How training and experience affect the benefits of autonomy in a dirty-bomb experiment

doi:10.1145/1349822.1349844

How training and experience affect the benefits of autonomy in a dirty-bomb experiment

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Authors:	David J. Bruemmer	Idaho National Laboratory, Idaho Falls, ID, USA
	Curtis W. Nielsen	Idaho National Laboratory, Idaho Falls, ID, USA
	David I. Gertman	Idaho National Laboratory, Idaho Falls, ID, USA

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	· Proceeding
	HRI '08 Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
	ACM New York, NY, USA ©2008 table of contents ISBN: 978-1-60558-017-3 doi>10.1145/1349822.1349844

	2008 Article
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Tags: algorithms autonomous vehicles design expert user human factors human-robot interaction map-building measurement operator interfaces performance reliability seamless autonomy sensors

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