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

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/

Internet

https://eprints.nottingham.ac.uk/35458/

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