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4 Common Challenges and Breakthroughs
Pages 17-22

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From page 17...
... Jeff Bradshaw suggested that intelligent human-machine systems may also have a role in virtual and real-world training activities. For example, by designing experiments that require individuals to adapt in a changing environment, both on the field and in the laboratory, researchers could study individual and team dynamics.
From page 18...
... For example, if a software agent incorrectly "guess es" a human's intent, it might unnecessarily automate a task -- thus leading to dangerous and unintended consequences. Padgham proposed the development of a "teaming compact" whereby humans and machines mutually communicate their capabilities, goals, and inten tions.
From page 19...
... For example, if a robot does not have good natural language or good visual sensing capabilities, perhaps anthropomorphized robot mouths or eyes will mislead humans to overestimate the robot's capabilities. While highly realistic Geminoid robots exist, Holly Yanco added that the "uncanny valley" factor should also be taken into consideration.
From page 20...
... Shared Resources for Shared Problems Using IH-MC to solve highly complex problems, Hoffman noted, re quires big research budgets, often in harsh economic climates. One path for ward, he proposed, might be to choose a single problem large enough to require international funding efforts.
From page 21...
... Perhaps, Padgham suggested, IHMC efforts to manage a small disaster would be appropriate for international funding and combined large-scale research efforts.


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