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DOI: 10.4121/8fbb4c07-4ba2-4892-8753-2c909e0a4609

van Zoelen, Emma; van den Bosch, Karel; Rauterberg, Matthias; Barakova, Emilia; Neerincx, M.A. (Mark) (2025): Leader-Follower Behavior in Human-Robot Co-Adaptation, data underlying the publication: Identifying Interaction Patterns of Tangible Co-Adaptations in Human-Robot Team Behaviors. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/8fbb4c07-4ba2-4892-8753-2c909e0a4609.v1

Categories

• Other Psychology and Cognitive Sciences
• Other Information and Computing Sciences
• Psychology and Cognitive Sciences
• Information and Computing Sciences

Keywords

human-robot collaboration interaction patterns leader-follower behavior qualitative coding

Time coverage

2021

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Emma van Zoelen , Karel van den Bosch , Matthias Rauterberg , Emilia Barakova , M.A. (Mark) Neerincx

This data was gathered in an experiment in a physical human-robot collaborative task environment, meant to explore emergent human-robot co-adaptions and derive the interaction patterns. The paradigm provides a tangible human-robot interaction (i.e., a leash) that facilitates the expression of unconscious adaptations, such as “leading” (e.g., pulling the leash) and “following” (e.g., letting go of the leash) in a search-and-navigation task. The task was executed by 18 participants, after which we systematically annotated videos of their behavior.

The details of the research for which this data was collected and the experiment can be found here: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2021.645545/full

History

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

Publisher

4TU.ResearchData

Format

csv

Associated peer-reviewed publication

Identifying Interaction Patterns of Tangible Co-Adaptations in Human-Robot Team Behaviors

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