20130128 Sustainable Strategic Commissioning Procurement ...
20130128 contextual intelligence v5_5
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Transcript of 20130128 contextual intelligence v5_5
Contextual Intelligence Bo Begole, Ph.D.
Samsung Research America, UX Center [email protected]
Korean HCI Society Conference 31 January 2013
Businesses strategies for technologies that bridge physical and digital worlds
• Capabilities, Techniques,
Limitations • How to exploit the trends • Key value propositions • Case Studies in
• Contextual Intelligence • Hyper-Personal information
filtering • Predictive personal marketing • Supply chain disruption • Unanticipated device
interoperation • Consumer decision support
FT Press, ISBN-13: 978-0-13-706443-4
20 Years ago, Ubiquitous Computing was a dream …
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Olivetti Active Badge
PARC Tab PARC Pad PARC “Deathstar” IR Network Hub
“The most profound technologies are those that disappear.
They weave themselves into the fabric of everyday life until they are
indistinguishable from it.” -Mark Weiser, Xerox PARC
http://www.youtube.com/watch?v=b1w9_cob_zw
Too Many Devices!
Too Much Information!
Too Many Friends!
Too Many Networks!
Too Much To Do!
Context-Aware services reduce technology overload
Systems detec users’ locations to help them
– Find colleagues – Find resources – Seamlessly connect to
nearby devices/services – Route phone calls – Tag information creation
by context for recall – Diary of daily activities (1994) Bill Schillit, Norm Adams, Roy Want
Context-Aware Computing Applications Workshop on Mobile Computing Systems and Applications,
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1990 92 96 2000 02 2004 94 98
Commercial penetration of Ubiquitous Computing research is accelerating
Context-Aware research
PARC Magitti
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Context-Aware research
1990 10 92 96 2000 02 04 06 08 94 98
Google Now
Mind- meld
Commercial penetration of Ubiquitous Computing research is accelerating
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CALO ends
Siri launches
Context-aware is now table-stakes. New frontier: Behavior, Activity and Goal-Aware
Context-Aware Sensor-triggered services with no intelligence: Current/future location; time
Key: distance in time/space 9
Incr
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1990-2004
Predictive analytics from behavior traces: rank info by frequency/recency of people, apps, docs, locations; …
Key: distance from “normal”
Behavior & Activity-Aware
2005-2015
Semantic understanding of workflows and objectives: writing a proposal; filling sales pipeline; shopping for gift; fostering relationships; …
Key: distance from “objective”
Goal-Aware
2015+
Sternberg’s Tri-archic Theory of Intelligence
• Analytic Intelligence – Logic, sequences, calculations, …
• Synthetic Intelligence – Creativity, intuition, …
• Contextual Intelligence – Practical “street smarts” – Understanding relationships and utility – Achieve goals with available resources
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Contextually Intelligence Assistant: Pertinent and Actionable information
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Nice vision, but it’s been 20 years…
• Some classic problems are still unsolved… – Privacy – Missing information
• … and bigger problems have arisen – Latencies
• Delays to build model • Delays in detecting pattern change • Delays to detect situation
– Accuracy: typically 85% at best – Actionable? Tell me something I don’t know
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Privacy Concerns
• Security and access control is only half the story
• Impression Management – Confusing interfaces,
contradicting policies – What is this thing telling other
people about me? • Economic Risk
– Unwanted sales pressure – Higher insurance rates
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Current digital assistants have to ask for every detail
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“The address was there in my contact card, but Siri kept telling me, ‘I don’t know where your
home is.’”
Why do I have to tell it everything? Why can’t it figure things out and confirm?
Latencies
• Pattern models take time to build – Frequent patterns build quickly – Weekly, monthly, annual patterns build slowly
• Changes take time to detect
• Recognition is often slower than human intelligence
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GPS
NFC
Calendar
Accuracy – best are wrong 15-20%
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• Fine for advertising or product recommendations • What is good enough for content retrieval?
Optimal Timing
Action Context
Reminders in actionable context
Pertinent Information & Actionable Context n Communication: tell me
before someone becomes unavailable
n Health & Fitness: suggestions of healthy options not already in practice
n Technician: take preventive parts before repair visit
n Advertisement: Deliver ads when person is actually “in the market”
• Health plan • Task list • Reminders • Coupons
Technology alone cannot solve these • Privacy – Requires understanding real user fears • Missing information – Human conversational repair • Latencies – Give users control of their pattern models • Accuracies – Adjust UX depending on application need • Actionability – Don’t be a nag. What do they already know?
What will achieve their goal? How is their goal defined?
HCI Grand Challenge:
HCI research methods can create the knowledge to emulate human contextual intelligence
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