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AI Eye Movement Analysis to Detect Suspicious Gaze Behavior During Assessments

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AI tracks eye movement and gaze patterns during assessments to identify suspicious behavior. Detect potential use of external devices and ensure focused, independent performance.

  • Track attention. Detect anomalies. Hire with confidence.

Hidden Attention Shifts Enable Cheating

Candidates may look at external devices

Candidates may look at external devices

Phones, notes, or secondary screens

Hard to detect attention shifts manually

Hard to detect attention shifts manually

Subtle gaze changes are easy to miss

No structured way to track focus

No structured way to track focus

Visual monitoring alone is not enough

Incomplete visibility in remote hiring

Incomplete visibility in remote hiring

Attention behavior remains untracked

CoderScout Uses AI to Analyze Gaze and Attention Patterns

Track eye movement in real time

  • Monitor where candidates are looking during the test
Track eye movement in real time

Detect suspicious gaze behavior

  • Identify repeated off-screen attention patterns
Detect suspicious gaze behavior

Capture gaze snapshots

  • Store key moments for review
Capture gaze snapshots

Provide measurable insights

  • Quantify gaze behavior for better evaluation
Provide measurable insights

Why Teams Use Eye Movement Analysis

Detect use of external devices

Ensure candidate focus during assessments

Add deeper behavioral signals to evaluation

Increase confidence in remote hiring

Everything You Need for Gaze-Based Monitoring

AI Gaze Tracking

Track candidate eye movement and gaze direction during assessments

Suspicious Gaze Detection

Identify repeated off-screen or unusual attention patterns

Gaze Snapshot Capture

Capture and store key gaze moments for review

Playback Timeline Flagging

Highlight gaze events directly in session playback

Gaze Event Count Metrics

Show how many times candidate looked away or shifted focus

Integrated Trust Scoring

Incorporate gaze behavior into overall integrity score

From Eye Movement Tracking to Behavioral Insights

Enable Eye Movement Analysis

  • Activate gaze tracking in proctoring settings.
  • Enable webcam access.
  • Initialize AI tracking models.
  • Prepare monitoring environment.
Enable Eye Movement Analysis

Candidate Starts Assessment

  • Candidate begins the test session.
  • Webcam tracking starts automatically.
  • AI begins analyzing eye movement.
  • Ensure continuous monitoring.
Candidate Starts Assessment

Track Gaze in Real Time

  • Monitor eye movement and direction.
  • Track where candidate is looking.
  • Capture attention patterns.
  • Ensure uninterrupted tracking.
Track Gaze in Real Time

Detect and Capture Gaze Events

  • Identify suspicious gaze patterns.
  • Capture still snapshots of key moments.
  • Flag events on playback timeline.
  • Log gaze activity.
Detect and Capture Gaze Events

Generate Gaze Insights

  • Calculate total gaze deviation count.
  • Summarize attention behavior.
  • Highlight suspicious patterns.
  • Provide structured insights.
Generate Gaze Insights

Review and Decide

  • Review gaze snapshots and timeline flags.
  • Analyze behavioral patterns.
  • Combine with other proctoring signals.
  • Make confident hiring decisions.
Review and Decide

Built for Deep Behavioral Monitoring

Remote Hiring

Detect use of secondary devices

Technical Assessments

Ensure focused problem solving

High-Integrity Roles

Require strict evaluation standards

Campus Hiring

Ensure fairness at scale

Frequently Asked Questions

It is AI-based tracking of candidate gaze and attention during assessments

It detects repeated off-screen attention and unusual gaze patterns

Yes, snapshots and timeline flags are generated

Yes, AI continuously analyzes gaze behavior

It helps identify suspicious behavior and ensures candidate focus

Understand Candidate Attention in Every Test Highlight illustration for technical hiring platform

Track gaze behavior and ensure focused performance.

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