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

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  • 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.

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

  • The Value of NowPervasive Context+Hybrid Awareness
    Clark Dodsworth
    Product strategy, innovation + development
  • Ambient Intelligence strategy Philips, ‘98
    all photos: Philips
    © 2002 Elmo Diederiks
  • 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.
  • 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
    Rear-view
    mirrors
    Sailboat
    tell-tales
    US DoD air-combat testing
    “Augmentedenvironments,” sensor nets
    Startups & Acquisitions
    Secretary invented
    Siri founded
    Now
    2013
    ~1900
    1970s
    1974-8
    1988
    1992+
    2003
    2007
    1994
    ?
    Prehistory, soon after invention of the sail.
    Horse
    carriages
    Schilit, Theimer, Want, & Adams
    Tom Caudell &David Mizell
    “UbiComp”:Mark Weiser
    Sutherland/Sproull, ‘68: 1st HMDs
    Hands-up displays
  • The Value of Now
    Contextual data
    Constantscenariosupport
    =
    +
    A.I.
  • 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.
  • 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
  • Good context-aware services require:
    1)High-speed, highly parallel hybrid inputs.2)Fast, highly adaptive hybrid analytics.3)Distributed, adaptive, hybrid display methods.
  • Fortunately, we have models.
    Ursi Spaltenstein
  • The most important rule we can import from biology:Nature is Always On.The 2nd most important rule:Hybrid sensing & hybrid response.
  • 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
    Ubicomp&sensornets
    Ambient Intelligence
    Things that Think
    Internet of Things
    & Hyper-personalized services…
    )
  • 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)
  • “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.
  • 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.
  • Context-Driven Use Case
    Entertainment
    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.
  • 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
    Senseofplace.com
    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
  • 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.
  • The Ad Hoc Value of Now
    Traffic info:
    Carrier-based + internet
    All images © Chimera Design 2007-2008
  • The Ad Hoc Value of Now
    Traffic info:
    P2P Ad Hoc realtime locational networks
    All images © Chimera Design 2007-2008
  • 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
    Qualcomm
    My6sense, Gist
    Aloqua, Xiam
    © Clark Dodsworth clark@dodsworth.com
  • ‘collaborative sensing’
  • Context Players
    Full package:
    Devices,
    Contextual info services,
    Retail,
    Contextbrokerage & monetization,
    Support,
    Billing…
    Context Awareness



    CALO
    A.I.



  • clark@dodsworth.com
    end OA logo
  • 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
  • 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
  • Dubailand AR project ’07-‘08
    • Storytelling
    • Extension of attractions
    • Personal guide/friend
    • Contextuallycustomizedexperiences
    • Interaction with park elements
    • Wayfinding
    • Drill-down for information
    • Social networking: local & global
    • Database: each user’s interests
    • Game play on device & with others
    • Marketing: retail opportunities
    • Long-Term Relationship: “follow the visitor home”
    All images © Chimera Design 2007-2008
  • 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
    • Schilit, Bill.; Adams, Norman; Want, Roy. Context-Aware Computing Applications. 1st International Workshop on Mobile Computing Systems and Applications. (1994) 85-90
    • 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
    • Photo of sail’s tell-tales courtesy Bill Gracey, cc
    • Modern helmet-mounted see-through display courtesy Rockwell-Collins: "SIM EYE SR100-A”
    • Theme park illustrations © Chimera Design, 2007-2009
    • Photo of Dubailand model © Lynne LaCascia, 2009
    • Photo of Alfred North Whitehead from Wikipedia.org
  • 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