Abstract
In this chapter we explore the role of regulation in joint activity that is conducted among people and how understanding this better can enhance the efforts of researchers seek ing to develop effective means to coordinate the performance of consequential work within mixed teams of humans, agents, and robots. Our analysis reveals challenges to the quality of human-machine mutual understanding; these in turn set upper bounds on the degree of sophistication of human-automation joint activity that can be supported today and point to key areas for further research. These include development of an ontology of regulatory systems that can be utilized within human-agent-robotic teamwork to help with mutual understanding and complex coordination.
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Feltovich, P.J., Bradshaw, J.M., Clancey, W.J., Johnson, M. (2007). Toward an Ontology of Regulation: Socially-Based Support for Coordination in Human and Machine Joint Activity. In: O’Hare, G.M.P., Ricci, A., O’Grady, M.J., Dikenelli, O. (eds) Engineering Societies in the Agents World VII. ESAW 2006. Lecture Notes in Computer Science(), vol 4457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75524-1_10
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