Data underlying the research of: human trustworthiness in 2D grid-world human-AI team interaction
doi: 10.4121/21982991.v1
The doi 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: 10.4121/21982991
doi: 10.4121/21982991
Datacite citation style:
Ferreira Gomes Centeio Jorge, Carolina; Tielman, Myrthe; C.M. (Catholijn) Jonker (2023): Data underlying the research of: human trustworthiness in 2D grid-world human-AI team interaction. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21982991.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
categories
licence

This dataset contains both computed metrics and self-reported measures of an experiment of human-AI teamwork in a 2D grid-world. These metrics relate to ability, benevolence and integrity, as well as overal metrics of success in the task. The experiment had a between-subject design and 4 conditions (mode column): normal, ability, benevolence and integrity.
Code in: https://github.com/centeio/click-collect
Demo video in: https://youtu.be/89dSfAgS0LY
history
- 2023-02-06 first online, published, posted
publisher
4TU.ResearchData
format
.csv
funding
- Hybrid Intelligence (HI): augmenting human intellect (grant code 024.004.022) [more info...] Dutch Research Council
- Delft AI Initiative
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems
DATA
files (3)
-
7,502 bytesMD5:
6d72678241b60dc3e2cc232f4d3dc879
Readme.txt -
36,421 bytesMD5:
ada7e7351c53c4ac392a105cbf1da634
merged.csv -
123,905 bytesMD5:
a12249e147b5c593793c02386ca9587a
questionnaire.pdf - download all files (zip)
167,828 bytes unzipped