Talk about the engagement of Users in IoT Systems, and the need to apply an Ambient Intelligence design methodology, given at the "Netcamp 2017" event, organized by Reply in Torino, November 9, 2017.

1. Human-in-the-loop
in IoT Systems
Fulvio Corno – Politecnico di Torino
https://elite.polito.it

2. Outline
Reply Netcamp 2017IoT and Humans2
 IoT and Humans
 Motivation
 Ambient Intelligence
 Architectural framework
 Looking forward
 Defining Missing Features

3. IoT and Humans
Human-in-the-loop in IoT Systems

4. Technologies, we have a lot of them
Reply Netcamp 2017IoT and Humans4

5. What kinds of applications?
Reply Netcamp 2017IoT and Humans5
Microsoft
Azure IoT
Oracle
Cloud Service
Bosch
IoT Suite
Google
Cloud IoT
Amazon
AWS IoT

6. Reply Netcamp 2017IoT and Humans6
Sensors Cloud Dashboards
Connectivity
magic
Analytics
magic
Currently…
IoT ≈ Sensor-To-Dashboard pipeline
Where are the users?
Where is interaction?
Where is intelligence?
Where are smart spaces?

7. What about users?
Reply Netcamp 2017IoT and Humans7
http://radar.oreilly.com/2014/05/most-of-what-we-
need-for-smart-cities-already-exists.html
http://radar.oreilly.com/2014/04/ioth-the-internet-of-
things-and-humans.html

8. Conquering the user
Smart
Home
Electrical
plants and
components
Consumer
electronics
Computers
Telecommun
ications
Industrial
automation
plants
Surveillance
systems
Smart
appliance
On-line
services
Reply Netcamp 2017IoT and Humans8
Controlling the
consumer IoT
market is appealing
to producers of…
May we
talk?

9. Ambient Intelligence
Human-in-the-loop in IoT Systems

10. why
what
AmI is
people-
oriented
Ambient Intelligence (AmI)
Reply Netcamp 2017IoT and Humans10

11. AmI Features
AmI
Sensitive
Responsive
Adaptive
Transparent
Ubiquitous
Intelligent
Reply Netcamp 2017IoT and Humans12

12. AmI Features
AmI
Sensitive
Responsive
Adaptive
Transparent
Ubiquitous
Intelligent
Able to sense the
environments and its
inhabitants.
Able to process sensor data.
Able to respond to user
needs.
Able to act on the
environment.
Able to infer a situational context:
- from environment data
- from user data (identity,
presence, actions, …)
- from statistics and preferences
- from external information
sources
Able to adapt to the context, by
means of the interpretation of
sensing and the generated
response
"The most profound technologies are
those that disappear. They weave
themselves
into the fabric of everyday life until
they are indistinguishable from it."
Mark Weiser
Present, appearing,
found everywhere.
Able to be distributed
over the ambient and
over
different people.
Incorporates Artificial Intelligence:
Machine learning, agent-based
software, robotics
Hearing, vision, language,
knowledge processing
Semantic web, reasoning
Reply Netcamp 2017IoT and Humans13

13. Sensing
Acting
ReasoningInteracting
Main Steps for an AmI System
Reply Netcamp 2017IoT and Humans14

14. Sensing
Acting
ReasoningInteracting
Main Steps for an AmI System
Reply Netcamp 2017IoT and Humans15

15. Sensing
Acting
ReasoningInteracting
Data.
Cloud.
Models.
Inference.
Protocols.
Databases.
Data Mining.
Personalization.
Machine Learning.
Context Awareness.
Artificial Intelligence.
Main Steps for an AmI System
Reply Netcamp 2017IoT and Humans16

16. Sensing
Acting
ReasoningInteracting
Main Steps for an AmI System
Reply Netcamp 2017IoT and Humans17

17. Sensing
Acting
ReasoningInteracting
Main Steps for an AmI System
Reply Netcamp 2017IoT and Humans18

18. Ambient Intelligence
• Politecnico di Torino
• Corsi di Laurea in Ingegneria – 1 °livello
• Elective course, 3° year
• 6 ECTS credits, 3 teachers, 60 hours
• Taught in English
• Full lecture video recordings
• +50% laboratory hours
• Exam = develop a project, in groups
• Follow work methodology
• Python
• Raspberry PI
• Arduino
• Z-Wave
• REST API
• Database
• Computer vision
Latest edition: 2017
• Project themes: Smart Campus (2015), Health and
Well-Being (2016), Sustainability (2017)
• 70 students, different background, 30% non-Italian
• 15 groups starting / 13 completed projects
• Student Showcase
• Web
• Beacon Bluetooth
• Smart Card
• Philips Hue
• Pebble smartwatch
• Android
• Sensori
YouTube
Facebook GitHubSito del corso Google Drive
Reply Netcamp 2017IoT and Humans19

19. Reply Netcamp 2017IoT and Humans20

20. Looking forward
Human-in-the-loop in IoT Systems

21. The IoT we all want…
Reply Netcamp 2017IoT and Humans22
I wish IoT were…

22. The IoT we all want…
Reply Netcamp 2017IoT and Humans23
I wish IoT were…
Useful Easy Safe Durable

23. Useful?
Reply Netcamp 2017IoT and Humans24

24. Easy?
Reply Netcamp 2017IoT and Humans25

25. Safe?
Reply Netcamp 2017IoT and Humans26

26. Durable?
Reply Netcamp 2017IoT and Humans27

27. Conclusion
Human-in-the-loop in IoT Systems

28. Internet of Things and Humans
Reply Netcamp 2017IoT and Humans29
 IoT systems should include acting on the user-perceivable
part of the environment
 Otherwise it’s not a «smart» home/building/car/city/…
 Users should close the loop of the intelligent algorithms
 They must feel connected and feel in control
 Consider user needs and requirements
 More technology is not always the answer

29. Contact information
Reply Netcamp 2017IoT and Humans30
 Fulvio Corno
Politecnico diTorino
fulvio.corno@polito.it
@fulcorno
 e-Lite Research Group
https://elite.polito.it/
 Ambient Intelligence course
https://bit.ly/polito.ami (course materials)
https://ami-2017.github.io (student projects )

30. Licenza d’uso
Reply Netcamp 2017IoT and Humans31
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