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Eye Tracking for Great Apes

Overview​

The Eye Tracking for Great Apes project represents the TTF-DDG's entry into comparative cognition research. This task is being developed in collaboration with the work package events team to enable eye-tracking studies with non-human primates.

Status: 🔄 In Progress Technology: Eye-tracking Target Population: Great apes Collaboration: Work package events team

Project Background​

Research Context​

Eye-tracking studies with great apes provide crucial insights into:

  • Visual attention and perception
  • Cognitive processing
  • Social cognition
  • Comparative psychology
  • Evolution of language-related abilities

Foundation: Peekr Eye Tracking System​

This project builds directly on the knowledge and technical expertise gained from the TTF-DDG's work on Peekr, a browser-based eye tracking system that was completely repackaged in one week.

Key Knowledge Transfer from Peekr:

  • Eye tracking system architecture and design
  • Calibration workflow implementation (critical for non-verbal subjects)
  • Temporal filtering techniques (Kalman filters for data stability)
  • Real-time video processing pipelines
  • Computer vision integration strategies
  • User interface design for eye tracking tasks

The Peekr project served as a knowledge-building exercise that prepared the TTF-DDG team for the unique challenges of great ape eye tracking, including:

  • Non-verbal calibration procedures
  • Engagement and motivation systems
  • Robust data quality assurance
  • Specialized hardware integration

Learn more about Peekr →

TTF-DDG Role​

The TTF-DDG is providing technical expertise to:

  • Design specialized eye-tracking task systems
  • Adapt technology for non-human primate subjects
  • Integrate with existing research protocols
  • Ensure robust data collection
  • Support analysis workflows
  • Apply lessons from Peekr modernization

Collaboration with Work Package Events​

Partnership Structure​

  • Work Package Events: Research design, subject expertise, testing
  • TTF-DDG: Technical implementation, system development, support

Joint Development Process​

  1. Requirements gathering from primatology research
  2. Technical feasibility assessment
  3. Prototype development and testing
  4. Iterative refinement based on feedback
  5. Deployment and ongoing support

Technical Challenges​

Unique Requirements​

1. Non-Human Subject Considerations​

  • Challenge: Subjects cannot follow verbal instructions
  • Approach: Intuitive, visual-only interfaces with natural attractors

2. Physical Setup​

  • Challenge: Eye-tracking hardware positioning for non-human anatomy
  • Approach: [Custom mounting solutions, calibration procedures]

3. Calibration​

  • Challenge: Standard calibration routines don't work with great apes
  • Approach: [Novel calibration methods using rewards/natural behaviors]

4. Engagement & Motivation​

  • Challenge: Maintaining subject attention and participation
  • Approach: [Reward systems, engaging stimuli, short sessions]

5. Data Quality​

  • Challenge: More variable data than human studies
  • Approach: [Robust filtering, validation algorithms, quality metrics]

Current Development Status​

Completed Work​

  • ✅ Initial collaboration established with work package events
  • ✅ Requirements analysis
  • ✅ Technical approach defined
  • ✅ [Other completed milestones]

In Progress​

  • 🔄 Eye-tracking system integration
  • 🔄 Stimulus presentation development
  • 🔄 Calibration procedure implementation
  • 🔄 Data processing pipeline
  • 🔄 Testing with equipment

Upcoming Work​

  • ⏳ Pilot testing with subjects
  • ⏳ Protocol refinement
  • ⏳ Analysis tool development
  • ⏳ Documentation and training materials

Technical Implementation​

System Architecture​

Hardware Components​

  • Eye-tracking device: [Specific model/type]
  • Presentation display: [Screen specifications]
  • Computing system: [Processing hardware]
  • Reward delivery system (if applicable): [Details]

Software Components​

  1. Stimulus Presentation Module

    • Visual stimuli delivery
    • Timing control
    • Randomization and counterbalancing

  2. Eye-Tracking Interface

    • Hardware communication
    • Calibration management
    • Real-time gaze data collection

  3. Data Collection System

    • Gaze data recording
    • Event logging
    • Session management
    • Quality monitoring

  4. Analysis Pipeline

    • Data preprocessing
    • Gaze metric calculation
    • Visualization tools
    • Export formats

Technology Stack​

  • Platform: [Operating system/environment]
  • Programming: [Languages and frameworks]
  • Eye-Tracking SDK: [Manufacturer SDK]
  • Data Format: [Output format for analysis]

Research Applications​

Experimental Paradigms​

This system will support:

  • Visual preference studies
  • Social attention tasks
  • Scene perception experiments
  • Face processing studies
  • Cross-species comparative research

Measurable Variables​

  • Gaze fixation locations
  • Fixation durations
  • Saccade patterns
  • Areas of interest (AOI) analysis
  • Pupil diameter (if available)

Data Integration​

  • Behavioral coding integration
  • Video recording synchronization
  • Environmental variable logging

Innovations & Contributions​

Technical Innovations​

  1. Ape-Specific Calibration: Novel approaches to eye-tracker calibration
  2. Engagement Optimization: Methods to maintain subject participation
  3. Data Quality Assurance: Algorithms adapted for non-human data characteristics
  4. Automated Analysis: Pipelines tailored to comparative research needs

Research Contributions​

  • Enable new lines of comparative eye-tracking research
  • Provide validated protocols for great ape studies
  • Contribute to cross-species methodology development
  • Support evolutionary cognitive science

Validation & Testing​

Development Testing​

  • Hardware integration testing
  • Software functionality validation
  • Calibration procedure verification
  • Data pipeline testing

Pilot Studies​

[Plans for initial testing with subjects]

Refinement Process​

  • Iterative improvements based on testing
  • Protocol optimization
  • User feedback integration

Future Enhancements​

Planned Features​

  • Multi-subject tracking capabilities
  • Extended analysis tools
  • Integration with other behavioral measures
  • Standardized protocols for the library

Long-term Vision​

  • Contribute to comparative cognition research infrastructure
  • Enable multi-site studies
  • Provide reference implementation for primate eye-tracking
  • Support broader comparative research community

Documentation & Training​

Under Development​

  • System setup guide
  • Calibration protocols
  • Experimental design guidelines
  • Data collection procedures
  • Analysis tutorials
  • Troubleshooting guide

Training Plans​

  • Hands-on training sessions
  • Video documentation
  • Best practices manual
  • Safety and animal welfare guidelines

Collaboration Opportunities​

Current Needs​

  • Feedback from primatology researchers
  • Access to testing facilities
  • Pilot study participation
  • Protocol validation

Future Collaboration​

We welcome:

  • Extension to other species
  • Additional experimental paradigms
  • Multi-site validation studies
  • Methodological contributions

Contact us to collaborate →

Progress Updates​

Latest Status: [Date]​

[Recent developments and milestones]

Next Milestones​

  1. [Upcoming milestone 1]
  2. [Upcoming milestone 2]
  3. [Upcoming milestone 3]

Impact​

For Comparative Research​

  • Advanced tools for primate cognition studies
  • Standardized methodologies
  • Reduced technical barriers
  • Enhanced data quality

For NCCR​

  • Expansion into comparative approaches
  • Support for work package events
  • Cross-species research capabilities
  • Methodological innovation

For the Field​

  • Open methodologies for community use
  • Replicable protocols
  • Technical documentation
  • Validated approaches

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