An introduction to sensor technology and Web 4.0 for experience designers.

1. automagic
The Connected System of Things Primer
Presented by: Aynne Valencia

2. A website or mobile site is just a step to ecosystems of
meaningful, data-driven, experiences we can create
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3. Web 4.0 and pervasive computing have been talked
about for years. But now we are starting to experience it.
And clients and people are asking for these experiences
even if it is not explicitly articulated as such.
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4. When we think of "products" the thought comes to mind
of physical objects that may or may not have service
layers behind them.
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5. Innovation comes from thinking about things we
are already doing and coming up with a new and
better way to do it.
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6. Innovation is less about the thing that powers the service
and instead the service and how you can enable it,
which sometimes, but not always means there is a new
thing required.
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7. Which does not necessarily mean a new product but
interacting in a new way with something you are already
interacting with or is already collecting data.
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8. And we are doing this already all the time..
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9. Pervasive or ubiquitous computing is possible
because of the high adoption of mobile devices,
availability of WiFi, smart phones, local and public
networks, ad-hoc networks and locative services
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10. Product Design
Internet is the enabler of:
Semantics
Analysis
Data Storage
User interface

11. Product Design
Sensors are the enablers of :
Ambient intelligence
Anticipatory systems

12. Product Design
Sensors + the web =
some of the more interesting and potentially helpful
services and products

13. Some of the Stuff you can measure with sensors
Acoustic, sound, vibration Direction
Chemical-level Position, angle, displacement, distance, speed,
acceleration
Electric current
Optical, light, imaging
Temperature, weather, humidity, wind velocity
Pressure
Flow, fluid velocity
Force, density, level
Radiation, subatomic particles
Proximity, presence
Weight
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14. Today our location based services work by triangulation.
Google maps

15. By taking data from electronic receivers and determining
your location by determining where your device is in
relation to the location of the transmitters.
You are
Here
Google maps

16. There are microsensors all around, right now very few are
enabled or are on private networks.
Google maps

17. Smartdust is a hypothetical wireless network of tiny
microelectromechanical sensors (MEMS), robots, or
devices, that can detect (for example) light, temperature,
or vibration.
wikipedia
Google maps

18. This collects sensor data and allows for easy upload of
this data to “the cloud”
The cloud refers to cloud computing where the internet is the enabler of storage for open data and
applications that devices can use on-demand.
Google maps

19. Through Mesh Networks or Mobile Ad-hoc Networks
Google maps

20. So we can gather many sources of data and associate
them with geo-data
Google maps

21. And layer that with social data or content around that as
well and there are some fascinating scenarios
Google maps

22. Product Design
What does a sensor-driven system look like?

23. Product Design
What does a sensor-driven system look like?
Person Using it
Measurement
Time
Context Location
Awareness & Proximity
Sensor-enabled Device Analysis Visualization

24. Product Design
What are some categories of pervasive computing?

25. Information & Analysis Automation & Control
01 02 03 01 03
02
Enhanced Sensor Driven Complex
Optimized Resource
Situational Design Autonomous
Consumption
Tracking Behavior Awareness Analytics Process Optimization Systems
Monitoring the behavior of Achieving real-time awareness Assisting human decision Monitoring the behavior of Control of consumption to Automated control in
persons, things or data of physical environment making through deep analysis persons, things, or data optimize resource use open environments with
through space and time & data visualization through space and time. across network great uncertainty
Examples:
Examples: Examples: Examples: Examples: Examples:
Presence-based advertising
& payments based on Sniper detection using direction of Old field site planning 3D Maximization of line kiln Smart meters and energy Collision avoidance
locations of consumers sound to locate shooters Visualization & simulation throughput via wireless grids that match loads & systems to sense objects
sensors generation capacity in order and automatically apply
Inventory & Supply Chain Continuous monitoring of to lower costs. brake
Management chronic diseases to help doctors Continuous, precise
determine the best treatments. adjustments in manufacturing Data center management to Clean up of hazardous
lines optimize energy, storage materials through the use
and process utilization. of swarms of robots
From: McKinsey Quarterly: http://www.mckinseyquarterly.com/The_Internet_of_Things_2538
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26. As people in the experience design business how
can we prepare ourselves and our clients for
utilizing connected systems?
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27. An easy way to do that is to work
backwards
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28. An easy way to do that is to work
sdrawkcab
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29. Product Design
What do people want to know?
Think about things that would be helpful for someone to know
Visualization

30. Product Design
What mix of data do you want to collect and how do you want to
apply context to it?
Person Using it
Measurement
Are there services, apiʼs, open platforms
already that you can use?
Time
What would you need to build to do what you
want to do?
Context Location
Awareness & Proximity
Analysis

31. Product Design
Consider what kind of things you can collect data from
Things that already have sensors:
cars
heating units, air conditioning units
mechanized appliances
traffic corridors
robots
Things were sensors can easily be placed
wearable objects
people (yes, itʼs kinda creepy)
Sensor-enabled Device

32. As a experience design professional what does this mean to you?
How might this effect the way you work?
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33. Design & Technology are concerned with all the factors
represented in the bubbles but the emphasis will vary
depending on the output.
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34. 33

35. Branding opportunities
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36. Branding opportunities
Best + emerging practices of user interface
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37. Branding opportunities
Best + emerging practices of user interface
Experiential touch-points
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38. Branding opportunities
Best + emerging practices of user interface
Experiential touch-points
Needs of service + maintenance
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39. Branding opportunities
Best + emerging practices of user interface
Experiential touch-points
Awareness of the physicality of the experience
Needs of service + maintenance
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40. Branding opportunities
Best + emerging practices of user interface
Experiential touch-points
Awareness of the physicality of the experience
Needs of service + maintenance
Considerations unique to the hardware
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41. Branding opportunities
Best + emerging practices of user interface
Experiential touch-points
Awareness of the physicality of the experience
Needs of service + maintenance
Considerations unique to the hardware
Expectations of interface based on
products people are already using
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42. 34

43. Branding opportunities
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44. Branding opportunities
Best + emerging practices of user interface
34

45. Branding opportunities
Best + emerging practices of user interface
Experiential touch-points
34

46. Branding opportunities
Best + emerging practices of user interface
Experiential touch-points
Needs of service + maintenance
34

47. Branding opportunities
Best + emerging practices of user interface
Experiential touch-points
Awareness of the physicality of the experience
Needs of service + maintenance
34

48. Branding opportunities
Best + emerging practices of user interface
Experiential touch-points
Awareness of the physicality of the experience
Needs of service + maintenance
Considerations unique to the hardware
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49. Branding opportunities
Best + emerging practices of user interface
Experiential touch-points
Awareness of the physicality of the experience
Needs of service + maintenance
Considerations unique to the hardware
Expectations of interface based on
products people are already using
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50. Product Design
Human to Computer Interaction
Audioscape
Social
Factors
Front-End Visual
Industrial Language
Technology Design
Facility
System Use of
Integration Information
language Design Usability
Context

51. Product Design
Industrial Design
Human to Physical Creation Interaction
Audioscape
Social
Factors
Visual
Front-End Industrial Language
Technology Design
Facility
System Use of
Integration Information
language Design Usability
Context

52. Product Design
Design for Social
Human to Human Interaction
(computer mediated)
Audioscape
Social
Factors
Visual
Front-End Industrial Language
Technology Design
Facility
System Use of
Integration Information
language Design Usability
Context

53. Product Design
Design for Products
Human to Human Interaction
(computer mediated)
Machine to Machine Audioscape
Social
Factors
Visual
Front-End Industrial Language
Technology Design
Facility
System Use of
Integration Information
language Design Usability
Context

54. Product Design
Design for Pervasive Computing
(device mediated)
Audioscape
Social
Factors
Visual
Front-End Industrial Language
Technology Design
Facility
System Use of
Integration Information
language Design Usability
Context

55. Other things to watch out for:
Bio-sensing
awareness of the thing moving around us
Application and opportunity:
Airport security
Environmental Protection
Food integrity
Semantic Measurement of location-based data plus bio
sensing can make for some helpful scenarios for virus
detection and infectious disease control, crisis management
and response.
Anticipatory Systems
Systems that collect data from machines or social systems
and create an automated response mechanism to respond
before crisis or the need to replenish occur.
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56. resources
Sensor Enabled Applications and Materials
Advanced Driver Assistance Systems, NAVTEQ. http://www.ustream.tv/recorded/2632918
Nano-Textiles http://nanotextiles.human.cornell.edu/
Smart Dust http://robotics.eecs.berkeley.edu/~pister/SmartDust
Internet of Things
McKinsey Quarterly:
http://www.mckinseyquarterly.com/The_Internet_of_Things_2538
IBM, A Smarter Planet
http://asmarterplanet.com
Cloud Computing
http://www.infoworld.com/d/cloud-computing/what-cloud-computing-really-means-031
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57. thank you
aynne valencia
www.avalen.com
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