eyeris

eyeris provides a flexible, extensible, and reproducible pupillometry preprocessing framework in R that standardizes data handling for psychophysiological research on autonomic and cognitive processes.

Key Features:

• Preprocessing workflow: eyeris provides a recommended out-of-the-box preprocessing workflow with signal processing best practices for tonic and phasic pupillometry.
• FAIR data handling: eyeris follows Findability, Accessibility, Interoperability, and Reusability (FAIR) principles for standardized data management in pupillometry research.
• Quality control reports: eyeris generates interactive output reports for record keeping, sharing, and quality assurance of preprocessed pupil data prior to formal analysis.
• File management schema: eyeris follows a well-established file management schema to enable open and reproducible science workflows.

Scientific Applications:

• Pupillometry research: eyeris supports preprocessing of pupil data for studies investigating arousal, attention, stress, and emotional states as psychophysiological readouts of autonomic and cognitive processes.
• Reproducible science: eyeris enables transparent and adaptive high-fidelity pupillometry preprocessing to improve reproducibility in pupillometry research.

Methodology:

eyeris implements signal processing methods for tonic and phasic pupillometry; specific computational steps are modular and extensible within the R framework.