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Video links. Aggregation: http ://www.youtube.com/watch?v= 9foi342LXQE Brian Blessed GPS : http ://www.youtube.com/watch?v=- JpKuYbJQK4. “Are you talking to me ?”. What to say when you are talking to a robot. Dr. Nava Tintarev Dept. of Computing Science University of Aberdeen. - PowerPoint PPT Presentation
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Video linksAggregation:
http://www.youtube.com/watch?v=9foi342LXQE
Brian Blessed GPS:
http://www.youtube.com/watch?v=-JpKuYbJQK4
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“Are you talking to me?”
What to say when you are talking to a robot.
Dr. Nava TintarevDept. of Computing Science
University of Aberdeen
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We are the SAsSY project
This is short for Scrutable Autonomous Systems
There are six of us:Logician/Computer scientist on reasoning Computer scientists on generating text from dataComputer scientists on human computer interactionPsychologist, or rather a psycholinguist
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We are the SAsSY project
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Why I got into computing…
“Yes, this system is a little bit finicky. It won’t let me put this in directly”
“Machine at train station will not let me buy a ticket!”
“Why is it picking this route when the other one is about 10 miles shorter?”
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The problem…The system needs to tell us things
What if the system sounded like Brian Blessed (1.15-2.00)?
And we need to tell it some things back
Or ask it questions – “this one?”
No, not of the @?$!% kind…
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ASIMO immediately recognizing customers' intention by a show of hands, Honda.com, 26 June 2013
Let’s talk about Robots….
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What’s a computer?
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Autonomous systems
Computers that do not look like humans
But they can ‘see’ and ‘think’ (calculate) and ‘react’ (according to a program) and‘learn’ (collect new information) and‘talk’ (send information to) people or other computers
on their own.
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Autonomous systemsThey can do things that we cannot do
Too boring, too complicated, or maybe too dangerousLike Fukushima
Sort of like a robot…
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What could possibly go
wrong?
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What could possibly go wrong
The U.S. states of Nevada, Florida and California permit the operation of autonomous cars .
The first license for an autonomous car was given in May 2012.
An unmanned aerial vehicle (UAV), also known as a drone, is an aircraft without a human pilot on board.
The United States government has made hundreds of attacks on targets in northwest Pakistan since 2004 using drones (unmanned aerial vehicles).
Drones also used for policing and firefighting, and nonmilitary security work, such as surveillance of pipelines.
With great power comes great responsibility…
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The problemAutonomous systems act on behalf of the user
Should the GPS have a mind of its own?
The system’s decisions are often opaque to the userWhy did it turn off here?
The user should be able to view and challenge decisions “Hey car, that’s not right! Why are we turning off at the next junction?”
Solution: Keep people in the loop. Give them explanations!
“There’s a traffic jam coming up, you’ll get home quicker taking this country road!”
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Pilot Authority Control of Tasks (PACT)
PACT level
Computer autonomy
Levels of Human Machine Interface(Modified from Taylor, 2001)
5b Computer monitored by pilot
Computer does everything autonomously
5a Computer chooses action, performs it and informs human
4b Computer backed up by pilot
Computer chooses action and performs it unless human disapproves
4a Computer chooses action and performs it if human approves
3 Pilot backed up by computer
Computer suggests options and proposes one of them
2 Pilot assisted by computer
Computer suggests options to human
1 Pilot assisted by computer only when required
Human asks computer to suggest options and human selects
0 Pilot Whole task done by human except for actual operation
HumanAction
HumanMonitors
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A solution: Explanations
From Keith, you should go to Elgin instead of Aberlour. This is because Keith to Aberlour is blocked by snow.
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Example: Logistics
Deliver a package from Aberdeen to Inverness
User prefers to go via Aberlour to see the Highlands but the system routes them through Elgin.
Elgin
Aberlour
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Put another way…
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Two plansA (Aberdeen - Keith - Elgin -
Inverness)B (Aberdeen - Keith - Aberlour -
Inverness)
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And a set of reasons and arguments….From Keith – to can go to either Elgin or AberlourYou cannot do both.
If Keith to Aberlour is impassableThen you should not go through Aberlour.
And you should go through Elgin
Elgin Aberlour
Aberlour
Snow inAberlou
r!
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Which gives us a plan and a dialogTwo plans:A (Aberdeen - Keith - Elgin - Inverness)B (Aberdeen - Keith - Aberlour - Inverness)
System suggests A
User asks why not B, which is preferable
System says that one of the actions of B is not executable because of counter-argument (impassable)
The user re-instates plan B by giving a counter-counter-argument (ploughed)
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DiscussionUser: why not Aberlour
System: Keith to Aberlour is blocked by snow (morning report)
User: the road has just been ploughed (new knowledge)
System: okSystem: Drive from Keith to Aberlour
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A slight detour…Natural Language
Generation…
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Where it gets tricky
Size: Thousands of steps, hundreds of decisions
What is possible and needed?A person cannot drive for more than 3 hrs straight.You can only refuel at certain places
ResourcesNumber of trucks a deliver company has
Multiple partiesDifferent delivery companies have different interests
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Where it gets tricky
TailoringThe driver will need different information from the coordinator!And different information before and during his/her time on the road.
Information presentationAggregation and summariesGraphics or textHow best to combine
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Some of the things we’ve done
so far
Information presentation
Before we can ask why, we need to understand the what…
Mostly language (English), but also graphs.
How hard is the information to understand?
26/30
Demo: plansSTRIP plans are difficult to read in
standard notation
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But there are ways to remove redundant text using aggregation
Text is more natural and easier to read
Demo: plans
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“What have the romans ever given us?”
How many objects can we join together?http://www.youtube.com/watch?v=9foi342LXQE
“Load the truck. Load the van. Load the car” vs“Load the truck, the van and the car.”
No known limit
Similarity of words likely to matterLoad the ship and the dishwasher.Load the truck and the van.
29/30
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So we are working on
ArgumentationDistributed planningInformation presentation (NLG)User modelling All informed by experiments with people!
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VisionComplex systems
Share information
Making important decisions
But we still need to know what is going on
AND add our input
Checking it with people in experiments
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Come talk to us!
Blog: http://sassyproject.wordpress.com/
Official: http://www.scrutable-systems.org
Nava Tintarev, [email protected]