Intelligent Human-Machine Collaboration Summary of a Workshop (2012) / Chapter Skim
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2 Scenario Exercises
2 Scenario Exercises
Pages 3-10
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From page 3... ...
Kruijff, Alex Morison, Daniele Nardi, Lin Padgham, Satoshi Tadokoro Description: Mexico City's 18 million inhabitants live within 40 miles of Mount Popocatepetl, an active volcano that most recently erupted in 2000. Group A, a private enterprise dubbed "007 and Beyond," was given two years to develop a prototype for human-machine collaboration that would prepare for, respond to, and help with rebuilding following a major eruption.
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From page 4... ...
humans following an eruption could also be system "clients." By exploring numerous scenarios in advance, the simu lator could be used before a disaster to help design evacuation and responder protocols and after a disaster to help plan and manage search and rescue opera tions in real time. The group also designed the "iVolcano app" to facilitate inter actions between the information repository and the humans, agents, and robots that use it.
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From page 5... ...
Generally, though, the robot would still be very constrained in its capabilities, and after five years it would still not be a partner for the human furniture maker. Scenario C: Hospital Service Robotics Moderator: Candy Sidner Group Members: Paul Maglio, Candy Sidner, Liz Sonenberg, Tom Wagner, Rong Xiong, Holly Yanco Description: A large healthcare organization calculates the enormous sums spent in simply moving things -- food, laundry, trash, wheelchairs, even pa
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From page 6... ...
This system would include the following attributes: robots that can safely lift and carry patients; robots and agents that can engage in natural speech with humans; a networked system of robots and agents that can effective ly communicate with each other and with relevant hospital staff; agents and ro bots that can successfully negotiate task priorities with humans (and with each other) ; agents and robots that are capable of prioritizing and carrying out re quests from multiple operators; and robots and virtual agents that can interact appropriately with patients of varying ages, cognitive abilities, emotional states, and medical conditions.
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From page 7... ...
The ideal system must have a degree of complexity, Neerincx suggested, to develop models of the trainees that the virtual instructor can use to provide useful feedback in an ongoing way, and to change the nature of the training as the trainees improve. Within two years, the group suggested, it would be possible to establish a basic evolving framework if the following subtasks could be accomplished: (1)
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From page 8... ...
The PSA's key capabilities would be mobile sensing; monitoring standard procedures to detect anomalies and possibly alert the astronaut when things go wrong; supporting normal pro cedures such as providing astronauts with temporal cues (e.g., "The next step is this.") and spatial cues (e.g., by asking, "Did you look at this thing?
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From page 9... ...
The PSA would also have to be sufficiently resilient to adapt to a revised plan if its astronaut changes the sequence of a task for good reason. To achieve this, humans and their PSAs would undertake joint training prior to their mission.
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