Your SlideShare is downloading. ×
Clark Dodsworth - Presentation at Emerging Communications Conference & Awards (eComm 2011)
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.

Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Clark Dodsworth - Presentation at Emerging Communications Conference & Awards (eComm 2011)


Published on

Please see blog

Please see blog

Published in: Technology, Business
1 Like
  • Be the first to comment

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

No notes for slide
  • For good context aware services, using our phone to both gather and deliver data, …We need to be sensing, sorting, and prioritizing many dimensions of personal context simultaneously -- physical proximities, time proximities, and all the daily priorities of your life. Then we need predictive ability to estimate what key elements of that data may be so important to you that you’ll want to know, NOW.Finally, we need the awareness of what you are doing, in what sort of physical environment and with whom, to be able to decide how best to deilver you the information. Could be audio, could be tactile, could be an alert followed by looking at a screen. But it’s VERY important that your device be able to deliver that data in the optimum medium at the right momemt to you, in a useful amount of detail, and NOT at the wrong time.To do this, it needs to learn you. A lot about your habits plans, and preferences, in a lot of layers. And it’s going to be another big, profitable facet of the disruptive impact of our mobile digital tools. Context aware tools need broadband highly parallel multimodal data sensing Fast powerful analyticsAnd hybrid means of delivering their conclusions to you, methods that constantly adapt to what’s best for you in the moment..
  • Fortunately we have models…for broadband data gathering, alertness, for anomaly identification and threat analysis, and for processing that information.Nature has been developing ways to simultaneously attend to many dimensions of one’s immediate environment, discard the irrelevant data, prioritize what’s left, and decide what to do NEXT, very quickly. We already do it ourselves. It’s called the Default Mode Network of the brain. Whenever we’re not on a task, it’s constantly evaluating our current situation, compariing it to all the history we’ve ever had, and deciding what possible things might be best to do next. We just need to find ways to do that with hardware. That’ll help a lot.
  • Many apps that haven’t even been developed yet will have to move into the OS, always functioning.Much more sensing must be going on, all the time. Your phone needs to know the shape of the room you’re in, how many light sources and people there are in it, who the people are, what trace elements are in the atmosphere, and how that changes over time, and Compared to the biological models, our tools are at a disadvantage; our emotions, for example, are adept at automatically finding important patterns based on our experience, and driving our reactions before we even know what’s happening, but tools need to calculate and approximate that --- very difficult. Then they need to be able to respond and notify us in ways that aren’t irritating, and that definition changes frequently every day. Big task, huge payoff.
  • Transcript

    • 1.
    • 2. The Value of NowPervasive Context+Hybrid Awareness
      Clark Dodsworth
      Product strategy, innovation + development
    • 3. Ambient Intelligence strategy Philips, ‘98
      all photos: Philips
      © 2002 Elmo Diederiks
    • 4. Alfred North Whitehead-(1861-1947)First context-aware tools theorist
      “Civilization advances by extending the number of important operations which we can perform without thinking of them.”
      ------ …Context-aware services shouldn’t spike cognitive load.
    • 5. Context Awareness Timeline
      Efficient power usage
      Context-aware tools begin todisappear.
      CALO project
      Commercial aviation HUD
      1st car HUD:Cutlass Supreme
      1st Context Awareness paper
      US DoD air-combat testing
      “Augmentedenvironments,” sensor nets
      Startups & Acquisitions
      Secretary invented
      Siri founded
      Prehistory, soon after invention of the sail.
      Schilit, Theimer, Want, & Adams
      Tom Caudell &David Mizell
      “UbiComp”:Mark Weiser
      Sutherland/Sproull, ‘68: 1st HMDs
      Hands-up displays
    • 6. The Value of Now
      Contextual data
    • 7. Reasons for Context Aware Mobile
      1. Diversity of use cases / user.
      2. User attention = scarce resource.
      Tool should learn the user.
      Context awareness manages datadelivery:What,when, how much,what modality, what priority.
      Especially when not-to.
    • 8. Goal of Context Aware Mobile
      Adaptively deliver info, hyper-personalized via n dimensions of user + environment states, with high space/time precision, without spiking your cognitive load.
      Context + Personal Salience = Value
    • 9. Good context-aware services require:
      1)High-speed, highly parallel hybrid inputs.2)Fast, highly adaptive hybrid analytics.3)Distributed, adaptive, hybrid display methods.
    • 10. Fortunately, we have models.
      Ursi Spaltenstein
    • 11. The most important rule we can import from biology:Nature is Always On.The 2nd most important rule:Hybrid sensing & hybrid response.
    • 12. The hardware emulation:
      Your phone is the hybrid Master Sensor for your life; everyone else’s phones help, all the time.
      Together, they’re the platform for:
      Augmented Reality
      Pervasive computing
      Context awareness
      Semantic Web
      Ambient Intelligence
      Things that Think
      Internet of Things
      & Hyper-personalized services…
    • 13. Human Context-Aware Model:
      The Brain’s Default Mode Network
      • Active only when the brain is notfocused on a particular task
      • 2 linked brain areas:
      Empathy re: intent of others,-+ your own state awareness
      Personal memories + visualization of future scenarios
      Scenario modeling
      State & intent awareness
      Brain photo: Omikron/photoresearchers Network overlay: Olaf Sporns/Indiana Univ. (modified by J. Korenblat)
    • 14. “It’s all about long-term, sustaining relationships.”
      -Alan Kay (2009), on the trend toward a service-based model.
      Context Aware Services: long-term, sustaining,contextuallydynamic, hyperpersonalized-relationships between users & info services.
    • 15. Context Gathering
      • Constant autodiscovery of data feeds & sensor feeds.
      • Constant 2D & 3D feature I.D. and object recognition.
      • Constant motion analysis + evaluation linked to object recognition.
      • Constant indoor mapping, 2D & 3D: Ultrasonic& IR-sensing for position, spatialanalysis & modeling.
      • Integrated gesture & speech recognition, plus voice ID.
      • Constant audio + visual logging with visual & semantic tags.
    • 16. Context-Driven Use Case
      Any licensed character: a useful buddy, a delivery method on top of context-aware, locational, hyper-personalized services. 
      The character behavior, persona, & animation: Character Skin.
    • 17. Diagram of SRI CALO- Siri- Apple- persona- whisper interface- your shell of protecting and selling your personal and behavioral context info, your relationships withcontext info brokers- your sensor inputs, - your sensor nets.
      Genius Loci:
      The whisper interface
      Genius Loci of all & every places is both yours and the cloud’s making
      SRI International’s
      CALO Project
      All images © Chimera Design 2007-2008
    • 18. The Ad Hoc Value of Now
      Ad hoc P2P mobile sensor networks, constantly re-forming and informing each other.
      In each locale:
      • Pooling realtime data
      • Stored only in the swarm
      • Hand-off & erase upon exiting
      • Short-distance wireless
      • No use of cloud or carriers
      • Data tied to location
      • Every phone
      • Every moment
      Duration of data retention on any device:
      A function of # of devices transiting the defined area.
    • 19. The Ad Hoc Value of Now
      Traffic info:
      Carrier-based + internet
      All images © Chimera Design 2007-2008
    • 20. The Ad Hoc Value of Now
      Traffic info:
      P2P Ad Hoc realtime locational networks
      All images © Chimera Design 2007-2008
    • 21. Context Awareness
      Efficiency & revenue from contextual salience
      Normal Everyday Life
      Data interchange standards.
      Activityawareness & modeling.
      Artificial intelligence permeates web svcs.
      User monetization of personal data.
      Constant personal scenario support
      Autodiscovery:net services &sensor data
      Integratedgesture & voice
      Hyper-personalization,relationship mgmt.
      Predictive analytics
      Probabilistic data delivery.
      Transparent Privacy protocols.
      Better Security, Better Anonymity.
      Devices & services improve with use.
      Adaptive filtering of realtime data.
      Scarce-resource mgmt..
      Data fusion.
      Sensor datastream analytics.
      Proximal Labs
      SemantiStar, HeyZap
      Your Name Here
      Canesta, Apple/Siri Softkinetic, Nuance
      Hunch, Gravity
      Sense Networks
      Corventis Pachube, Zebek
      My6sense, Gist
      Aloqua, Xiam
      © Clark Dodsworth
    • 22. ‘collaborative sensing’
    • 23. Context Players
      Full package:
      Contextual info services,
      Contextbrokerage & monetization,
      Context Awareness


    • 24.
      end OA logo
    • 25.
    • 26. Context-driven Use Case: Entertainment
      First rule of theme parks:
      You bring the fun in with you - your friends-& family.
      • The attractions you pay for aren’t the experience.
      • Now, a new type of friend.
      For as long as you want.
      A licensed character becomes a useful buddy, a delivery method for context-aware, locational, hyper-personalized services. 
      c. Lynne LaCascia, all rights reserved
    • 27. Context-Aware Biological Model:
      The Brain’s Default Mode Network
      Functions of consciousness:
      1) Constantly evaluate surroundings (physical + human)
      2) Constantly judge salience of each aspect of current situation in context of your needs
      3) Constantly construct scenarios for next step
      Parallel function of context-aware devices:
      Assess, select, shape, & deliver salient data (Device awareness augments user’s awareness)
      History+current state= basis of decision for next state
    • 28. Dubailand AR project ’07-‘08
      • Storytelling
      • 29. Extension of attractions
      • 30. Personal guide/friend
      • 31. Contextuallycustomizedexperiences
      • 32. Interaction with park elements
      • 33. Wayfinding
      • 34. Drill-down for information
      • 35. Social networking: local & global
      • 36. Database: each user’s interests
      • 37. Game play on device & with others
      • 38. Marketing: retail opportunities
      • 39. Long-Term Relationship: “follow the visitor home”
      All images © Chimera Design 2007-2008
    • 40. Credits
      • First use of term, “context awareness: Schilit, B., Theimer, M. Disseminating Active Map Information to Mobile Hosts. IEEE Network, 8(5) (1994) 22-32
      • 41. Schilit, Bill.; Adams, Norman; Want, Roy. Context-Aware Computing Applications. 1st International Workshop on Mobile Computing Systems and Applications. (1994) 85-90
      • 42. Default Mode Network paper: Gusnard, DA, Raichle, ME: “Searching for a baseline: the resting human brain from the perspective of functional imaging.” Nature Reviews Neuroscience, 2001
      • “iLamps: Geometrically Aware and Self-Configuring Projectors,” Rascar, et al. 2003
      • Commercial aviation HUD image courtesy Todd Lapin, cc
      • 43. Photo of sail’s tell-tales courtesy Bill Gracey, cc
      • 44. Modern helmet-mounted see-through display courtesy Rockwell-Collins: "SIM EYE SR100-A”
      • 45. Theme park illustrations © Chimera Design, 2007-2009
      • 46. Photo of Dubailand model © Lynne LaCascia, 2009
      • 47. Photo of Alfred North Whitehead from
    • Implementation
      Contextual mobile broadband services assess, prioritize, & select data to support decisions
      • Realtime data mgmt. preserves-focus
      • Inverse Content Management System (ICMS)
      • Adaptive B2B & B2C service optimization ...the revenue