Identification and Formalization of Human-Machine Collaboration Patterns, data underlying the publication: Ontology-based Reflective Communication for Shared Human-AI Recognition of Emergent Collaboration Patterns

DOI:10.4121/2d0f80df-1ae8-407e-bc5f-f2e570bbb306.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: 10.4121/2d0f80df-1ae8-407e-bc5f-f2e570bbb306

Datacite citation style

van Zoelen, Emma; van den Bosch, Karel; Abbink, D.A. (David); Neerincx, M.A. (Mark) (2025): Identification and Formalization of Human-Machine Collaboration Patterns, data underlying the publication: Ontology-based Reflective Communication for Shared Human-AI Recognition of Emergent Collaboration Patterns. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/2d0f80df-1ae8-407e-bc5f-f2e570bbb306.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

When humans and AI-agents collaborate, they need to continuously learn about each other and the task. We propose a Team Design Pattern that utilizes adaptivity in the behavior of human and agent team partners, causing new Collaboration Patterns to emerge. Human-AI Co-Learning takes place when partners can formalize recognized patterns of collaboration in a commonly shared language, and can communicate with each other about these patterns. For this, we developed an ontology of Collaboration Patterns. An accompanying Graphical User Interface (GUI) enables partners to formalize and refine Collaboration Patterns, which can then be communicated to the partner. The dataset was gathered in an empirical evaluation with human participants who viewed video recordings of joint human-agent activities. Participants were requested to identify Collaboration Patterns in the footage, and to formalize patterns by using the ontology’s GUI.


The files contain an overview of the formalized Collaboration Patterns per participant, as well as a coding of whether they were recognized and formalized correctly and completely.


The details of the research for which this data was collected and the experiment can be found here: https://doi.org/10.1007/978-3-031-21203-1_40

History

  • 2025-05-09 first online, published, posted

Publisher

4TU.ResearchData

Format

xlsx (excel sheets)

Funding

  • TNO DO AIO Fonds (grant code 4099 DO AIO Fonds) TNO

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems
Dutch Organisation for Applied Scientific Research - TNO, Defence, Safety & Security Unit, Human-Machine Teaming

DATA

Files (12)