INTELLIGENT GUIDES

ARCHITECTING SYSTEMS FOR CONTEXT-DRIVEN INTERACTIONS

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TO CREATE THE UNIVERSE WHERE THE ARRANGEMENT

OF THINGS AND THE RELATIONSHIPS BETWEEN

THEM CAN BE DETERMINED IN THE MOMENT

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CHAPTER 1: NATURAL WORLDS

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CHAPTER 2: CREATED WORLDS

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CHAPTER 3: CURATED WORLDS

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CHAPTER 4: INTELLIGENT

SYSTEMS

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where are cheese?where am cheese?CHEESE

vancouver in the rain

WALLPAPER HEAVEN WORLD IS A GREAT

WALLPAPER FOR YOUR COMPUTER DESKTOP

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CHAPTER 5: PRINCIPLES FOR

CONTEXT-DRIVEN INTERACTIONS

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AN ACTOR MAY DETERMINE AND

NAVIGATE THEIR OWN FLOW THROUGH A

SYSTEM

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THE SYSTEM SHOULD CREATE PATHWAYS TO SUPPORT FREE

WANDERING

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THE SYSTEM SHOULD CREATE THE MOST

DESIRED PATH OF ALL POSSIBLE PATHS

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THE FUNNEL EXISTS AND HAS AN INFINITE IN AND A TINY OUT

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INCREMENTALLY ADJUST THE ANGLE OF INTENT, THE VELOCITY OF FLOW, AND THE ACQUISITION

OF OBVIOUSLY

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OBJECTS ONLY BECOME MEANINGFUL WHEN THE RELATIONSHIPS BETWEEN THEMSELVES AND OTHER OBJECTS ARE DEFINED

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DATA ONLY BECOMES INFORMATION

WHEN YOU ASK IT TO ARRANGE ITSELF

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THE DEFINITION OF CONTEXT AND QUERY IS WHAT GIVES DATA

MEANING

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CHAPTER 6: ARCHITECTING SYSTEMS FOR

CONTEXT-DRIVEN INTERACTIONS

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‘THE WHOLE THING’ ARCHITECTURE

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‘THE WHOLE THING’ ARCHITECTURE

MANY ACTORS

MANY INTENTS

MANY PATHS

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STATIC PATHWAYS

DYNAMIC PATHWAYS

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BEHAVIOURAL PATHWAYS

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THE EXPERIENCE STACK

EXPERIENCE

PLATFORM

DATA

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SCENARIO MAPPING

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THE SCENARIEXPERIENCE STACK

QUERY

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QUERY

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QUERY

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LOCATION ACTION INTENT

DATA ATTRIBUTES METADATA

QUERY

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LOCATION ACTION INTENT

DATA ATTRIBUTES METADATA

CONTEXT

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LOCATION

ACTION

INTENT

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WHERE ARE THEY AND WHERE HAVE THEY BEEN?

WHAT DID THEY DO AND WHAT CAN THEY DO NEXT?

WHAT CAN WE INFER ABOUT THEIR BEHAVIOUR AND ASPIRATION?

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LOCATION ACTION INTENT

DATA ATTRIBUTES METADATA

CONTEXT

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METADATA

ATTRIBUTES

DATA

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WHAT IS OUR DATA AND HOW CAN WE GET IT?

WHAT ARE THE ATTRIBUTES THAT DESCRIBE ITS STRUCTURE?

WHAT IS THE DATA ABOUT OUR DATA THAT DESCRIBE ITS RELEVANCE?

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THE SCENARIEXPERIENCE STACK

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THE DIFFICULT QUESTIONFOR A GIVEN CONTEXT

CAN WE DESCRIBE AN OUTCOME

FOR WHICH WE CAN COMPILE

A RELEVANT OUTPUT

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IN OTHER WORDSRIGHT NOW

WHAT’S THE BEST THING

WE CAN MAKE FOR YOU

WITH WHAT WE’VE GOT

Insert slide about the data and why I’ve never got further than this

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ALL WE’RE DOING IS RECONSTRUCTING ALL THAT HAS BEEN DECONSTRUCTED

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ULTIMATELY, WE’RE DECIDING FOR

OTHERS HOW THE UNIVERSE IS ARRANGED

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WE WANT TO UNDERSTAND

THE STRUCTURE OF EVERYTHING

THANKS@TIMCAYNES

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IMAGE CREDITS

‣ http://webdesobjets.fr/les-objets-connectes-quantified-self-prospective/

‣ http://www.workzonesafety.org/files/documents/training/fhwa_wz_grant/images/atssa_pedestrian_work_zones/s25.jpg

‣ http://rootdatacenter.com/why-carrier-and-cloud-neutrality-are-data-center-must-haves/

‣ http://whyfiles.org/2011/trash-does-burning-beat-burying/

‣ http://thehumanfactor.biz/10-good-reasons-not-to-trust-your-brain/

‣ https://commons.wikimedia.org/wiki/File:God2-Sistine_Chapel.png

‣ http://wallpapersafari.com/heaven-background-wallpaper/