Mohammad Nili

Visual Attention Analyses

Eye-Tracking

Our Eye-Tracking Analyses provide a comprehensive framework for quantifying visual attention, oculomotor behavior, cognitive processing, and decision-making. These analyses are suitable for both controlled experiments and real-world interfaces, enabling insights into attention allocation, gaze patterns, cognitive load, and user experience.

Supported methods include:
  • Fixation Analysis
  • Gaze Duration
  • Time to First Fixation (TTFF)
  • Scanpath Analysis

Cortical-FC

Spatial Distribution Analyses

Eye-Tracking

Our Eye-Tracking Spatial Distribution Analyses Characterization of gaze distribution across a scene or image.

Supported methods include:
  • Heatmaps
  • Areas of Interest (AOI) Analysis

Mohammad Nili

Eye Movement Metrics

Eye-Tracking

Our Eye Movement Metrics Analyses of oculomotor behavior and dynamics.

  • Saccades
  • Fixation Count
  • Saccade Amplitude

Cortical-FC

Cognitive Load & Processing Analyses

Eye-Tracking

Our Cognitive Load & Processing Analyses, Using eye-tracking to infer cognitive processes and mental effort.

Supported methods include:
  • Pupil Dilation
  • Blink Rate
  • Reading Patterns

Mohammad Nili

Eye Decision & User Experience Analyses

Eye-Tracking

Our Eye Decision & User Experience Analyses, Evaluating how users interact with interfaces and make choices.

  • Choice Analysis
  • Usability Testing Metrics