This document summarizes discussions from a workshop on reframing the Internet of Things. The workshop included discussions on adding value through design rather than just data collection, giving networked objects personality to help build human-object relationships, and using traces to help people understand how connected technologies work and how they collect user data. Various projects were presented that explored these ideas through tools like interactive objects, blockchain applications, and machine learning games for designers. Key insights emphasized designing for human attachment to things, using data to ask questions rather than collect extensively, and helping people understand data practices through object design.

3. §
DRIVE
Wed, Oct. 26
Funded by:
Connected Everyday Lab
Elisa Giaccardi
Coordinated by:
TOOLS &
EXPERIMENTS

4. » Adding a chip can
help us track and
monitor anything
» Optimize
distribution,
maintenance and
performance
» Make ‘things’ more
effective

5. REFRAMING IOT
» Where is the human in the loop?
» What sort of values do we want to design for?
» How do we shift the focus from collecting data to sustaining
value?

6. » This image
further
elaborates on
the previous
slide

7. » This image
further
elaborates on
the previous
slide

8. How can we reframe
the Internet of Things
as a platform for
‘doing design’
- not just a tool?

10. datapractices
embodiment intelligence

11. ORGANIZERS
Elisa Giaccardi
TU Delft
Chris Speed
Un. Edinburgh &
TU Delft
Marco Rozendaal
TU Delft
Geke Ludden
Univ. Twente
Jelle Stienstra
NEWCRAFT
Matthijs Netten
TU Delft
Holly Robbins
TU Delft
David Derksen
DD Studio
Ron Wakkary
SFU & TUe

12. PARTICIPANTS
and more

13. “For design to contribute
to world-wide challenges,
building communities of
ambitious and curious
people is of utmost
importance.”
- Dan van Eijk, Scientific
Director, Design United
- Bart Ahsmann, Managing
Director, Design United

14. T2T PROGRAM
13:30 – 14:30 Tools, Experiments & Insights
14:30 – 15:00 Break (with performance)
15:00 – 16:00 Next Steps? Innovate!
16:00 Drinks

15. §
DRIVE
Wed, Oct. 26
Organized by:
Funded by:
OBJECTS WITH INTENT
Connected Everyday Lab & DesignLab
Dr. Marco Rozendaal & Dr. Wouter Eggink

16. Breathing life into a
product or environment by
giving it a personality and
acting it out makes for a
quick but powerful way of
understanding the nuances
of good smart product
interaction.
- Pieter Diepenmaat

20. TOOLS
» Intentional stance towards smart networked products
» Embodiment as the nexus of interaction
» Behavior change within everyday practices
» ”We focused on how the expressed intent of objects
blended naturally in the everyday practise of coming
home” - Wouter Eggink

21. OUTCOMES
» The mood-changing kitchen

22. OUTCOMES
» The house as a servant

23. OUTCOMES
» The lamp that cares

24. REFLECTIONS
Power Play

25. REFLECTIONS
Give and Take

26. REFLECTIONS
Living Things

27. “Thank you, are there
any questions?”
- Rozendaal and Eggink

28. §
DRIVE
Wed, Oct. 26
Organized by:
Funded by:
MORSE THINGS
Everyday Design Studio
Prof. Dr. Ron Wakkary

29. An Internet of Things we can be proud of
Just Things Foundation

30. thing-centered
not
human-centered
Morse Things

35. TOOLS
» Six sets of Morse Things
» Six households of designers, researchers, artists
» Six weeks of living with the Morse Things
“Brilliant. Interesting. Strange.” – Travis Kirton

36. TOOLS
1.Describe what it is like to live with the Morse
Things from the perspective of the Morse
Things
2.Design an artifact, system, or service to co-
exist with the Morse Things

37. OUTCOMES

38. OUTCOMES

39. OUTCOMES

40. REFLECTIONS

41. REFLECTIONS
1.It is difficult to take on the
perspective of things – they
“withdraw” from us.

42. REFLECTIONS
2.The Morse Things form a
“quiet” attachment over
time.

43. REFLECTIONS
3.The Morse Things are a
“third” thing in the home.

44. “finally heard a bowl! It's been a
week. I didn't expect that I would be
as surprised or excited as I ended up
being. Had a pretty good rhythm to
it. Dah-do-dah-do-do-dah-dah-do-
dah-dah ... or something like that.”
- Ryan Betts

45. §
DRIVE
Wed, Oct. 26
Organized by:
Funded by:

46. §
DRIVE
Wed, Oct. 26
Organized by:
Funded by:
IM/MATERIALS
Connected Everyday Lab & David Derksen Design
Holly Robbins & David Derksen

47. » We are
surrounded by
black boxes
and blurry
people

49. TOOLS
» “Traces of use” is a design approach that can help uncover the
relationship we have with technology.
» This can shape a relationship with the object that’s based in
mutuality- it communicates how these technologies work and
how we work with them.
» This is even more critical as our technologies are becoming
more complex and are able to collect intimate data about us and
communicate it to others

50. OUTCOMES
Explored the expressive capabilities of traces to reveal how
data-intensive technologies work in 3 phases
» Phase 1. Material Exploration
» Phase 2. Speculative Design: Ideation of IoT Devices
» Phase 3. Design Phase: Exploring Traces as a Design Approach

51. » Phase 1. Material
Exploration

52. » Phase 2.
Speculative Design
of IoT Devices

53. » Phase 3. Design
Phas: Exploring
Traces as a Design
Approach

54. How to anticipate use time
while designing
» Designing with traces
» Designing for traces.
REFLECTION

55. How to trace our interaction
with algorithms?
» Tendency to design
techniques to notify of
automation.
» Traces became a means to
trace the invisible.
REFLECTION

56. Explored
» Material Exploration
» More about the ghost
» It has a wide smile
OUTCOMES

57. REFLECTIONS
Traces can be a means to
express how an object works,
which can lead to a greater
understanding of how we use
it, and in the case of connected
technologies, how it uses us.

58. §
DRIVE
Wed, Oct. 26
Organized by:
Funded by:
PREDICTIVE MATERIALITIES
Centre for Design Informatics & Connected Everyday Lab
Prof. Dr. Chris Speed & Prof. Dr. Elisa Giaccardi

59. INTRODUCTION
“By 2017, a significant disruptive digital business will be
launched that was conceived by a computer algorithm.”
Gartner Report 2014, www.networkedworld.com, October 2014

60. INTRODUCTION

61. INTRODUCTION

62. TOOLS
» Algorithmic Society
» Machine 2 Machine conversations

63. TOOLS
» Machine Learning
» Blockchain
» Algorithmic Society
» Machine 2 Machine conversations

64. TOOLS
» PredMat: Machine Learning for designers game
» Neil Rubens, Active Intelligence Group AI Lab,
» University of Electro-Communications Tokyo

65. TOOLS
» Block Exchange: Blockchain workshop for designers
» Richard Kohl, Bitcoin
Wednesday, Amsterdam

66. Designing with Data:
» Use the data shadow of a
participant to design them
a gift from the future.
OUTCOMES

67. Here we have two columns.
One column is for a ghost-like
monitoring device.
» Then, we go bulleted
» More about the ghost
» It has a wide smile
OUTCOMES“I have been following [him] online for quite a bit but I haven’t
met him until recently, so I have been following this constructing,
tech sort of person and I constructed this image of who he is…
On the Flicker, the photos they came in really handy. I tried to
look at text and didn't end up being inspiring. But when I went
back to Flickr pictures, specifically old pictures, I noticed some
kind of change in his stuff; he was kind of sharing more, was my
perception.
Then I devised this idea about whenever anything is shared it will
never be, like, too regular; there will always be some kind of
special experience involved in it, which was a challenge I gave
myself: to make something logical that can do that…so I came up
with this…”

68. Makers who want to leave Etsy and
adopt a ledger to record the expiry of
their design files.
Celebrities who want to track the use of
personal photographs.
Local governments wanting to
guarantee the safety of public voting.
A cryptocurrency exchanged through
the delivery, reception, and outcomes of
learning, with teachers becoming
shareholders in the success of their best
students.
LifeCoin offered a community service
that allows skills to be traded across
local residents in order to increase
social capital.
OUTCOMES

69. makers who want to leave Etsy and adopt a
ledger to record the expiry of their design files,
celebrities who want to track the use of
personal photographs, and local governments
wanting to guarantee the safety of public
voting. Team EduCoin presented a
cryptocurrency exchanged through the
delivery, reception, and outcomes of learning,
with teachers becoming shareholders in the
success of their best students. And team
LifeCoin offered a community service that
allows skills to be traded across local residents
in order to increase social capital. LifeCoin is
an assemblage of technologies proposing a
hammer that can trade its owner’s skills with
other tools or users via smart contracting.
» Then, we go bulleted
» More about the ghost
» It has a wide smile
OUTCOMES
» LifeCoin is an assemblage of
technologies proposing a hammer
that can trade its owner’s skills
with other tools or users via smart
contracting.

70. REFLECTIONS

71. REFLECTIONS
• Designers need to exercise and practice the principles of a
technology before they can actually design with it.
• Data is a design material that can anticipate, predict and push
in ways that require nuanced consideration of the contextual
significance and situated value of the data used.
• The key is not to collect lots of data but learn how to use it to
ask interesting questions.

72. ACTIONS
Practising new representations
of value.
The KASH cup turns the
opportunity to talk to strangers
into a currency, and the cups
become the record of these
transactions.

73. ACTIONS
1. Take a cup
2. Check the number
3. Check the balance
4. Put credit on it by talking
to someone
5. Get a coffee!

74. §
DRIVE
Wed, Oct. 26
Funded by:
Connected Everyday Lab
Elisa Giaccardi
Coordinated by:
KEY INSIGHTS

75. TAKE AWAY
As we bring consumers closer to
the creation and distribution of
products and services, industry
will require designers to develop
connections that are trustworthy,
ethical and in the interest of
people.

77. datapractices
embodiment intelligence

78. data
Openness is best served if the
designers design for attachment
between people and things rather
than prescriptive actions and
functionality.
embodiment intelligence

79. practices
embodiment intelligence
They key is not to collects
lots of data but learn how to
contextualize it and
use it to ask interesting questions.

80. datapractices
intelligence
Traces can be a means to express
to people how an object works,
and in the case of connected
technologies, how it uses us.

81. datapractices
embodiment
The personality and character of
objects could help people build
relationships with these objects in
ways that
are suitable and appropriate.

82. » We’ll make
your ideas fly,
literally!