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DOI: 10.4121/1ac2b163-f9f5-4df0-9485-dc80ee3b632f

Tsfasman, Maria (2025): Code and results data underlying Chapter 4 of the PhD thesis: "Towards predicting memory in multimodal group interactions". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1ac2b163-f9f5-4df0-9485-dc80ee3b632f.v1

Categories

• Communication and Media Studies
• Artificial Intelligence and Image Processing
• Language, Communication and Culture
• 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 Multi-modal corpora Multimodal Interaction Multiparty interaction Non-verbal signals Personal relevance Social signal processing

Licence

CC BY-NC 4.0

Interoperability

• RO-Crate Metadata

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by Maria Tsfasman

This repository contains the complete code and experiment outputs for Chapter 4 of M. Tsfasman's PhD thesis "Towards predicting memory in multimodal group interactions". It provides Python scripts and notebooks for preprocessing multimodal data, training and evaluating machine learning models to predict memorable moments in conversations using features such as eye-gaze and speaker activity, and performing feature ablation studies to assess the importance of each input. The repository includes robust session-based cross-validation, hyper-parameter optimization, and tools for result visualization. It is designed for reproducible research and is an extended, methodologically improved version of a published ICMI 2022 paper*, supporting both local and cluster-based execution.

*M Tsfasman, K Fenech, M Tarvirdians, A Lorincz, C Jonker, C Oertel, "Towards creating a conversational memory for long-term meeting support: predicting memorable moments in multi-party conversations through eye-gaze,'' in Proc. International Conference on Multimodal Interaction (ICMI)}, pp. 94–104, 2022.

History

• 2025-07-25 first online, published, posted

Publisher

4TU.ResearchData

Format

.py, .sh, .csv, .ipynb, .err, .out, .txt, .yml, .sif, .tex, .md

Organizations

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