[NEW PRODUCT] Webcam Eyetracking Event Classification System (WEECS) API

Today Adsata is proudly launching its first microservice for managing and analysing third-party webcam eyetracking data. The WEECS API allows users to detect fixations and saccades for their own webcam eyetracking data. The WEECS algorithm creates lebels for raw eyetracking data (i.e. x, y coordinates and timestamps) at a high accuracy rate of 80+% (tested). This is the same algorithm we use on Adsata's platform.

All of Adsata's microservices will be offered through the RapidAPI platform: https://rapidapi.com/organization/adsata

Background

Eye tracking is a technique used to monitor the eye movements of an individual while they are performing a task or engaging with stimuli. Eye tracking data typically consists of a series of time-stamped X and Y coordinates representing the position of the eyes on a screen or in the environment.

One common way to analyze eyetracking data is to identify and differentiate fixations and saccades, which are two types of eye movements. Fixations refer to the periods of time during which the eyes are relatively still and focused on a particular location, while saccades refer to the rapid, jerky movements the eyes make between fixations.

Here are some benefits of detecting fixations and saccades in eyetracking data:

1. Better understanding of visual attention: By identifying fixations and saccades, researchers can gain insight into how individuals allocate their visual attention when performing a task or engaging with stimuli. This can help in designing more effective visual displays and interfaces.
2. Quantification of task performance: The duration and frequency of fixations and saccades can be used as indicators of task difficulty or ease. For example, longer fixation durations may indicate that a participant is struggling to process information.
3. Identification of regions of interest: By analyzing fixations, researchers can determine which areas of a visual display are most salient to participants, and which areas are being ignored. This information can help in optimizing visual displays and advertising.
4. Comparison of groups: Comparing fixation patterns between different groups of participants (e.g., experts vs. novices) can provide insights into differences in cognitive processing or strategies used to complete a task.
5. Diagnosis of eye-related disorders: The analysis of fixation patterns can also be used in the diagnosis of eye-related disorders, such as dyslexia, attention deficit hyperactivity disorder (ADHD), and autism spectrum disorders.

Use cases

The analysis of fixations and saccades in eyetracking data has many practical use cases. Here are some examples:

1. Market research: Eye tracking is often used in market research to determine which areas of a product package or advertisement are most salient to customers. Fixation analysis can provide insights into the effectiveness of a marketing campaign and help businesses optimize their visual displays and advertising.
2. User interface design: Fixation analysis can also be used in the design of user interfaces for software or websites. By identifying which areas of the interface are most frequently fixated upon, designers can optimize the layout and design for ease of use and maximum user engagement.
3. Medical diagnosis: Eye tracking is also used in medical diagnosis, especially for disorders such as dyslexia, autism spectrum disorders, and attention-deficit/hyperactivity disorder (ADHD). By analyzing fixation patterns, doctors can gain insights into the cognitive processes of patients and determine appropriate treatment strategies.
4. Training and education: Eye tracking can also be used in training and education to determine which instructional materials and techniques are most effective for different learners. Fixation analysis can provide insights into which visual cues and learning resources are most effective for engaging learners and facilitating learning.
5. Human factors engineering: Eye tracking is often used in human factors engineering to optimize displays and interfaces for complex systems such as aviation or military applications. Fixation analysis can help engineers design displays that are easy to use and reduce the cognitive load on operators.
6. Psychology and neuroscience research: Eye tracking is widely used in psychology and neuroscience research to study attention, perception, and cognition. By analyzing fixation patterns, researchers can gain insights into the cognitive processes underlying human behavior and decision-making.

Example NodeJS API request

Request

const axios = require("axios");

const options = {
  method: "POST",
  url: "https://weecs.p.rapidapi.com/classify",
  headers: {
    "content-type": "application/json",
    "X-RapidAPI-Key": "SIGN-UP-FOR-KEY",
    "X-RapidAPI-Host": "weecs.p.rapidapi.com",
  },
  data: 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};

axios
  .request(options)
  .then(function (response) {
    console.log(response.data);
  })
  .catch(function (error) {
    console.error(error);
  });

Response

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