Speaker
Description
The present study builds on the Maze Task, a recent experimental paradigm particularly useful to study sentence processing with minimal spillover effects. Specifically, in our study, we explore how linguistic violations interact with sentence repetition. The structure of each sentence used in the study included seven words forming a transitive sentence followed by a prepositional phrase. The study design included three conditions: correct sentences, sentences with semantic violations, and sentences with syntactic violations between determiners and nouns. We conducted online experiments with 12 participants, utilizing a Latin square design for 36 trials per condition. Each trial consisted of a two-phase process: initial non-incremental self-paced reading followed by a repetition phase within the Maze Task, where participants repeated the sentence verbatim while non-words served as distractors. This maze procedure was repeated five times per sentence. Preliminary results, including error rates and reaction times, showed high mean accuracy (approximately 98%), which likely excluded any speed-accuracy trade-offs. Analysis using generalized linear mixed-effects models indicated increasing reaction times with more repetitions, markedly with semantic violations at the subject level. These initial findings highlight the Maze Task's potential to inform about how parsing affects working and short-term memory during sentence repetition. Our preliminary results challenges the hypothesis that repetition facilitates learning. Importantly, the present study capitalize on open-source tools and practices, ensuring compliance with Open Science standards implementing Born-Open data, and code available on GitHub to reproduce the task.
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