1. User-driven living lab innovation
for mobile city applications
Studies on Media, Information and Telecommunication (SMIT - VUB)
Onderzoeksgroep Media & ICT (MICT - UG)
Centrum voor U bilit O d
C t Usability Onderzoek (CUO - KUL)
k
Wireless & Cable (WiCa - UG)
ROMAS closing event
Leuven, 3 December 2008
Users in driver’s seat of creative destruction and innovation
&
2005 2006
Disruptive technologies - Doom Users as innovators - Boom
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2. Conceptualising User Driven Innovation (UDI)
Terminology
Research
User-Centred Design (ISO, 1999); User-Oriented Design (Veryzer&Borja de Mozota, 2005);
Customer-Centric Design; People-Centred Design (Wakeford, 2005); User-Driven
Innovation (FORA, 2008)
Business
e-Bay - User-Driven Approach (Runcie, 2004); Philips - High Design (Marzano, 2007)
Interdisciplinary approach
Engineering and IT – Social sciences – Business management – Design
Definition
User-Driven Innovation is the process of tapping users’ knowledge in order to develop
new products, services and concepts. A user-driven innovation process is based on
an understanding of true user needs and a more systematic involvement of users
Components
WHAT
Understanding of users for finding new opportunities to create value
HOW
Innovation process undertaken with a systematic/planned involvement of users
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Living Lab Romas: The Quest for mobile city applications …
Idea 80 Archetypal user research & time
1 Generation 13 App expenditure based Focus Groups
& 6 User
Ideas
Clusters
2D About
2 Segmentation 15
Large-scaled interest survey
opportu
nities
Opportunity
3 Identification
Crossfunctional expert evaluation
panel
Archetypal
4 User Study Most likely scenario selection Archetype research
Design Etnographic socio-cultural analysis,
5 Ethnography & Usability
Adoption Potential Mobile News
40
Personas and Persona, Scenario-analysis
Persona Scenario analysis
6
35
30
Scenarios 25
20
15
10
5
Potential
0
innovators early adopters early majority late majority laggards
7
Paid 2,6 14,9 24,2 35,7 8,9
Free 10,8 37,5 15,2 18,6 4,5
PSAP Survey
Estimation
Experience
8 Optimisation
MultimethodQoE-QoSapproach
2

3. Living Lab Romas: The Quest for mobile city applications …
Idea 80
1 Generation 13 App
& 6 User
Ideas
Clusters
2D About
2 Segmentation 15
opportu
nities
Opportunity
3 Identification
Mobile city applications ??? ….
Archetypal
4 User Study
Design
5 Ethnography
Personas and
6 Scenarios
Potential
7 Estimation
Experience
8 Optimisation
Living Lab Romas: The Quest for mobile city applications …
Idea 80
1 Generation 13 App
& 6 User
Ideas
Clusters
2D About
2 Segmentation 15
opportu
nities
Opportunity
3 Identification 80
ideas
Archetypal 13 Application Clusters
4 User Study
3
Design
5 Ethnography
Personas and
6 Scenarios
1 4 5 2
Potential
7 Estimation 6 User Clusters
20.
Experience 7% 28% 1% 12% 32%
8 %
Optimisation
3

4. Living Lab Romas: The Quest for mobile city applications …
Idea 80
1 Generation 13 App
& 6 User
Ideas
Clusters
2D About
2 Segmentation 15
opportu
nities
Opportunity
3 Identification
Archetypal
4 User Study
Design
5 Ethnography
Personas and
6 Scenarios
Potential
7 Estimation
Experience
8 Optimisation
Living Lab Romas: Mobile news - Geonotes
Idea
1 Generation
2D
2 Segmentation
Intake
Profilingg
Observations
Opportunity
3 Identification Diaries
Photo
elicitations
Archetypal
4 User Study In-depth
interviews
Design
5 Ethnography
Personas and
6 Scenarios
Potential
7 Estimation
Experience
8 Optimisation
4

5. Living Lab Romas: Mobile news - Geonotes
Idea
1 Generation
2D
2 Segmentation
Logging
analysis
Focus group
Opportunity interviews
3 Identification
Diaries
Socio-techn.
Archetypal iteration
4 User Study
Design
5 Ethnography
Personas and
6 Scenarios
Potential
7 Estimation
Experience
8 Optimisation
Living Lab Romas: Mobile news - Geonotes
Idea
1 Generation
Usability Study
2D
2 Segmentation for people with PDA & without
PDA
Opportunity Questionnaire
3 Identification investigate the preferred
technologies, news channels of
Archetypal the participants
4 User Study Usability Test
text size sometimes too small
Design
5 Ethnography
unclear functionality of icons
took control out of the users
Personas and
hands
6 Scenarios no overview of the news items
Post-test questionnaire
7
Potential to evaluate perceived usability
Estimation
perceived best: Belang van
Limburg
Experience
8 Optimisation
pictures don’t have to be useful;
always attractive
5

6. Living Lab Romas: Mobile news - Geonotes
Idea
1 Generation
2D
2 Segmentation
Opportunity
3 Identification
Archetypal
4 User Study
Design
5 Ethnography
Personas and
6 Scenarios Internal
workshops
Potential Persona
7 Estimation development
Participatory
workshops
Experience
8 Optimisation
Living Lab Romas: Mobile news - Geonotes
Idea
1 Generation
2D
2 Segmentation
Opportunity
3 Identification
Archetypal
4 User Study
Design
5 Ethnography
Personas and
6 Scenarios
Potential
7 Estimation
Experience
8 Optimisation
6

7. Living Lab Romas: Experience Optimisation
Idea
1 Generation
2D
2 Segmentation
Opportunity
3 Identification
Archetypal
4 User Study
Design
5 Ethnography
Personas and
6 Scenarios
Potential
7 Estimation
Experience
8 Optimisation
Living Labs as EU Test and Experimentation Platforms
TEP = All facilities and environments for (joint) innovation including
testing, prototyping and confronting technology with usage situations
(Ballon, Pierson &Delaere, 2007)
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8. Living Labs in Flanders/Belgium
Information society stakeholders in Flanders involved in setting up
diverse test and experimentation facilities, supporting research as well
as innovation process on technological and socio-economical level
Tools for strengthening ICT research and development in each stage
(concept – experimentation – evaluation)
VIS programme ‘Proeftuinen’ (IWT): April 2008
‘Proeftuinen’
IBBT iLabinfrastructure open to scientific, public and private
stakeholders
Living labs in IBBT: iLab.o linkages
IBBT technical test centre (iLab.t)
Academic
usability lab (iLab.u)
Government ENoLL
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9. Q&A
Thank you!
prof. Jo Pierson
Vrije Universiteit Brussel (SMIT)
prof. Lieven De Marez
Universiteit Gent (MICT)
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