove decorative elements that don’t add functional value.
Use whitespace effectively: Empty space helps focus attention and improves readability.
Keeping complexity in check helps ensure your design communicates clearly and effectively.

Focus Score

Focus is calculated by the distribution of fixations as a measure of mental workload and our sensitivity to cognitive demand.
The Focus Score measures how tightly grouped the visual attention is within a design. It is based on the Nearest Neighbor Index (NNI), which analyzes the spatial distribution of fixation points (i.e., where users are likely to look).
A lower NNI indicates that fixations are more densely clustered, suggesting a strong focal point in the design. Conversely, a higher NNI indicates a more dispersed pattern of attention.

To make the score intuitive and comparable, we scale the NNI from its typical range of 0–2.15 to a 0–100 scale, where:
* 100 represents highly concentrated focus (tight fixation clusters).
* 0 represents highly scattered visual attention (widely spaced fixations).
This helps designers quickly understand how visually focused their content is.
Focus score depends on View Duration. High duration increases the number of fixations and reduces the focus score.

The value ranges from 0 to 100.

Above 75 is excellent and focused.
Between 25-75 is a different levels of clustered. There are more gaze points to agree upon.
Under 25 is bad and random.

Excitingness Score

The Excitingness Score measures how colorful, vivid, and visually rich a design is.
It does not evaluate the actual content of the image (such as objects, text, or layout).
A high score means the design is bright, vivid, and colorful.
A low score means the design is calm, muted, or less colorful.

There is no right or wrong in high or low score value.
Many successful websites use calm, minimalist designs and may naturally receive a lower Excitingness score.
As a reference, a high Excitingness value for websites is above 25, while for ads it is above 50.

The value ranges from 0 to 100.

Above 75 could affect Clarity, if there are large amount of contrasting elements and not enough white space.
Between 25-75 is a healthy exciting value
Under 25 is calm and dull design

Balanced Score

A high score means that the design is symmetrical, balanced and harmonic.
A low score means unbalanced and asymmetrical.
The cyan grid outlines Color vertical and horizontal symmetry.
The magenta grid outlines Intensity vertical and horizontal symmetry.
The Balance score is the arithmetic mean of the above four values.

The value ranges from 0 to 100.

Above 60 is balanced.

Improving the results:

Compartmentalize your design by using grids.
Pick two or three base colors at most for your design.
Make elements stand out by adding white space around them.
Consistent fonts and typography
Have all elements connected

Input Image

Input Name, Size and Format
- File Name: The characters allowed for file name are a-z A-Z 0-9 - (dash) . (dot) _ (underscore)
  The maximum supported file name length is 100 characters.
  Illegal file names will be renamed by the service into a random GUID file name.
- The supported input file formats are: png, jpg, jpeg
- Image file maximum size is 20MB.
- Transparent pixels with no color are treated as black pixels.

Dimensions
- Recommended image dimensions: 1024x768, 1280x720, 1920x1080
- Minimum 800x600. Using smaller dimensions may result in reducing accuracy of the analysis.
- Maximum 3840x2160. Using larger dimensions will not improve the analysis accuracy and could increases the processing time.
- Dimensions over 3840x2160 are automatically scaled down.
- Prefer using landscape orientation (wide) over portrait orientation (tall).
- Aspect ratio should not exceed 2:1 for landscape or 1:2 for portrait.
Quality
Use your highest quality images. We recommend on using PNG files.
You can use JPG format, as long as the image was created using no compression and 100% quality.
As JPG is a lossy compression method, it can add compression artifacts into the image and affect the analysis results.

Product and Package image
- Prefer landscape or square images.
- Add at least 10% of blank margins around the product.

Input Website

To quickly create a website screenshot image and upload it, use the menu action Upload > Web Address
Be aware that website capture can be inaccurate due to page speed or behavior.
For an accurate screenshot, you should create the screenshot manually, using a browser add-on, and then upload the image using the menu Upload > Image File

To create a web snapshot, you can use a browser add-on such as:
* Awesome Screenshot
* Fireshot
* Paparazzi for Mac OSX
Capture the visible part of the webpage.
Create a website screenshot which contains only the webpage itself. Do not include the surrounding browser UI elements.

Input Video

Input Name, Size and Format
- File Name: The characters allowed for file name are a-z A-Z 0-9 - (dash) . (dot) _ (underscore)
  The maximum supported file name length is 100 characters.
  Illegal file names will be renamed by the service into a random GUID file name.
- The supported input file formats are: mp4
- Video file maximum size is 100 MB.
- Video format codec supported is: H264 - MPEG-4 AVC (part 10) (avc1)
- Video duration is limited to 240 seconds

Dimensions
- Recommended video dimensions: 1280x720 (720p), 1920x1080 (1080p)
- Prefer using landscape orientation (wide) over portrait orientation (tall).
- Dimensions over 1280x720 are automatically scaled down to 720p.
Video Analysis Analyzing a video takes several minutes, depending on video duration.

Analysis Options

Settings that control the way data is analyzed, including the methods used and the scope of the analysis.

View Type
Applies to image and video analysis.

Set the visual context of the input image or video.
Available options are: Any, Online, Natural, Package, Outdoor and Indoor

Any: (Default) Covers a wide range of viewing environments, applicable when no specific context is required or when multiple contexts are relevant.
Online: Pertains to websites, software interfaces, and digital content where users interact with on-screen elements. Ideal for analyzing UI/UX, app design, or banner ads.
Natural: Refers to passive visual experiences such as nature photography, lifestyle imagery, or cinematic visuals, where viewers absorb content without interactive intention.
Package: Focuses on physical packaging and product design as encountered in shopping or unboxing situations. Often analyzed for shelf appeal and branding impact.
Outdoor: Applies to open-air environments like city streets or events, involving exposure to billboards, signage, and public advertisements.
Indoor: Captures controlled interior environments such as retail stores, showrooms, or malls where people engage with products or displays in a defined space.

View Distance
Applies to image and video analysis.

Set the viewer distance from this image or video.
Available options are: Any, Desktop Screen, Mobile, Print, Indoor Signage, Package Design and Outdoor Billboard.

Any: (Default) Encompasses flexible viewing ranges suitable for varying contexts and individual experiences.
Desktop Screen: The optimal viewing distance for a desktop screen is about 20-30 inches (50-76 cm) from the eyes, allowing users to comfortably view the entire display without excessive eye movement.
Mobile/TV Screen: When interacting with handheld devices or watching television, users typically view mobile phones from about 10-12 inches (25-30 cm) and TVs from 6-10 feet (1.8-3 meters), depending on screen size. This category includes devices primarily used for close or moderately close personal viewing, ensuring readability and interactive engagement.
Print: For printed materials like magazines, books and tablets, the usual viewing distance is about 15-18 inches (38-46 cm), allowing for comfortable reading and scanning of content.
Indoor Signage/Shelf: Indoor signage is often designed to be viewed from a distance of a few feet, roughly 3-10 feet (1-3 meters), depending on the size of the sign and the space in which it is displayed. This category also includes shelf displays, typically viewed from very close range, about 2-4 feet (60-120 cm), as shoppers examine products directly at eye level or within arm’s reach.
Package Design: Packaging is often examined from about 1-2 feet (30-60 cm) away, as consumers handle products closely to read details and evaluate designs.
Outdoor Billboard: Billboards are designed to be viewed from long distances, typically at least 100 feet (30 meters) away or more, requiring large text and bold visuals to capture attention of moving viewers.

View Duration
Applies only to image analysis.

Set the viewer duration time in seconds. Default is 5 seconds.
Available options are: 0-2.5 seconds, 0-5 seconds, 0-7.5 seconds.

Auto create AOIs
Applies only to image analysis.

Auto create and add AOIs to the AOIs list
Automatic creation of Areas of Interest (AOIs) using object detection algorithms works by identifying key objects or elements in an image, such as faces, products, or text, using machine learning models. These models scan the image, draw bounding boxes around detected objects, and automatically designate these areas as AOIs.

The process is fast and accurate, removing the need for manual AOI creation, and focuses on elements that naturally attract user attention, such as faces or important design elements like buttons or headlines. This automation helps optimize designs by ensuring that the most critical areas are highlighted.

Report Options

Configurable options that determine how reports are generated and formatted.

Draw map legend and scores on reports
Applies only to image analysis.

Add a Map Legend Overlay to Reports
The map legend is a small box in the corner of the report that displays parameter information, helping users interpret the data more easily.

Merge input image as report background
Applies only to image analysis.

Overlay the original image as the background for heatmap and gaze plot reports. Uncheck this option to generate the heatmap without merging it with the original image.

White Focus report
Applies only to image analysis.

Generate a Focus report with a white overlay instead of the default black overlay.

Display Focus scores
Applies to image and video analysis.

Image: Add a Focus Scores gauge overlay to the Focus report.
Video: Add Focus Scores overlay to video reports.

Display Aesthetic scores
Applies to image and video analysis.

Image: Add Aesthetic Scores gauge overlay to the Aesthetics report.
Video: Add Aesthetic Scores overlay to video reports.

Merge Overall Scores report
Applies only to video analysis.

Add Overall Scores report to the bottom of all video reports.

Dashboard Help

Quick Guide

Heatmap report

Gaze Plot report

Focus Map report

Areas of Interest report

Fixations & Visual Features

Aesthetics report

Facial Expressions Report

Overall Scores Report

Compare Reports

AI Assistant

Scores

Overall Score

Visibility Score

Clarity Score

Complexity Score

Focus Score

Excitingness Score

Balanced Score

Input Image

Input Website

Input Video

Analysis Options

Report Options

Share Report

Customization

Team Sharing

Affiliate