Google Will Not Go Gentle into That Good Night: Project Glass

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My presentation slides from SMX East on future search interfaces on a conceptual level, and how spoken, visual, and even parameterless searches may impact seo and online marketing.

My presentation slides from SMX East on future search interfaces on a conceptual level, and how spoken, visual, and even parameterless searches may impact seo and online marketing.

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Google Will Not Go Gentle into That Good Night: Project Glass Google Will Not Go Gentle into That Good Night: Project Glass Presentation Transcript

  • Meet Siri: Apple’s Google Killer? (#smx #11C)Google Will not go Gentle into That Good Night: Project Glass Bill Slawski Webimax @bill_slawski
  • Siri is smarter than what we’ve seen on iPhones so far… It has a… •Short Term Memory •Long Term Memory And uses an •Active OntologyIntelligent Automated Assistant - http://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&u=%2Fnetahtml%2FPTO%2Fsearch-adv.html&r=1&p=1&f=G&l=50&d=PG01&S1=20120016678.PGNR.&OS=dn/20120016678&RS=DN/20120016678Intelligent Automated Assistant - http://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PG01&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.html&r=1&f=G&l=50&s1=%2220120245944%22.PGNR.&OS=DN/20120245944&RS=DN/20120245944
  • Siri – The Intelligent Automated Assistant Siri doesn’t just understand your voice commands, but it also can elicit conversation from you. Siri can do your online shopping for you, or book you a hotel room without your participation. Siri can turn on your home security or temperature control, or set your DVR while you’re at work. At its heart, Siri has a learning ontology that understands your intent
  • Siri’s Active OntologySiri uses statistical language models from:Domain Models (e.g., phrases relating to restaurant and meal events),Task Flow Models (e.g., phrases relating to planning an event),Dialog Flow Models (e.g., phrases related to constraints needed to gatherinputs for a restaurant reservation),Domain Entity Databases (e.g., names of restaurants),Vocabulary Databases (e.g., names of cuisines),Service Models (e.g., names of service providers such as OpenTable),and/or any words, names, or phrases associated with any node of activeontology.
  • Google Now Uses Predictive Models to Deliver Information before you know you want or need it based on: – User Behavior – Location Information – Contextual InformationGoogle Now - http://www.google.com/landing/now/
  • Google Field Trip• Referred to as “Google Here”• Knowledge Base Information• Provides Alerts based upon Location Google Field Trip - http://www.fieldtripper.com/
  • Siri vs. Google NowBoth Google Now and Siri will recognize that you like to go to Yankees games at the nearby stadium, and will start showing you scores.Siri will show you scores for Yankees gamesGoogle Now will notice that you only go to games when the Yankees play the Orioles, and show you Orioles scores.http://www.webimax.com/blog/mobile-applications/googles-predictive-personal-assistant-better-than-siriProviding digital content based on expected user behavior -http://patft1.uspto.gov/netacgi/nph-Parser?patentnumber=08271413
  • The Swimming Goggles Patent Sergey Likes Swimming?http://www.seobythesea.com/2011/04/google-acquires-swimming-goggle-patent/
  • Google Goggles Visual Queries • Facial recognition • OCR search for text in images • Product to recognition search (book covers. CDs, 3D objects • Bar codes recognition search • Named entity recognition • Landmark recognition • Place recognition (+GPS) • Color recognition • Similar image searchUser Interface for Presenting Search Results for Multiple Regions of a Visual Query -http://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&u=%2Fnetahtml%2FPTO%2Fsearch-adv.html&r=1&p=1&f=G&l=50&d=PG01&S1=20110035406.PGNR.&OS=dn/20110035406&RS=DN/20110035406
  • Terahop Indoor Mapping• Terahop Patents• Google Offering Free Wifi• Indoor Maps http://www.seobythesea.com/2012/04/google-acquires-indooroutdoor-wireless-location-patents/
  • Templated Maps PlaceBase vs. GoogleDynamic Exploration of Electronic Maps - http://appft1.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&u=%2Fnetahtml%2FPTO%2Fsearch-adv.html&r=1&p=1&f=G&l=50&d=PG01&S1=20080059205.PGNR.&OS=dn/20080059205&RS=DN/20080059205
  • Telcontar Location-Based Services• Method for providing matching and introduction services to proximate mobile users and service providers (US Patent 6,819,919)• Method and system for selectively connecting mobile users based on physical proximity (US Patent 6,542,750)• System and method for initiating responses to location-based events (US Patent 7,813,741)• Method and system for automatically initiating a telecommunications connection based on distance (US Patent 6,542,748)• Method and system for connecting mobile users based on degree of separation (US Patent 6,539,232)• Method and system for connecting proximately located mobile users based on compatible attributes (US Patent 6,542,749)• Method and system for analyzing advertisements delivered to a mobile unit (US Patent 6,647,269)
  • Project Glass Touch InterfaceUse of potential-touch detection to improve responsiveness of devices - http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-adv.htm&r=1&f=G&l=50&d=PALL&S1=08199126&OS=PN/08199126&RS=PN/08199126
  • Glass Adjustable User InterfaceMethod and system for selecting a user interface for a wearable computing device -http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-adv.htm&r=1&f=G&l=50&d=PALL&S1=08184070&OS=PN/08184070&RS=PN/08184070
  • Google Glass Wearable MarkersWearable marker for passive interaction - http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-adv.htm&r=1&f=G&l=50&d=PALL&S1=08179604&OS=PN/08179604&RS=PN/08179604
  • Glass Predictive Applications Launches For example, input 110 may be GPS data obtained from a sensor and relating to the location of the user when a folder is selected. In embodiments, input 115 may be biometric data such as, for example, an iris scan that may be used to identify the user selecting a folder. Input 120 may be, for example, data analytics such as the frequency in which a first application in the selected folder is selected over a second, third, or fourth application in the selected folder. Additional analytics may include, for example, what a user typically does when entering a given folder, what resources the applications in the folder use, etc.Responsiveness for application launch - http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-adv.htm&r=1&f=G&l=50&d=PALL&S1=08176437&OS=PN/08176437&RS=PN/08176437
  • Outland Research Patentshttp://www.seobythesea.com/2011/09/google-picks-up-hardware-and-media-patents-from-outland-research/
  • Ralph Osterhout Heads Up Displays
  • Thanks!Bill SlawskiSenior SEO ConsultantWebimaxbslawski@seobythesea.comhttps://twitter.com/bill_slawskihttp://www.linkedin.com/in/slawskihttps://plus.google.com/u/0/106515636986325493284/posts