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DOI: 10.4121/ce75abd0-fad5-48fb-b5a2-f3d974fcd628

Tsfasman, Maria; Ghorbani, Ramin; Jonker, Catholijn M.; Dudzik, Bernd (2025): Code underlying the publication: "The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ce75abd0-fad5-48fb-b5a2-f3d974fcd628.v1

Categories

• Artificial Intelligence and Image Processing
• Information and Computing Sciences

Keywords

Affect Affective Computing Automatic meeting support systems Conversational memory Emotional saliency First-party memory annotation Group interaction Memory encoding Memory retention Multimodal Interaction Non-verbal signals Personal relevance Social signal processing Time-series analysis

Licence

CC BY-NC 4.0

Interoperability

• RO-Crate Metadata

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by Maria Tsfasman , Ramin Ghorbani , Catholijn M. Jonker, Bernd Dudzik

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.

History

• 2025-07-24 first online, published, posted

Publisher

4TU.ResearchData

Format

.md, .ipynb, .py, .csv, .sh, .yml, .sif

References

• https://doi.org/10.48550/arXiv.2507.14084

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Interactive Intelligence