Human-Machine Teaming for Unmanned Maritime Operations · Trust Teaming “The willingness of a...
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Transcript of Human-Machine Teaming for Unmanned Maritime Operations · Trust Teaming “The willingness of a...
Human-Machine Teaming for Unmanned Maritime OperationsPedro Patron
Collaborative TechnologiesMaritime Autonomy & Technology Showcase15th November 2018
Trust
Teaming
“The willingness of a party to be vulnerable to the actions of another party based on the expectation that the other will perform a particular action important to the trustor, irrespective of the ability to monitor or control that other party”*
“Identify what collaborators know so the effort of your actions can stretch to get things done more effectively together while having the ability to see another’s perspective”*
*own interpretation from definitions from Harvard Business Review, and Mayer et al., 1995, p. 712
TTCP Dstl UW’16
Joint points (the hip)
AUV Operator(Tablet)
ROV Operator(Console)
Diver (Handheld)
Boat/USV Pilot(Dashboard)
Trust by exchanging of mental model
DATAORIGINAL MODEL
Trust by clear communication
Start the mission!
On my way
How long until mission
completion?
55 minutes
Starting survey OpArea0. All previous objectives
completed.
OK. Proceed
Abort objective. Vehicle SN224
taking over.
I am not receiving any updates from side-scan
sonar
Trust by transparency
10 bytes
20 bytes
5 bytes
1 packet
Sharing the mental model
Original
25 bytes
50 bytes
70 bytes
3 packets
Reconstruction
8192 bytes
Transmission
100 bytes
10 packets
200 bytes
4096 bytes
(JPG compression)
(semantic compression)
200 packets
20 bytes / packet
Interacting in natural language
(click image for video)Prof. H. Hastie, Dr D. Robb, J. Chiyah
Participating in the mission
Location
Vehicleinformation
Vehicle
Compass – heading Map
Field of view
Objectives
Vehicle path to objective (click image for video)
Summary
Current manned–unmanned teaming is limited, reducing operators to ‘autonomy observers’
Control can be replaced by Trust when interactions are transparent at sharing mental model
Tasking becomes dynamic and fluid with all teammates participating
AR and Natural Language are valid mechanisms for enhancing human-machine interactions
