Designing interaction
A pragmatic principle for agent communication
Proceedings of the third annual conference on Autonomous Agents
Conceptual Coordination: How the Mind Orders Experience in Time
Conceptual Coordination: How the Mind Orders Experience in Time
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
Keeping It Too Simple: How the Reductive Tendency Affects Cognitive Engineering
IEEE Intelligent Systems
Ten Challenges for Making Automation a "Team Player" in Joint Human-Agent Activity
IEEE Intelligent Systems
Proceedings of the 3rd international conference on Knowledge capture
Toward trustworthy adjustable autonomy in KAoS
Trusting Agents for Trusting Electronic Societies
Roles for agent assistants in field science: understanding personal projects and collaboration
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Progress Appraisal as a Challenging Element of Coordination in Human and Machine Joint Activity
Engineering Societies in the Agents World VIII
From Individuals to Social and Vice-versa
Engineering Societies in the Agents World IX
The fundamental principle of coactive design: interdependence must shape autonomy
COIN@AAMAS'10 Proceedings of the 6th international conference on Coordination, organizations, institutions, and norms in agent systems
Monitoring conformance to the internal regulation of an MSc course using ontologies and rules
EGOVIS'11 Proceedings of the Second international conference on Electronic government and the information systems perspective
Designing alarm device for socio-technical systems: co-active or coercive design?
Proceedings of the 3rd International Conference on Application and Theory of Automation in Command and Control Systems
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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.