Hello.Conversational Architecture on the Internet

Who’s Loren?• Founder / CEO of Axilent

• Makes ACE - the Adaptive Context Engine

• User Profiling and Dynamic, Personalized Content Targeting

• Former Director of Technology at digital agencies HUGE and Alexander Interactive

• Python hacker

Who’s Loren?

• @LorenDavie on Twitter

• loren@axilent.com

Phase 1: Internet in a Box

www

Tipping Point: Introduction of the iPhone

2007

“Scrolls Like Butter”

Phase 2: Cloud + Devices

Another Tipping Point

???

Phase 3: Ubiquitous Internet

?♫

www

Adaptive, Personalized, Contextual

Here’s your coffee, just the way you like it.

www

Five Forces

• Mobile Devices

• Social Media

• Data

• Sensors

• Location

Problems

Problem 1: No Language

?

Problem 2: Privacy Issues

Solving Problem #1

Enter the

Metaphor

The Conversation

• Multi-directional

• Multi-modal

• Multi-channel

From Metaphor to Design Language

Conversational Architecture Visual Expression

Metaphor to Design Language

CAVE languagecavelanguage.org

CAVE Language

• Whiteboard / Napkin / Presentation -Friendly

• Methodology Neutral

• Scales Up, Scales Down

• Useful Across Disciplines

Structure of CAVE language

DataThe Foundation of Context

Data Origins: Devices and Sensors

Data Origins: External Data Sources

Data Processing

User Input

Data In a Contextual App

User ContextPAGES Analysis

Personas

Affinity

Goals

Environment

Sentiment

InferencesConverts Data to User Context

Inferences

An Inference is made from data

Inferences

Usually there is a condition that must be met

Inferences

If the condition is met, the user is associated with the context element.

Inferences in a Contextual App

Application ModesDynamic Response to User Context

Switch

Modal Switch for a Contextual App

Modal Switch for a Contextual App

cavelanguage.org

Solving Problem #2

• Contextual Apps require User Data

• User Data is sensitive, and can be abused

Privacy Debate: All or Nothing

Surrender all control of your personal data

Completely opt out of contextual

appsvs

Data StewardshipA Framework for Responsible Use of Personal Data

Most Problems Come From Third-Party Access to Data

Roles in the Data Ecosystem

Data Producer Data Consumer

Data Citizen

DataUses

is the subject of

Acquires or Creates

Data PolicyThe Citizen’s Rules for Their Data

Contents of Data Policies

• A Default Rule

• Rules Tied to Letter Grades

• Rules About Specific Data Categories

• Whitelists / Blacklists

How do you know data users will follow the rules?

telltrail.me

• A kind of “Better Business Bureau” for data users

• Holds repositories of citizen data policies

• Provides certification marks for compliant data users (letter grades) to let citizens know they are trustworthy

Letter Grades

• Like NYC Restaurant health letter grades

• Indicates the level of compliance of the data user organization

• Lets citizens know the data user organization is trustworthy

Letter Grades• A: Audited and Verified adherence to Data Polices

for both internally created and externally sourced data.

• B: Adherence to Data Policies for both internally created and externally sourced data.

• C: Adherence to Data Policies for just externally sourced data.

TellTrail: A Data Policy Repository

Thanks!@LorenDavie

loren@axilent.com

cavelanguage.org telltrail.me

www.axilent.com