Research Orientation towards Do-it-Yourself Internet-of-Things Mass Creativity Concepts (Pervasive2010)

Orienting DiY IoT Mass Creativity
Pervasive 2010 “What can the IoT do for the citizen?”

Marc Roelands, Bell Labs

May 17, 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?)

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

Do-it-Yourself
Smart Experiences
ITEA2 DiYSE


DiYSE Facts at a Glance

Theme:
Belgium Finland
Mass Creativity in the IoT
10 10
(+ 3 SME’s)
Size:
40 partners / 7 countries
Timing:
March 2009 – January 2012
Lead by Bell Labs

Ireland
2 Spain
7

France
6
Turkey
4
1
Greece


DiYSE Mission, Approach and Target Outputs

Mission
Enable the masses to participate in the creation
of 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 driver for IoT

People value custom or self-made apps

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 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…

HEAR CREATE DELIVER

(IDEO Human-Centred Design Toolkit)

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
Sensor (actuator) data in
Sensor (actuator) data in DiY installation
DiY installation Smartening & composing
Smartening & composing
DiY web apps
DiY web apps (wireless) sensors/actuators
(wireless) sensors/actuators DiY tangible objects
DiY tangible objects

Use Thing Data Connect Thing Build Thing
VoodooIO

Scratch
BugLabs PicoBoard

3 architectural concepts, as orientation flags in the explored space
The Call-out IoT The Smart Composables IoT The Phenomena IoT


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

capability for people
The network provides the
to expose and exchange “call-outs” i
i
providing a locative, distributed community communication
though (objects & people in) the environment, bringing across
human interaction and stories.

1 People augmenting the environment
Physical tagging Location-based Image recognition
(by people or manufacturers) (virtual graffiti) (faces and objects as tags)
Augmented ID


2 Communication with objects through the IoT

If the Rabbit could update
what the cookies say … i
i

And what if these billboards twittered
away whatever you wanted ?

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


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

capability for people
The network provides the
to augment objects with instructions on i
how they can be composed,
how they were produced or
how they can be repurposed.

Instructables
for physical objects

Physical/Virtual
Mashups Creation
for physical objects


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

The network provides the capability for people
to shape “phenomena” models & filters
acting upon collected personal, public or community data
by recursing on triggered behaviour user feedback
Σ
with reuse in other phenomena-aware applications

Public / personal INPUT Capturing and shaping Public / personal OUTPUT
patterns and flows
explicit text, etc.
location City behaviour

Personal behaviour
Aware App
Phenomena App Creation


The Phenomena IoT
Aspects and Examples


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

People Personal Informatics
Geo / Urban Sensing Visualising your own logs
produce
sensor data
… just
measuring and
visualising

‘People have predictable
Eigenbehaviours’ (MIT)
Data mining makes sense

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


How to identify and leverage ‘Phenomena’ ?

Which patterns are
relevant Phenomena ?

How people Patterns that are
prefer to visualise popular triggers
proposed patterns Naming / in (many) apps
adding meaning to
proposed patterns

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

From real-time brokers in the IoT (Patchube) to
Smart Brokers in the IoT
providing phenomena as mashable components


Experimentation zone 1: Home Applications aware of Personal Context

UbiCom
Example: Music and light ambiance p in
(and th the Small
according to ‘My atmospheres’ e Large
)
1. Activity monitoring provides data to mine,
e finding new patterns, correlating personal activity
Hid ration
u y with lighting and music selections
o
C mnfig plexit
Co 2. New patterns from data mining are proposed
as relevant to ‘My atmospheres’
3. User becomes aware & names phenomena
(but stays in control of predicted atmospheres)

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

Leverage ‘My atmospheres’ in other apps
Availability for communication
IM or Twitter status
Energy saving
(… and correlations and patterns will reiterate)

Experimentation zone 2: Massive city data for ‘optimal’ traffic behaviour
UbiCom
Analyse crowd traffic patterns (across cars, p in th
(and th e La
public transport, bicycles, pedestrians, …) e Smal rge
e l)
le ctiv ss
Col rene Show people the phenomena in traffic MIT
a
Aw - routing advice based on that

People pick one of the advises or not
& People validate determined route

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

Other applications leverage same phenomena
as smart context triggers


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 i i
i
The Smart Composables IoT
Σ
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 ?


Q&A

Marc Roelands
Marc Roelands
Bell Labs Antwerp
Bell Labs Antwerp

marc.roelands @ alcatel-lucent.com
marc.roelands alcatel-lucent.com


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


Colors

Prime Colors
Use these colors as main fills and line colors
Either white or black text work well on these fill colors

Text Text Text Text Text Text
Text Text Text Text Text Text
R = 255 R = 240 R=0 R = 100 R = 150 R = 195
G = 200 G = 60 G = 185 G = 190 G = 150 G = 195
B = 40 B = 145 B = 225 B = 25 B = 150 B = 195
Gray 40% Gray 24%

Highlight Colors Red Color

Use these colors as secondary, accent or highlights colors Use this color as tritiary,
special or extra highlight
Use black text only on these fill colors
Use as fifth color
(yellow, pink, blue, Text
Text Text Text Text green then red) Text
R = 255 R = 250 R = 210 R = 230 R = 247
G = 240 G = 200 G = 250 G = 250 G=0
B = 190 B = 225 B = 255 B = 215 B = 24


i i
i
Σ


Research Orientation towards Do-it-Yourself Internet-of-Things Mass Creativity Concepts (Pervasive2010)

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