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Wearable Sensors and UX 
Development 
Mark Melnykowycz 
Frontend Conference 2014 
August 29th 2014 
Zurich, Switzerland 
mark@idezo.ch / @idezo_ch / @americanpeyote
Idea Flow 
Trends 
Science to 
Society 
Evolution of 
Materials 
IC Design / Production 
Material Library 
Influence on wearables 
Evolution of 
Computing 
Sensor use 
Wearables landscape 
Sensors 
Flexible sensors 
Future applications 
Prototyping 
@idezo_ch #fec14
Products and Innovation Pipeline 
Characterize and communicate 
how the world/universe work 
Putting science into something 
we can build things with 
Translating technology into something 
which people interact with 
@idezo_ch #fec14
Ubiquitous Computer 
Internet of 
Things (IoT) 
Web of 
Things (WoT) 
Wearable 
Computing 
@idezo_ch #fec14
Connected Device Evolution 
50 Billion 
By 2020* 
Quantified User 
Quantified Self 
IoT 
@idezo_ch *http://share.cisco.com/internet-of-things.html 
#fec14
Computing Evolution Trends 
UX Patterns Increase with Devices 
Defined UX 
Space 
Distributed UX 
@idezo_ch #fec14
Separate Devices: Closed UX design spaces 
Devices Interactivity User patterns are learned and establish “easy to use” 
psychology 
@idezo_ch #fec14
Technology and User Experience 
“The reason OS X has a different interface than iOS isn’t because one came 
after the other or because this one’s old and this one’s new,” Federighi said. 
Instead, it’s because using a mouse and keyboard just isn’t the same as tapping 
with your finger. “This device,” Federighi said, pointing at a MacBook Air screen, 
“has been honed over 30 years to be optimal” for keyboards and mice.* 
-Apple senior vice president of software engineering Craig Federighi 
@idezo_ch *http://www.macworld.com/article/2090829/apple-executives-on-the-mac-at-30-the-mac-keeps-going-forever.html 
#fec14 
iOS OSX 
Windows 8.1
Device vs Ecosystem UX 
Designing for one 
device UX is easier 
Designing for an ecosystem 
offers more opportunity 
@idezo_ch #fec14
Wearables / IoT: Open UX Design Ecosystem 
Many 
Devices 
Some 
Devices Talk 
Multiple 
Interaction 
Patterns 
Openness of 
ecosystem 
defines UX 
design space 
@idezo_ch #fec14
Quantified 
User 
Quantified 
Self 
Device Tracking and Data 
Interpretation 
Self-Tracking and Data 
Analysis 
Data Trends 
Low/Medium Accuracy 
Data Ingestion 
Data Interpretation 
Continuous Tracking 
Sensor Fusion 
User Data Profile 
Low/Medium/High Accuracy 
Smart Apps 
User is the 
Data Scientist 
App is the 
Data Scientist 
@idezo_ch #fec14
Quantified 
User 
User Tracking and Data 
Interpretation 
Total Data Profile 
The user is a person and 
an ecosystem of data 
Design UX based on 
data context 
@idezo_ch #fec14
User State Determination / Context 
Location 
Time 
Heart Rate 
Position 
…? 
Sensor 
Inputs/Fusion 
User State 
Application 
User Experience 
Sensor Hub 
@idezo_ch #fec14
Product Development 
Does Wearable 
make the difference? 
Data 
Wearable Computing 
User 
Experience 
Sensors / 
Actuators 
Application 
Development 
@idezo_ch #fec14
Current Single Device UX Design Trends 
Personal 
Tracking 
2nd/3rd 
Screen 
Notifications 
Minimal Interactions 
Data Profile Creation 
@idezo_ch #fec14
Wrist-band Form Factor 
@idezo_ch #fec14
Wearable Sensors 
Wearable 
Activity Tracking 
Quantified Self 
http://amiigo.co/ 
ION Glasses 
Angel 
Acoustical 
Optical 
Acceleration 
Temperature 
Heart rate 
Skin temp. 
Blood oxygen 
Physical activity 
Fitbit 
@idezo_ch #fec14
Sensors Basics 
Time 
Acceleration 
GPS 
Compass 
… 
Direction/Amplitude 
Global Position 
Orientation 
Speed 
… 
Sensors 
Output 
Translates physical interaction into electrical signal 
@idezo_ch #fec14
Sensor Materials Evolution 
Integrated Circuits 
Layered designs 
Vapor deposition / etching 
Hard materials 
Silicon 
PVD / Metals 
Doped Oxides 
Ceramics PZT 
Quartz 
Surface 
micromachining 
Acceleration Sensor Pressure Sensor 
@idezo_ch #fec14
Smart Phone Sensor Anatomy 
Environment Sensing 
Connectivity Imaging 
Thermal Imaging 
Depth Sensing 
Motion 
GPS 
Acceleration Coprocessor 
Compass 
Motion 
Profile 
@idezo_ch #fec14
Near Future: Thermal Imaging Uses 
Metaio Thermal Touch Emotion Recognition? 
Nummenmaa L et al. PNAS 2014;111:646-651 
Separate UI from device Visualize emotions 
@idezo_ch #fec14
Focus on Solving One User Problem 
Value for the 
User? 
Often good UX means solving 
one (or a few) problems really, 
really well in one product 
Don’t get lost in 
the ecosystem 
@idezo_ch #fec14
@idezo_ch 11th Wearable Technologies Conference 2014 I Europe #fec14
Business Modeling for Wearable Tech / IoT 
User 
Experience 
Application / 
Experience 
Development 
Sensors / 
Actuators 
Data 
Who What How 
@idezo_ch #fec14
Moticon (moticon.com) 
User 
Data Profile 
Remote Research 
Separation of UX, data profile 
and user value 
The ideal wearables UX is 
invisible 
@idezo_ch #fec14
Samsung Gear S Smart Watch 
Accelerometer Gyroscope Heart Rate UV 
Compass Barometer Ambient Light 3G 
Wide range of sensors and connectivity 
@idezo_ch #fec14
User – Data Pipeline 
API 
Sensors / 
Actuators 
Data 
Data Digestion / 
Algorithms 
Interpretation 
@idezo_ch #fec14
Wearables and IoT Development 
IoT / Hardware 
Tools 
Trends: Society 
vs. Technology 
Solution 
Idea 
@idezo_ch #fec14
Wearables Development Example: eHealth 
Sensor 
Technology Use Cases 
Acceleration 
Patient 
Temperature 
Light / Radiation 
Orientation 
Electrical Impulse 
Empowerment 
Self-Diagnosis 
Remote 
Monitoring 
Rehabilitation 
… 
@idezo_ch #fec14
Patient Empowerment UX 
Learning about their medical situation and 
understanding which actions can influence it 
Learn / 
Understand 
Act 
Quantify 
Taking steps and enacting 
change in their lives to affect 
their medical situation 
Gathering specific information on their 
condition, which can be used to influence it 
Patient 
@idezo_ch #fec14
Data Types 
Quantify 
Gathering specific information on their 
condition, which can be used to influence it 
Quantified 
Based on asking questions 
Depends on observations of a 
patient on how they feel 
Effective in building historical 
profiles of user states, emotions, 
etc. 
Measured data from an 
instrument (reproducible) 
Passively with wearable sensors 
or IoT devices 
Actively with specific tools 
@idezo_ch #fec14
Hardware Prototyping for eHealth 
Easy testing of medical parameters with 
Arduino / Raspberry Pi 
Flexible toolkit of basic 
sensors 
Open hardware platform 
Convert physical 
elements into digital 
signals 
@idezo_ch #fec14
Multiple Sensor Connections 
@idezo_ch #fec14
Flexible Data Delivery iOS / Android App 
API 
@idezo_ch #fec14
Wearables and User Experience 
Value for the 
User? 
Solve a user problem 
Look at the device ecosystem 
Be aware of sensor function 
UI and device may be separate 
The best solution might be invisible 
@idezo_ch #fec14
Contact / Questions 
mark@idezo.ch 
@idezo_ch / @americanpeyote 
@idezo_ch #fec14

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Wearable Sensors and UX Development

  • 1. Wearable Sensors and UX Development Mark Melnykowycz Frontend Conference 2014 August 29th 2014 Zurich, Switzerland mark@idezo.ch / @idezo_ch / @americanpeyote
  • 2. Idea Flow Trends Science to Society Evolution of Materials IC Design / Production Material Library Influence on wearables Evolution of Computing Sensor use Wearables landscape Sensors Flexible sensors Future applications Prototyping @idezo_ch #fec14
  • 3. Products and Innovation Pipeline Characterize and communicate how the world/universe work Putting science into something we can build things with Translating technology into something which people interact with @idezo_ch #fec14
  • 4. Ubiquitous Computer Internet of Things (IoT) Web of Things (WoT) Wearable Computing @idezo_ch #fec14
  • 5. Connected Device Evolution 50 Billion By 2020* Quantified User Quantified Self IoT @idezo_ch *http://share.cisco.com/internet-of-things.html #fec14
  • 6. Computing Evolution Trends UX Patterns Increase with Devices Defined UX Space Distributed UX @idezo_ch #fec14
  • 7. Separate Devices: Closed UX design spaces Devices Interactivity User patterns are learned and establish “easy to use” psychology @idezo_ch #fec14
  • 8. Technology and User Experience “The reason OS X has a different interface than iOS isn’t because one came after the other or because this one’s old and this one’s new,” Federighi said. Instead, it’s because using a mouse and keyboard just isn’t the same as tapping with your finger. “This device,” Federighi said, pointing at a MacBook Air screen, “has been honed over 30 years to be optimal” for keyboards and mice.* -Apple senior vice president of software engineering Craig Federighi @idezo_ch *http://www.macworld.com/article/2090829/apple-executives-on-the-mac-at-30-the-mac-keeps-going-forever.html #fec14 iOS OSX Windows 8.1
  • 9. Device vs Ecosystem UX Designing for one device UX is easier Designing for an ecosystem offers more opportunity @idezo_ch #fec14
  • 10. Wearables / IoT: Open UX Design Ecosystem Many Devices Some Devices Talk Multiple Interaction Patterns Openness of ecosystem defines UX design space @idezo_ch #fec14
  • 11. Quantified User Quantified Self Device Tracking and Data Interpretation Self-Tracking and Data Analysis Data Trends Low/Medium Accuracy Data Ingestion Data Interpretation Continuous Tracking Sensor Fusion User Data Profile Low/Medium/High Accuracy Smart Apps User is the Data Scientist App is the Data Scientist @idezo_ch #fec14
  • 12. Quantified User User Tracking and Data Interpretation Total Data Profile The user is a person and an ecosystem of data Design UX based on data context @idezo_ch #fec14
  • 13. User State Determination / Context Location Time Heart Rate Position …? Sensor Inputs/Fusion User State Application User Experience Sensor Hub @idezo_ch #fec14
  • 14. Product Development Does Wearable make the difference? Data Wearable Computing User Experience Sensors / Actuators Application Development @idezo_ch #fec14
  • 15. Current Single Device UX Design Trends Personal Tracking 2nd/3rd Screen Notifications Minimal Interactions Data Profile Creation @idezo_ch #fec14
  • 16. Wrist-band Form Factor @idezo_ch #fec14
  • 17. Wearable Sensors Wearable Activity Tracking Quantified Self http://amiigo.co/ ION Glasses Angel Acoustical Optical Acceleration Temperature Heart rate Skin temp. Blood oxygen Physical activity Fitbit @idezo_ch #fec14
  • 18. Sensors Basics Time Acceleration GPS Compass … Direction/Amplitude Global Position Orientation Speed … Sensors Output Translates physical interaction into electrical signal @idezo_ch #fec14
  • 19. Sensor Materials Evolution Integrated Circuits Layered designs Vapor deposition / etching Hard materials Silicon PVD / Metals Doped Oxides Ceramics PZT Quartz Surface micromachining Acceleration Sensor Pressure Sensor @idezo_ch #fec14
  • 20. Smart Phone Sensor Anatomy Environment Sensing Connectivity Imaging Thermal Imaging Depth Sensing Motion GPS Acceleration Coprocessor Compass Motion Profile @idezo_ch #fec14
  • 21. Near Future: Thermal Imaging Uses Metaio Thermal Touch Emotion Recognition? Nummenmaa L et al. PNAS 2014;111:646-651 Separate UI from device Visualize emotions @idezo_ch #fec14
  • 22. Focus on Solving One User Problem Value for the User? Often good UX means solving one (or a few) problems really, really well in one product Don’t get lost in the ecosystem @idezo_ch #fec14
  • 23. @idezo_ch 11th Wearable Technologies Conference 2014 I Europe #fec14
  • 24. Business Modeling for Wearable Tech / IoT User Experience Application / Experience Development Sensors / Actuators Data Who What How @idezo_ch #fec14
  • 25. Moticon (moticon.com) User Data Profile Remote Research Separation of UX, data profile and user value The ideal wearables UX is invisible @idezo_ch #fec14
  • 26. Samsung Gear S Smart Watch Accelerometer Gyroscope Heart Rate UV Compass Barometer Ambient Light 3G Wide range of sensors and connectivity @idezo_ch #fec14
  • 27. User – Data Pipeline API Sensors / Actuators Data Data Digestion / Algorithms Interpretation @idezo_ch #fec14
  • 28. Wearables and IoT Development IoT / Hardware Tools Trends: Society vs. Technology Solution Idea @idezo_ch #fec14
  • 29. Wearables Development Example: eHealth Sensor Technology Use Cases Acceleration Patient Temperature Light / Radiation Orientation Electrical Impulse Empowerment Self-Diagnosis Remote Monitoring Rehabilitation … @idezo_ch #fec14
  • 30. Patient Empowerment UX Learning about their medical situation and understanding which actions can influence it Learn / Understand Act Quantify Taking steps and enacting change in their lives to affect their medical situation Gathering specific information on their condition, which can be used to influence it Patient @idezo_ch #fec14
  • 31. Data Types Quantify Gathering specific information on their condition, which can be used to influence it Quantified Based on asking questions Depends on observations of a patient on how they feel Effective in building historical profiles of user states, emotions, etc. Measured data from an instrument (reproducible) Passively with wearable sensors or IoT devices Actively with specific tools @idezo_ch #fec14
  • 32. Hardware Prototyping for eHealth Easy testing of medical parameters with Arduino / Raspberry Pi Flexible toolkit of basic sensors Open hardware platform Convert physical elements into digital signals @idezo_ch #fec14
  • 33. Multiple Sensor Connections @idezo_ch #fec14
  • 34. Flexible Data Delivery iOS / Android App API @idezo_ch #fec14
  • 35. Wearables and User Experience Value for the User? Solve a user problem Look at the device ecosystem Be aware of sensor function UI and device may be separate The best solution might be invisible @idezo_ch #fec14
  • 36. Contact / Questions mark@idezo.ch @idezo_ch / @americanpeyote @idezo_ch #fec14