SAIL: A Social Artificial Intelligence Layer for Human-Machine Teaming
van der Vecht, B.
van Diggelen, J.
van der Waa, J.
Demazeau, Y. (editor)
Bo, A. (editor)
Bajo, J. (editor)
Fernández-Caballero, A. (editor)
Human-machine teaming (HMT) is a promising paradigm to approach future situations in which humans and autonomous systems closely collaborate. This paper introduces SAIL, a design method and framework for the development of HMT-concepts. Starting point of SAIL is that an HMT can be developed in an iterative process in which an existing autonomous system is enhanced with social functions tailored to the specific context. The SAIL framework consists of a modular social layer between autonomous systems and human team members, in which all social capabilities can be implemented to enable teamwork. Within SAIL, HMT-modules are developed that construct these social capabilities. The modules are reusable in multiple domains. Next to introducing SAIL we demonstrate the method and framework using a proof of concept task, from which we conclude that the method is a promising approach to design, implement and evaluate HMT-concepts.
To reference this document use:
Social artificial intelligence
Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018, 262-274
Lecture Notes in Computer Science