Code underlying the publication: "The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?"

This repository contains all code, scripts, and notebooks used for the analyses in the paper “The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?” 1. It includes Jupyter notebooks for pre-processing raw memory and affect annotation data, scripts and results for metrics computation on real data, and a full pipeline for generating, simulating, and analyzing experimental data under various null hypotheses (3 experiments described in the paper). All code is organized for reproducibility and modularity, but no original data is included. Users must provide their own data files as described in the README. The repository enables end-to-end reproduction of the analyses and figures presented in the paper, from raw data processing to final results.