Data underlying the BSc thesis: Effect of Facial Realism on Presence in Collaborative Virtual Environments

DOI:10.4121/5ef9e932-fb11-46f5-9698-60174bfac5ff.v2
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: 10.4121/5ef9e932-fb11-46f5-9698-60174bfac5ff

Datacite citation style

Slik, Joshua B. (2024): Data underlying the BSc thesis: Effect of Facial Realism on Presence in Collaborative Virtual Environments. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/5ef9e932-fb11-46f5-9698-60174bfac5ff.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2024-07-01 (latest)
Version 1 - 2024-06-26

questionnaire.csv contains raw, unprocessed presence questionnaire data. q1 through q17 columns contain 7 point Likert-type scale agreement responses to various questions concerning presence in virtual environments.

data_processed.csv contains the processed questionnaire data, with added columns for presence scores (means by subscale, see paper), and updated person_ids to make them unique across dyads, not within dyads. Code used for data processing and analysis is available https://github.com/JoshCode/thesis-vr-presence-2024

experiment_times.csv contains time data for the experiments, for every condition how long each dyad's interaction, described in the paper, was.


Please read the README.md file for column descriptions, data types and data ranges.

History

  • 2024-06-26 first online
  • 2024-07-01 published, posted

Publisher

4TU.ResearchData

Format

text/csv

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science

DATA

Files (4)