Data underlying the conference paper: Interior design features predicting satisfaction with office workspace privacy and noise.

DOI:10.4121/d09043de-63d4-47da-9360-2a6d04d5ebd3.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/d09043de-63d4-47da-9360-2a6d04d5ebd3

Datacite citation style

Colenberg, Susanne (2023): Data underlying the conference paper: Interior design features predicting satisfaction with office workspace privacy and noise. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/d09043de-63d4-47da-9360-2a6d04d5ebd3.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2023-05-31 (latest)
Version 1 - 2023-05-30
Delft University of Technology logo

Usage statistics

339
views
296
downloads

Geolocation

The Netherlands

Time coverage

2021

Licence

CC0

Interoperability

Anonymous survey data on interior design features of office workspaces and user satisfaction with privacy and noise

History

  • 2023-05-30 first online
  • 2023-05-31 published, posted

Publisher

4TU.ResearchData

Format

*csv; *.pdf, *.txt, *.sav

Organizations

TU Delft, Faculty of Industrial Design Engineering, Department of Human-Centered Design.

DATA

Files (5)