Design patterns for human-AI co-learning

Design patterns for human-AI co-learning: A wizard-of-Oz evaluation in an urban-search-and-rescue task

Schoonderwoerd, Tjeerd A.J. (TNO)
van Zoelen, E.M. (TU Delft Interactive Intelligence; TNO)
Bosch, Karel van den (TNO)
Neerincx, M.A. (TU Delft Interactive Intelligence; TNO)

2022

The rapid advancement of technology empowered by artificial intelligence is believed to intensify the collaboration between humans and AI as team partners. Successful collaboration requires partners to learn about each other and about the task. This human-AI co-learning can be achieved by presenting situations that enable partners to share knowledge and experiences. In this paper we describe the development and implementation of a task context and procedures for studying co-learning. More specifically, we designed specific sequences of interactions that aim to initiate and facilitate the co-learning process. The effects of these interventions on learning were evaluated in an experiment, using a simplified virtual urban-search-and-rescue task for a human-robot team. The human participants performed a victim rescue- and evacuation mission in collaboration with a wizard-of-Oz (i.e., a confederate of the experimenter who executed the robot-behavior consistent with an ontology-based AI-model). The designed interaction sequences, formulated as Learning Design Patterns (LDPs), were intended to bring about co-learning. Results show that LDPs support the humans understanding and awareness of their robot partner and of the teamwork. No effects were found on collaboration fluency, nor on team performance. Results are used to discuss the importance of co-learning, the challenges of designing human-AI team tasks for research into this phenomenon, and the conditions under which co-learning is likely to be successful. The study contributes to our understanding of how humans learn with and from AI-partners, and our propositions for designing intentional learning (LDPs) provide directions for applications in future human-AI teams.

Design patterns
Human-AI co-learning
Human-AI collaboration
Learning design patterns
Urban-search-and-rescue
Wizard-of-Oz study

http://resolver.tudelft.nl/uuid:a40e7a91-3eb8-4868-9802-cbb7ddb10bcc

https://doi.org/10.1016/j.ijhcs.2022.102831

1071-5819

International Journal of Human-Computer Studies, 164

Institutional Repository

journal article

© 2022 Tjeerd A.J. Schoonderwoerd, E.M. van Zoelen, Karel van den Bosch, M.A. Neerincx