Human factors of semi-autonomous robots for urban search and rescue

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Human factors of semi-autonomous robots for urban search and rescue

During major disasters or other emergencies, Urban Search and Rescue (USAR) teams are responsible for extricating casualties safely from collapsed urban structures. The rescue work is dangerous due to possible further collapse, fire, dust or electricity hazards. Sometimes the necessary precautions a...

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Bibliographic Details
Main Author:	Gabrecht, Katharina M.
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2016
Subjects:	Human Factors Ergonomics Urban Search and Rescue SAR USAR disaster robots trust interface workload task complexity transparency reliability semi-autonomous autonomy performance autoethnography Unity Virtual reality
Online Access:	https://eprints.nottingham.ac.uk/35458/

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