Researcher Profile

Sanjida Suchi

Geospatial Researcher
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Research Focus

  • • Eye-tracking Analysis
  • • Visual Attention Studies
  • • User Experience Research
  • • Spatial Data Visualization

Tools & Technologies

  • • RealEye Software
  • • Heatmap Analysis
  • • Data Visualization
  • • Statistical Analysis

Project ID

Research ID: 0119445

Focus Area: Arctic Sea Ice Decline

Study Type: User Interaction Analysis

Eye Tracking and Image Evaluation

A Study on Visual Attention Patterns in Arctic Sea Ice Decline Map Analysis

Eye Tracking Attention Analysis Emotional Response Visual Cognition

Research Objectives

Primary Goals

  • • Track participant eye movements during map interaction
  • • Analyze attention distribution patterns
  • • Evaluate emotional responses to visual stimuli

Data Quality

  • • Ensure eye-tracking data integrity
  • • Validate emotional response measurements
  • • Maintain high sampling rate accuracy

Key Findings

Heatmap Analysis
Figure 1: Heatmap- Attention Map

Heatmap Analysis

The heatmap visualization revealed distinct patterns in participant attention:

  • Yellow and red zones indicated high fixation areas
  • Blue and green tones showed areas of lower attention
  • Clear correlation between legend changes and attention patterns
Emotional Engagement
Figure 1: Emotional Engagement

Emotional Response Data

Analysis of emotional fluctuations revealed:

  • Tracked "happy" and "surprise" emotional states
  • K-coefficient peaks indicating heightened engagement
  • Correlation between visual elements and emotional responses

Technical Implementation

Data Collection

  • • RealEye software implementation
  • • Continuous gaze tracking
  • • High-precision sampling rate

Quality Metrics

  • • E-T Data Grade: Perfect rating
  • • Gaze tracking integrity: High accuracy
  • • Screen involvement: Consistent

Research Impact

The eye-tracking survey provided valuable insights into participant attention and emotional responses to the "Arctic Sea Ice Decline" map. The use of heatmaps and Areas of Interest (AOIs) revealed key areas of visual focus, while emotional analysis added depth to understanding viewer interactions. The high-quality eye-tracking data ensures the credibility of findings and supports further exploration into visual cognitive processes.