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Feb 25, 2023 173 likes •306 views

Human-Machine Teaming for Unmanned Maritime Operations Pedro Patron Collaborative Technologies Maritime Autonomy & Technology Showcase 15 th November 2018 Identify what collaborators know so the effort of your actions can stretch to get

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Human-Machine Teaming for Unmanned Maritime Operations

Pedro Patron

Collaborative Technologies

Maritime Autonomy & Technology Showcase 15thNovember 2018

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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

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TTCP Dstl UW’16

Joint points (the hip)

AUV Operator (Tablet) ROV Operator (Console) Diver (Handheld) Boat/USV Pilot (Dashboard)

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Trust by exchanging of mental model

DATA ORIGINAL MODEL

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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

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Trust by transparency

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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

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Interacting in natural language

(click image for video)

Prof. H. Hastie, Dr D. Robb, J. Chiyah

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Participating in the mission

Location Vehicle information Vehicle Compass – heading Map Field of view Objectives Vehicle path to objective

(click image for video)

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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

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