research orientation towards do-it-yourself internet-of-things mass creativity concepts...

Orienting DiY IoT Mass Creativity

Pervasive 2010 “What can the IoT do for the citizen?”

Marc Roelands, Bell Labs

May 17, 2010

2 | DiY IoT Mass Creativity Concepts | May 2010 All Rights Reserved © Alcatel-Lucent 2010

Agenda

� The DiYSE Project

� Research orientation into a 3-concept landscape

� “The Phenomena IoT” — aspects & examples

� Recap/Conclusion (What can the IoT do for Citizens?)


Do-it-Yourself

Smart Experiences

ITEA2 DiYSE


DiYSE Facts at a Glance

� Theme:

Mass Creativity in the IoT

� Size:

40 partners / 7 countries

� Timing:

March 2009 – January 2012

� Lead by Bell Labs

10

Greece

Belgium

Spain

France

Turkey

Ireland

10

7

4

2

6

1

Finland

(+ 3 SME’s)10

GreeceGreece

BelgiumBelgium

SpainSpain

FranceFrance

TurkeyTurkey

IrelandIreland

10

7

4

2

6

1

Finland

(+ 3 SME’s)


DiYSE Mission, Approach and Target Outputs

� Mission

Enable the masses to participate in the creationof applications for the Internet-of-Things

� Approach

1. Understand/research DiY paradigm

2. Determine how to leverage DiY in IoT

3. Define technical enabling framework

� Target Outputs

� DiY practices in the tangible space

� Creation process & architecture

(IPv6 device “drivers” installation,

up to experience creation)

� Technical enabling building blocks

� Public on-line demonstrators


The Societal Phenomenon of DiY

Rise of the New Maker & Manufacturer Ecosystem (IFTF, 2008)


Vision: DiY for the proliferation of IoT (What can the IoT do for citizens?)

DiY as a critical need for IoT

� Mass adoption of IoT apps

� Long tail of IoT applications

may be needed to justify the deployment costs

DiY as a driver for IoT

� People value custom or self-made apps

DiY as a solution for IoT

� Beyond App Stores:

Maker Stores (and its enabling infrastructure)


3 Concepts

enabling Mass Creativity


Research Orientation

Exploring the wide (application domain agnostic) research space…

(IDEO Human-Centred Design Toolkit)

HEAR CREATE DELIVER

� orient on thematic concepts, as landmarks in the explored space� orient on thematic concepts, as landmarks in the explored space


What is DiY in the IoT ?

Wide typology of DiY creation in the IoT

� 3 architectural concepts, as orientation flags in the explored space

The Call-out IoT � The Smart Composables IoT � The Phenomena IoT

Sensor (actuator) data in

DiY web apps

Sensor (actuator) data in

DiY web apps

Use Thing DataUse Thing Data

DiY installation(wireless) sensors/actuators

DiY installation(wireless) sensors/actuators

Connect ThingConnect Thing

Smartening & composing

DiY tangible objects

Smartening & composing

DiY tangible objects

Build ThingBuild Thing

ScratchPicoBoardBugLabs

VoodooIO


The Call-out Internet-of-Things supporting DiY in the IoT

The network provides the capability for people

to expose and exchange “call-outs”

providing a locative, distributed community communication

though (objects & people in) the environment, bringing across

human interaction and stories.

ii

Image recognition(faces and objects as tags)

Augmented ID

Physical tagging(by people or manufacturers)

Location-based(virtual graffiti)

1 1 People augmenting the environmentPeople augmenting the environment


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If the Rabbit could update what the cookies say …

And what if these billboards twittered away whatever you wanted ?

Call-outs are a way for people to communicate and collaboratethrough objects and locations, and share locative history

2 2 Communication with objects through the Communication with objects through the IoTIoT


The Smart Composables Internet-of-Things supporting DiY in the IoT


to augment objects with instructions on

how they can be composed,

how they were produced or

how they can be repurposed.

ii

Instructablesfor physical objects

Physical/VirtualMashups Creationfor physical objects


The Phenomena Internet-of-Things supporting DiY in the IoT


to shape “phenomena” models & filters

acting upon collected personal, public or community data

by recursing on triggered behaviour user feedback

with reuse in other phenomena-aware applications

Capturing and Capturing and shapingshapingpatterns and flowspatterns and flows

ΣΣΣΣ

Public / personal INPUTPublic / personal INPUT Public / personal OUTPUTPublic / personal OUTPUT

explicit text, etc.

location City behaviour

Personal behaviourAware App

App CreationPhenomena


The Phenomena IoT

Aspects and Examples


“The future is data.” (T. O’Reilly) – and the IoT is providing it

‘People have predictable Eigenbehaviours’ (MIT)

Personal InformaticsVisualising your own logs Geo / Urban Sensing

Peopleproducesensor data… just measuring andvisualising

Data mining makes sense

People must stay in control oftheir data (Everyware, A. Greenfield)


How to identify and leverage ‘Phenomena’ ?

Naming / adding meaning toproposed patterns

Which patterns arerelevant Phenomena ?

From real-time brokers in the IoT (Patchube) to

Smart Brokers in the IoTproviding phenomena as mashable components

How peopleprefer to visualiseproposed patterns

Redundant crowd input & feedback, over time, people and apps

Patterns that arepopular triggersin (many) apps


Experimentation zone 1: Home Applications aware of Personal Context

Example: Music and light ambiance

according to ‘My atmospheres’

1. Activity monitoring provides data to mine, finding new patterns, correlating personal activitywith lighting and music selections

2. New patterns from data mining are proposedas relevant to ‘My atmospheres’

3. User becomes aware & names phenomena(but stays in control of predicted atmospheres)

Leverage ‘My atmospheres’ in other apps� Availability for communication� IM or Twitter status� Energy saving

(… and correlations and patterns will reiterate)

UbiComp in the Small(and the Large)

Learnt from feedback:

• which phenomena trigger (determine) ‘atmospheres’ ?• which are the inhabitant-identified ‘atmospheres’?

Hide

Configu

ration

Comple

xity


UbiComp in the Large(and the Small)

Experimentation zone 2: Massive city data for ‘optimal’ traffic behaviour

� Analyse crowd traffic patterns (across cars,

public transport, bicycles, pedestrians, …)

� Show people the phenomena in traffic

- routing advice based on that

� People pick one of the advises or not

& People validate determined route

Other applications leverage same phenomena

as smart context triggers

MIT

Learnt from feedback:

• how do people react on the traffic phenomena ? (peak hour traffic jams, road blocks, long term works, …)

Collective

Aware

ness


Recap: What can the Internet of Things do for the Citizen ?

Participation of people in the IoT is key ! DiY reputation and fun creating, and

“affection” for / trust of connected objects

“If you cannot open it, you do not own it”

3 App Architectural Concepts

� The Call-out IoT

� The Smart Composables IoT

� The Phenomena IoT

Work in progress!

� software and artifact design ongoing / user tests planned

� Are these good landmarks for DiY Experiences in the Pervasive IoT ?

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Q & A

Marc Roelands

Bell Labs Antwerp

marc.roelands@ alcatel-lucent.com

Marc Roelands

Bell Labs Antwerp

marc.roelands@ alcatel-lucent.com


www.alcatel-lucent.comwww.alcatel-lucent.com


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research orientation towards do-it-yourself internet-of-things mass creativity concepts...

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