ContextualIntelligence Bo Begole, Ph.D.Samsung Research America, UX Centerbo@begole.netKorean HCI Society Conference31 Jan...
Businesses strategies for technologiesthat bridge physical and digital worlds•  Capabilities, Techniques,Limitations•  How...
20 Years ago, Ubiquitous Computingwas a dream …3Olivetti ActiveBadgePARC Tab PARC Pad PARC “Deathstar” IRNetwork Hub“The m...
Too Many Devices!Too Much Information!Too Many Friends!Too Many Networks!Too Much To Do!
Context-Aware services reducetechnology overloadSystems detec users’ locationsto help them–  Find colleagues–  Find resour...
71990 92 96 2000 02 200494 98Commercial penetrationof Ubiquitous Computingresearch isacceleratingContext-Awareresearch
PARCMagitti8Context-Awareresearch1990 1092 96 2000 02 04 06 0894 98GoogleNowMind-meldCommercial penetrationof Ubiquitous C...
Context-aware is now table-stakes. Newfrontier: Behavior, Activity and Goal-AwareContext-AwareSensor-triggered services wi...
Sternberg’s Tri-archic Theory ofIntelligence• Analytic Intelligence– Logic, sequences, calculations, …• Synthetic Intellig...
Contextually Intelligence Assistant:Pertinent and Actionable information11http://youtu.be/FPL7uaKYNiU
Nice vision, but it’s been 20 years…• Some classic problems are still unsolved…– Privacy– Missing information• … and bigge...
Privacy Concerns•  Security and access control isonly half the story•  Impression Management–  Confusing interfaces,contra...
Current digital assistants have to askfor every detail14“The address wasthere in my contactcard, but Siri kepttelling me, ...
Latencies• Pattern models take time to build–  Frequent patterns build quickly–  Weekly, monthly, annual patterns build sl...
Accuracy – best are wrong 15-20%16•  Fine for advertising or product recommendations•  What is good enough for content ret...
OptimalTimingActionContextReminders inactionablecontextPertinent Information& Actionable Contextn  Communication: tell me...
Technology alone cannot solve these•  Privacy – Requires understanding real user fears•  Missing information – Human conve...
20130128 contextual intelligence v5_5
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20130128 contextual intelligence v5_5

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20130128 contextual intelligence v5_5

  1. 1. ContextualIntelligence Bo Begole, Ph.D.Samsung Research America, UX Centerbo@begole.netKorean HCI Society Conference31 January 2013
  2. 2. Businesses strategies for technologiesthat bridge physical and digital worlds•  Capabilities, Techniques,Limitations•  How to exploit the trends•  Key value propositions•  Case Studies in•  Contextual Intelligence•  Hyper-Personal informationfiltering•  Predictive personal marketing•  Supply chain disruption•  Unanticipated deviceinteroperation•  Consumer decision supportFT Press, ISBN-13: 978-0-13-706443-4
  3. 3. 20 Years ago, Ubiquitous Computingwas a dream …3Olivetti ActiveBadgePARC Tab PARC Pad PARC “Deathstar” IRNetwork Hub“The most profound technologies arethose that disappear.They weave themselves into thefabric of everyday life until they areindistinguishable from it.”-Mark Weiser, Xerox PARChttp://www.youtube.com/watch?v=b1w9_cob_zw
  4. 4. Too Many Devices!Too Much Information!Too Many Friends!Too Many Networks!Too Much To Do!
  5. 5. Context-Aware services reducetechnology overloadSystems detec users’ locationsto help them–  Find colleagues–  Find resources–  Seamlessly connect tonearby devices/services–  Route phone calls–  Tag information creationby context for recall–  Diary of daily activities (1994) Bill Schillit, Norm Adams, Roy WantContext-Aware Computing ApplicationsWorkshop on Mobile Computing Systems and Applications,6
  6. 6. 71990 92 96 2000 02 200494 98Commercial penetrationof Ubiquitous Computingresearch isacceleratingContext-Awareresearch
  7. 7. PARCMagitti8Context-Awareresearch1990 1092 96 2000 02 04 06 0894 98GoogleNowMind-meldCommercial penetrationof Ubiquitous Computingresearch isaccelerating12CALOendsSirilaunches
  8. 8. Context-aware is now table-stakes. Newfrontier: Behavior, Activity and Goal-AwareContext-AwareSensor-triggered services withno intelligence:Current/future location; timeKey: distance in time/space9IncreasingIntelligence1990-2004Predictive analytics frombehavior traces:rank info by frequency/recency ofpeople, apps, docs, locations; …Key: distance from “normal”Behavior &Activity-Aware2005-2015Semantic understandingof workflows and objectives:writing a proposal; filling sales pipeline;shopping for gift; fostering relationships;…Key: distance from “objective”Goal-Aware2015+
  9. 9. Sternberg’s Tri-archic Theory ofIntelligence• Analytic Intelligence– Logic, sequences, calculations, …• Synthetic Intelligence– Creativity, intuition, …• Contextual Intelligence– Practical “street smarts”– Understanding relationships and utility– Achieve goals with available resources10
  10. 10. Contextually Intelligence Assistant:Pertinent and Actionable information11http://youtu.be/FPL7uaKYNiU
  11. 11. 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 know12
  12. 12. Privacy Concerns•  Security and access control isonly half the story•  Impression Management–  Confusing interfaces,contradicting policies–  What is this thing telling otherpeople about me?•  Economic Risk–  Unwanted sales pressure–  Higher insurance rates13
  13. 13. Current digital assistants have to askfor every detail14“The address wasthere in my contactcard, but Siri kepttelling me, ‘I don’tknow where yourhome is.’”Why do I have to tell it everything?Why can’t it figure things out and confirm?
  14. 14. 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 humanintelligence15GPSNFCEMAILCalendar
  15. 15. Accuracy – best are wrong 15-20%16•  Fine for advertising or product recommendations•  What is good enough for content retrieval?
  16. 16. OptimalTimingActionContextReminders inactionablecontextPertinent Information& Actionable Contextn  Communication: tell mebefore someone becomesunavailablen  Health & Fitness:suggestions of healthyoptions not already inpracticen  Technician: take preventiveparts before repair visitn  Advertisement: Deliver adswhen person is actually “inthe market”• Health plan• Task list• Reminders• Coupons
  17. 17. 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 knowledgeto emulate human contextual intelligence18

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