Voice Loops as Coordination Aids in Space ShuttleMission Control
Computer Supported Cooperative Work
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
KAoS Policy Management for Semantic Web Services
IEEE Intelligent Systems
Ten Challenges for Making Automation a "Team Player" in Joint Human-Agent Activity
IEEE Intelligent Systems
A language/action perspective on the design of cooperative work
Human-Computer Interaction
ESAW'06 Proceedings of the 7th international conference on Engineering societies in the agents world VII
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
Simulating activities: Relating motives, deliberation, and attentive coordination
Cognitive Systems Research
Implementing collective obligations in human-agent teams using KAoS policies
COIN'09 Proceedings of the 5th international conference on Coordination, organizations, institutions, and norms in agent systems
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
Towards reasoning with partial goal satisfaction in intelligent agents
ProMAS'10 Proceedings of the 8th international conference on Programming Multi-Agent Systems
Human-agent teamwork in cyber operations: supporting co-evolution of tasks and artifacts with luna
MATES'12 Proceedings of the 10th German conference on Multiagent System Technologies
Policy-Based Governance within Luna: Why We Developed Yet Another Agent Framework
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
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Joint activity, as we define it, is a mutually interdependent social endeavor that requires sufficient predictability among participating parties to enable coordination. Coordination, in turn, sometimes requires the parties to appraise the state of progress of their activities so that, if necessary, they can adjust their actions to meet coordination needs and communicate their status to others as appropriate. A significant impediment as yet precluding the full participation of automation in joint activity with people is its inability to sense and communicate aspects of its state that would allow other participants to meaningfully assess progress toward (or anticipate failure with respect to) mutual objectives. In the current article, we address various issues associated with "progress appraisal" and the challenges it poses for human-machine systems. We point to promising directions for future work.