Abstract
Eye tracking is a central methodological approach for studying attention and language processing during reading. The validity and reproducibility of results depend on data quality, clear methodology, and consistent preprocessing. This article presents a comprehensive, step-by-step protocol for collecting high-quality eye-tracking data in reading studies. The protocol begins with laboratory environment preparation and equipment setup, then proceeds to selecting and configuring eye-tracking hardware and software, and to stimulus preparation and experimental design. Participant management, informed consent, and documentation of linguistic and psychometric characteristics are conducted. Calibration and validation procedures are then performed, with participant comfort and data quality closely monitored online during data collection. The preprocessing pipeline includes exporting raw data in standard formats, data cleaning, fixation, and saccade detection (employing velocity-based and dispersion-based algorithms) with clearly defined parameters, visual inspection for signal loss and noise control, vertical drift correction for multiline text, and extraction of standard reading measures (fixation duration, saccade metrics, word skipping, and regression rates). Throughout the protocol, alignment between research questions and hardware specifications, management of drift through regular checks, and detailed reporting of all critical parameters and decisions are particularly emphasized. Successful data collection typically results in stable validation accuracy within set limits, low data loss rates, and interpretable distributions of fixation durations and saccade behavior that reproduce well-known effects related to word length, frequency, and predictability. The protocol is compatible with desktop eye trackers, common software environments, and both head-stabilized and head-free arrangements, addressing practical issues such as lighting conditions, reflections from glasses, and changes in participant posture. This study presents a clear, practical protocol that consolidates methodological guidance into a unified workflow. It aims to support reliable eye-tracking data collection in reading research, promote replicability and meta-analyses, improve consistency across laboratories and groups, and ultimately strengthen the scientific credibility of reading research.