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Alan Dix
https://alandix.com/aibook/
@alanjohndix @CompFoundry
Designing User Interactions with AI
servant, master or symbiosis
personal interest
some examples
AI and User Interaction
Ethics
Human
like
Computing
Ethics
Human
like
Computing
AI
helping
UI
UI
helping
AI
front-end user-facing
back-end developer-facing
focus
Ethics
Human
like
Computing
touchstone phrases
alien intelligence
not as we know it
appropriate intelligence
fitting within interaction framework
optimise the human–AI system, not just the AI
sufficient reason
explanations we would accept from a human being
critical for AI explainability
styles of collaboration
Servant – we tell AI what to do (explicitly)
Master – AI tells us what to do, e.g. Uber
Symbiosis – using complementary abilities
“Man-Computer Symbiosis”
J. C. R. Licklider, March 1960
N.B. boundaries may be blurred
– e.g. maps interfaces, recommendations
Designing User Interactions with AI
servant, master or symbiosis
Alan Dix
https://alandix.com/aibook/
@alanjohndix @CompFoundry
interacting with AI
from adaptive websites to semi-autonomous cars ...
think about abilities (function allocation)
– rote vs creative
– pattern finding vs interpretation
think about handover
– physical handover
– regaining situational awareness
– not at the last moment!
design for interacting with AI
some heuristics ...
deterministic ground
– knowing what may change
appropriate intelligence
– when it all goes wrong
deterministic ground ... for menus
David
Mary
Florence
Adrian
Andy
Brian
Charlotte
Colin
David
Devina
. . .
Message
adaptive area
most popular/likely at top
quick when it gets it right
deterministic ground
alphabetic below
still easy to scan when it isn’t
Adrian
Andy
Brian
Charlotte
Colin
David
Devina
Elizabeth
Florence
George
. . .
Message
deterministic ground ... for menus
… another option
adaptive aspect
highlight most
popular/likely items
deterministic ground
overall order
always alphabetic
rules of standard AI interfaces
1. it should be right as often as possible
2. when it is right it should be good
rules of appropriate intelligence
1. it should be right as often as possible
2. when it is right it should be good
3. when it isn’t right ...
it shouldn’t mess you up
what makes
a system
really work!
✗ ✔
onCue
• intelligent ‘context sensitive’ toolbar
• sits at side of the screen
• watches clipboard for cut/copy
• suggests useful things to do
with copied date
20 21 22 23
25 24 20 17
7 7 3 7
the dancing histograms very useful a
ing out some of the textile sites yo
x's page at http://www.hiraeth.com/
onCue (dot com days!)
intelligent ‘context sensitive’ toolbar
histograms
user selects text
and copies it to clipboard
icons slowly fade in
Designing User Interactions with AI
servant, master or symbiosis
Alan Dix
https://alandix.com/aibook/
@alanjohndix @CompFoundry
cooperation and adaptation
adapting AI for human interaction
adapting user interfaces for AI
AI
adapting AI for interaction
full automation – best/safe
human in the loop – suggest and inform
In Concert
collating notices
several newspaper notices for each concert
semi-automated grouping:
– liberal suggestions
– conservative warnings
adapting interaction for AI
‘best’ UI – short term gain
epistemic interaction – long term gains
epistemic action
wondering
what’s inside?
just
peek
document results – option 1 – scroll
scroll down
to see
more results
document results – option 2 – accordion
press ‘+’
to expand
interesting
items
which option? – epistemic interaction …
scroll accordion
A-B user testing
scroll a little better
accordion gives more data
for AI adaptation
design for interacting with AI
deterministic ground
– helping users know what may or may not adapt
appropriate intelligence
– tuning AI to offer human alternatives and fail well
epistemic interaction
– choosing user interaction that is informative for ML
Designing User Interactions with AI
servant, master or symbiosis
Alan Dix
https://alandix.com/aibook/

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