Large-scale study of human memory for meaningful narratives.

ABSTRACT: The statistical study of human memory requires large-scale experiments, involving many stimulus conditions and test subjects. While this approach has proven to be quite fruitful for meaningless material such as random lists of words, naturalistic stimuli, like narratives, have until now resisted such a large-scale study, due to the quantity of manual labor required to design and analyze such experiments. In this work, we develop a pipeline that uses large language models (LLMs) both to design naturalistic narrative stimuli for large-scale recall and recognition memory experiments, as well as to analyze the results. We performed online memory experiments with a large number of participants and collected recognition and recall data for narratives of different sizes. We found that both recall

SUBMITTER: Georgiou A 

PROVIDER: S-EPMC11852912 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature