Cognitive IoT technologies could have both benefits and risks for society. They may help reduce energy bills and support users through tasks like home automation. However, they also risk privacy issues if not designed carefully. Educating users will be important to help them understand technology advantages while assessing risks. Overall, cognitive IoT could bridge the gap between users and connected devices if issues like these are addressed.

1. Cognitive IoT: a friend or a foe?
Raffaele Giaffreda - CREATE-NET
RE.WORK/TECH 18 Sept 2014, London

2. Outline
1
2
3
4
what the web will
tell you about IoT
and cognitive
challenges society
$$$$$$$$ biz
challenges pitfalls
&

4. NO GAIN WITHOUT PAIN…

5. IoT + Cognitive Computing
=
TCheo$gCongitniiv*ev eI$oIoTT$
1

6. perceived pros and cons
The Dark Web
50bln by 2020
smart-*
$14tln next 10yrs
privacy Big Brother
automation
sustainability
robocalypse
efficiency
Io‘B’T
1

7. Friends or Foes for mankind?
Baxter
Eugene
MS Cortana
IBM Watson
iPhone Siri
http://www.eecs.mit.edu/news-events/media/self-assembling-robots-are-here
1

8. the example
basic need: reduce my energy bill without giving up
on comfort…WHILE I DO STG ELSE!
basic ingredients: motion sensors, temperature
sensors, learning algorithms
basic solution: learn user preferences as she sets
temp, ‘I AM AWAY’ mode, etc.
2

9. help & support with
“non value-add” activities
2

10. basic need: bridge the gap between users and surrounding
connected objects (sensors, actuators)
assumptions: NLP not a problem anymore (Siri, Cortana, IBM
Watson etc.); semantic annotation of objects, data models
components: (Composite) Virtual Objects + Real World Modelling
data models + semantic-based descriptions enable the automated
selection of objects, suitable to execute the task at hand
machine learning algorithms and RWK representation
3

11. DE'for'SK'
SK$Valida*on$ SK'Model'
CVO$
Data+Source/Sink+Virtualization
Observed
(and+Actuated)
RW+Entities
Adp.
Observed
(and+Impacted)
Actor
CVO$
observers$
CTRL$PLANE$
Real
World
Sensor+
Source
Sensor'
Source
Actuator+
Sink
Sensor'
Source
Virtual+
Sensor
Virtual+
Actuator
Service+Execution
Hut.
Domain
Expert+/
Developer
ServiceC
requesting
Actor
RWK+Model
Virtual+
Sensor
Cor.
Hypothesis
RWK$Valida*on$CVO$
$
ML$trained$
algorithm$
Service$Request$$
(maintain'room'comfort)'
Service$Execu*on$
Request$
Execu*on$CVO$
Actuate'
VOs$
DATA$
PLANE$
FB1$
FB2$
r$ q$
s$
p$
CVO$$
observers$
EXEC$PLANE$
RWK'Model'
RED:$associated$with$RWK$
modeling$$
CHANGING'THE'RWK'MODEL'
BLUE:$associated$with$
CVO$/$VO$$
CHANGING'THE'ROOM'
CONDITIONS'
DE'for'RWK'
3

12. Rseosmulet%sre (ssoemaerc) h%results%
+
Biz perspective
$$$$$biz
challenges $$$ &
4 pitfalls

13. iCore trials
the biz perspective
Thales + Alcatel Lucent Bell Labs safety
scenario + implications for network
asset management in a hospital track
medical devices + usage statistics
city traffic patterns characterisation
$$$$$$$$ biz
(Santander + Athens)
challenges pitfalls
&
4

14. Trento Hospital
“S.ta Chiara”
$$$$$biz
challenges $$$ &
4 pitfalls

15. behind the scenes
$$$$$$$$ 4 biz
challenges pitfalls
&
USAGE&
STATISTICS&
Validate
Train
Execute
RWO2parameter2reconfiguration2
recommendations2to2improve2energy2
In2the2demo2implementation,2 efficiency2of2location2sensors
location2data2of2objects2is2
simulated
Database2of2location2
information(spatial2&2
temporal)2of2objects
2
1
2a
3
4
4a
5
6
7
8

16. factor out ML
knowledge
DE'for'RWK' understand the request
select a suitable template
DE'for'SK'
deploy based on env knowledge
SK$Valida*on$ SK'Model'
CVO$
Data+Source/Sink+Virtualization
Observed
(and+Actuated)
RW+Entities
Adp.
Observed
(and+Impacted)
Actor
CVO$
observers$
CTRL$PLANE$
Real
World
Sensor+
Source
Sensor'
Source
Actuator+
Sink
Sensor'
Source
Virtual+
Sensor
Virtual+
Actuator
Service+Execution
Hut.
Domain
Expert+/
Developer
ServiceC
requesting
Actor
RWK+Model
Virtual+
Sensor
Cor.
Hypothesis
RWK$Valida*on$CVO$
$
ML$trained$
algorithm$
Service$Request$$
(maintain'room'comfort)'
Service$Execu*on$
Request$
Execu*on$CVO$
Actuate'
VOs$
DATA$
PLANE$
FB1$
FB2$
r$ q$
s$
p$
CVO$$
observers$
EXEC$PLANE$
RWK'Model'
RED:$associated$with$RWK$
modeling$$
CHANGING'THE'RWK'MODEL'
BLUE:$associated$with$
CVO$/$VO$$
CHANGING'THE'ROOM'
CONDITIONS'
gather feedback
3

17. Smart objects need “smart”
people!
shall we say “educated”?
PITFALLS
2 society
challenges
“WE are retired an not on a regular schedule. It puts itself into Away Mode all the
time just because we do not walk in front of it. Sat I had a party with 12 people
here. We were all in the great room and kitchen and dining room - not in the hall
leading to the Master bedroom. The nest went into AWAY mode and before I knew
it my house was at 75 -- everyone miserable. In the middle of the night it does the
same thing. I hate it. I have tried to turn the away feature off online and on the unit,
but it keeps coming back on. Also I tried setting the temo to 73 at every possible
time. It ignores what I set and still goes into away mode.”
Source: https://nest.com/blog/2011/11/08/teaching-nest-to-save-energy/

18. making IoT more accessible
educate = expose to risks and consequences
give end-users the ability to appreciate the advantages
of the technology and at the same time help them
assess if it is suitable to them beyond the selling points
only way to address reluctance (“fear” perceived
upfront rather than the advantages)
1

19. A glimpse into our future ;-)
spend our days using
apps to control various
robots to work for us
run away from them in
“apocalypse design”
motorbike

20. further info / links
P.
Vlacheas,
R.
Giaffreda
et
al.
"Enabling
Smart
Ci;es
Through
a
Cogni;ve
Management
Framework
for
the
Internet
of
Things“,
IEEE
Communica,ons
Magazine
-­‐
Special
Issue
on
Smart
Ci;es
(June
2013)
http://ow.ly/BxSz3
http://ow.ly/BxSrt

21. Thank you!
Raffaele&Giaffreda&
Smart&IoT&(RIoT)&Research&Area&Head&
(CREATE:NET)&
IEEE&IoT&Newsle=er&Editor&in&Chief&
EU&FP7&iCore&Project&Coordinator&
raffaele.giaffreda@create-net.org0
&
Websites:&&
www.create:net.org/research/research:areas/riot&&
www.iot:icore.eu&