Agents that reduce work and information overload
Communications of the ACM
Automated instructor assistant for ship damage control
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Negotiation over tasks in hybrid human-agent teams for simulation-based training
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Bridging the physical and digital in pervasive gaming
Communications of the ACM - The disappearing computer
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Introducing Intelligent Environments, Agents and Autonomy to Users
IE '11 Proceedings of the 2011 Seventh International Conference on Intelligent Environments
Giving instructions in virtual environments by corpus based selection
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
"Act natural": instructions, compliance and accountability in ambulatory experiences
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
AtomicOrchid: a mixed reality game to investigate coordination in disaster response
ICEC'12 Proceedings of the 11th international conference on Entertainment Computing
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The assumed role of humans as controllers and instructors of machines is changing. As systems become more complex and incomprehensible to humans, it will be increasingly necessary for us to place confidence in intelligent interfaces and follow their instructions and recommendations. This type of relationship becomes particularly intricate when we consider significant numbers of humans and agents working together in collectives. While instruction-based interfaces and agents already exist, our understanding of them within the field of Human-Computer Interaction is still limited. As such, we developed a large-scale pervasive game called 'Cargo', where a semi-autonomous ruled-based agent distributes a number of text-to-speech instructions to multiple teams of players via their mobile phone as an interface. We describe how people received, negotiated and acted upon the instructions in the game both individually and as a team and how players initial plans and expectations shaped their understanding of the instructions.