eyelink experiment builder

The Eyelink Experiment Builder is a domain-focused tool that enables researchers to create, organize, and validate eye-tracking experiments without writing low-level scripts. Users define trials, conditions, stimuli, durations, and calibration blocks in a structured data model, then the tool translates these inputs into an Eyelink compatible script or JSON metadata. The workflow supports lab settings, classroom demonstrations, and remote studies by standardizing experiment structure, reducing human error, and accelerating study setup. It captures parameter constraints, ensures timing alignment across trials, and logs essential fields such as subject_id, trial_id, condition, and event timestamps.
Conceptually, the builder separates design from execution. Users build blocks of trials with attributes like duration_ms, stimulus_id, and condition, then apply flow rules such as fixed sequence, randomized order, or conditional branching. The core engine validates input ranges, resolves references to stimuli catalogs, and computes time stamps for events (stimulus onset, response windows, calibration steps). Outputs are export-ready scripts and metadata, enabling researchers to run experiments on Eyelink hardware or in compatible runtimes while preserving reproducibility across labs.
Target audiences include cognitive psychologists, HCI researchers, university labs, and advanced UX teams. The tool differentiates by offering integrated validation, deterministic randomization seeds, and batch export options that preserve experimental provenance. It does not perform data analysis, but it centralizes design, logging, and export tasks to streamline protocol sharing, peer review, and multi-site studies. By focusing on domain logic rather than UI, it supports precise replication and efficient collaboration.