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: 10.4121/998296ec-7696-4180-8d7e-9af8588b1182

Centeio Jorge, Carolina; C.M. (Catholijn) Jonker; Tielman, Myrthe (2024): Data for Interdependence and Trust Analysis (ITA): a Framework for Human-Machine Team Design. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/998296ec-7696-4180-8d7e-9af8588b1182.v1

Dataset

• Artificial Intelligence and Image Processing
• Other Psychology and Cognitive Sciences
• Cognitive Sciences
• Other Information and Computing Sciences
• Psychology and Cognitive Sciences
• Information and Computing Sciences

human-AI teamwork, human-machine collaboration, interdependence, task allocation, team design, trust

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Carolina Centeio Jorge , C.M. (Catholijn) Jonker , Myrthe Tielman

This data includes the analysed transcripts of the second phase of evaluation's focus group. It includes an excel file with the coding scheme, the double coding results, and the anonymised utterances with their respective final codes/labels.

• 2024-02-29 first online, published, posted

4TU.ResearchData

xlsx

• Delft AI Initiative
• Hybrid Intelligence Center (a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research).

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