Ontology-Based Reflective Communication for Shared Human-AI Recognition of Emergent Collaboration Patterns

Ontology-Based Reflective Communication for Shared Human-AI Recognition of Emergent Collaboration Patterns

van Zoelen, E.M. (TU Delft BUS/TNO STAFF; TU Delft Interactive Intelligence)
van den Bosch, Karel (DIANA FEA)
Abbink, D.A. (TU Delft Human-Robot Interaction)
Neerincx, M.A. (TU Delft BUS/TNO STAFF; TU Delft Interactive Intelligence)

Aydoğan, Reyhan (editor)
Criado, Natalia (editor)
Sanchez-Anguix, Victor (editor)
Lang, Jérôme (editor)
Serramia, Marc (editor)

2023

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 ontology was evaluated empirically 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. Results show that the ontology supports humans to recognize and define Collaboration Patterns successfully. To improve the ontology, it is suggested to include pre- and post-conditions of tasks, as well as parallel actions of team members.

Co-learning
Collaboration Patterns
Human-agent team
Ontology

http://resolver.tudelft.nl/uuid:5e60aa60-4fc3-4d74-a647-24aee3da91b2

https://doi.org/10.1007/978-3-031-21203-1_40

Springer

2023-07-01

9783031212024

PRIMA 2022: Principles and Practice of Multi-Agent Systems - 24th International Conference, Proceedings

24th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, 2022-11-16 → 2022-11-18, Valencia , Spain

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 13753 LNAI

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2023 E.M. van Zoelen, Karel van den Bosch, D.A. Abbink, M.A. Neerincx