22 & 23 May 2025: Join the mini-conference on Open and FAIR in Natural and Engineering Sciences. Register to attend.

Dataset: A Music Recommender System for Constructed Music Evoked Episodic Memories (CMEEMs)- non-personal data

DOI:10.4121/39b8137d-301e-4fa2-817f-bbd4b791ea30.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/39b8137d-301e-4fa2-817f-bbd4b791ea30

Datacite citation style

Raingeard de la Blétière, Paul; Neerincx, M.A. (Mark); Schaefer, Rebecca; Oertel, Catharine (2025): Dataset: A Music Recommender System for Constructed Music Evoked Episodic Memories (CMEEMs)- non-personal data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/39b8137d-301e-4fa2-817f-bbd4b791ea30.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains data collected during an experiment at Delft University of Technology, as part of Paul Raingeard de la Bletiere PhD Thesis project.

It is being made public both to act as supplementary data for publications and the PhD thesis of Paul Raingeard de la Bletiere and in order for other researchers to use this data in their own work.

The data in this dataset was collected through a website accessed by participants between August 2024 and December 2024.

This research project was made possible by a grant from the Dutch Research Council (NWO) (Grant Number KICH1.GZ02.20.008). Additional support from Alzheimer Nederland is gratefully acknowledged.

The purpose of this experiment was to test a music recommender system linking music with specific episodic memories chosen by participants, through a discussion with a virtual agent. This specific part of the data relates to the ratings of recommendations by participants.

History

  • 2025-04-08 first online, published, posted

Publisher

4TU.ResearchData

Format

csv

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Interactive Intelligence
Leiden University, Institute for Psychology: Health, Medical & Neuropsychology Unit

DATA

Files (1)