Project Manager / Research Lead / Prototype (Apple Watch): Carolyn Jao Researcher / Prototype Lead (Moto 360): Samira Rahimi We developed a concept for an extension of the Oscar Health App to provide location based reminders as well as collision detection. We conducted in dept studies of the hardware capabilities and API, interviewed subjects with and without wearable experience, developed personas and created 2 prototypes.

1. Project 4: Wearable Presentation
Carolyn Jao
Samira Rahimi
UXDI
Jan 2015

2. Goal
Develop notifications and alerts for
the Moto 360 & Apple Watch for the
Oscar Health app to detect
- collisions
- pharmacies with unpicked up
prescriptions

3. Research
We defined our primary users using
User Surveys, User Interviews
& User Stories
We then Develop 3 Personas

4. Oscar Alert: Jean
JEAN
Female 27 Years Old
Freelance Copywriter
Lives in Astoria, NY
Oberlin College Grad
HTC One Android
Phone
Oscar Bronze
BEHAVIORS & HABITS
Likes to use Oscar to find pharmacies
Likes to use Oscar to check the last time she had a check-up
Likes that Oscar app has an ID card in the app
Likes that Oscar communicates clear copy
Chose Oscar from research because it is affordable
Avid app user, uses her phone to find directions
has friends and a boyfriend that she likes to hang out and
spend time with
Likes that Oscar app gives her suggestions
GOAL
Continue to rely on
Oscar app to deliver
her medical needs
Needs to be able to
find doctors and
pharmacies
quickly.
Save money
“In NYC there’s no strong concept of a primary care doctor, it feels really sketchy
to find good care… does it cover my insurance? Who is this doctor etc. Oscar
does a good job of clarifying and communicating.”
“I like how Oscar gives you suggestions on what you
might need, if you have a headache, stomach pain…
etc. It’s kind of like WebMD.”
Personas
Storyboards
User Flows

5. Oscar Alert: Sarah
SARAH
Female 37 Years Old
Single Mom
Blogger
Lives in Park Slope,
Brooklyn
Has a part-time
nanny
3 year old daughter
Iphone User
Oscar Gold Member
BEHAVIORS & HABITS
Uses hands-free devices to listen to books
Involved in her child’s life
Reads a lot of blogs for recommendations
Runs her own blog about being a mom
Uses google maps
Cares greatly about her health and the health of her
child
Uses Oscar because it has good out of network coverage
Also is cheaper and better for her as a freelancer
GOAL
Quick access to
information hands-
free Integrate with
her existing habits
Be able to multitask
and take care of
her young child.
“I don’t have a lot of time to myself so I use hands-free devices when I get
a little times for myself.”
“I will pay premium if I know it’s the best for my child”
Personas
Storyboards
User Flows

6. Oscar Alert: Tristan
TRISTAN
Male 29 Years Old
Computer engineer /
MBA Student
Lives in NYC, Lower
East Side
Has one younger
brother
Grew up in SF
UC Berkeley Grad
Oscar Bronze
BEHAVIORS & HABITS
Android fan, owns a android phone
Owns a Moto 360
Uses Moto 360 watch to order food, navigation, quick
notification, keep up with social media
Likes that he never misses a notification
Likes that the watch remembers his preferences
Watches trends in technology
Wants to work in the tech industry
Interested in building his own company in the future.
Rarely uses voice commands
GOAL
Never miss
notifications
Quickly find what he
needs with a glance.
“I never want to miss a notification from my network. It’s not as annoying
to others when I just check my Moto 360”
“I like to keep up with current technology
trends and news in tech.”
Personas
Storyboards
User Flows

7. Research
We researched the Moto 360 & Apple
Watch technical specifications, looked
at APIs and developed case studies

8. Case Studies
Collision Detection
OnStar / WreckWatch / Secura Patch Case Studies

9. Case Studies
(source: https://www.dre.vanderbilt.edu/~schmidt/PDF/wreckwatch.pdf)
In-vehicle Collision Detection // OnStar
Conventional in-vehicle accident detection systems (like
OnStar) rely on sensor networks throughout the car and
direct interaction with the vehicle’s electronic control
units (ECUs). These sensors detect
acceleration/deceleration, airbag deployment, and
vehicular rollover.
Metrics from these sensors aid in generating a detailed
accident profile, such as locating where the vehicle was
struck, number of times it was hit, severity of the collision,
and airbag deployment.

10. Case Studies
(source: https://www.dre.vanderbilt.edu/~schmidt/PDF/wreckwatch.pdf)
Wireless mobile sensor network can capture the
streams of data provided by their
accelerometers, compasses, and GPS sensors
Provide a portable “black box” that detects traffic
accidents and records data related to accident
events, such as the G-forces (accelerations)
experienced by the driver.
Cellphone Collision Detection // WreckWatch
Background services detect accidents by polling
smartphone system sensors, such as the GPS
receiver and accelerometers.

11. Cellphone Collision Detection // WreckWatch
(source: https://www.dre.vanderbilt.edu/~schmidt/PDF/wreckwatch.pdf)
Case Studies
WreckWatch provides functionality similar to an
accident/event data recorder by recording the
path, speed, and forces of acceleration on a
vehicle leading up to and during an accident.
WreckWatch is built using Google Android on the
client and Java/MySQL with Jetty and the Spring
Framework on the server.
The WreckWatch server utilizes custom XML and
JSON to communicate with the client

12. Case Studies
Heart Rate Detection
Secura Patch Case Study

13. Heart Rate Monitor // SecuraPatch
(Sources: http://www.securafone.com/subpages/health.php
http://www.eweek.com/mobile/securatrac-smartphone-app-connects-biosensor-patch-to-the-cloud)
Case Studies
SecuraPatch uses a small, wearable patch attached to a
person’s chest or back, using bluetooth (low energy)
technology to gathers and transmits data continuously to
the “relay” (the SecuraFone mobile app)
Uses MEMS accelerometers (Micro Electro
Mechanical Systems) & Cloud-based Computing
(ReliaTrac® platform from SecuraTrac®)
The SecuraPatch is able to detect heart rate,
respiration rate, falls, stress levels, skin temperature,
activity or number of steps, caloric burn, and body
posture

14. Challenges / Proposal
Collision / Heart Rate Detection
Extending to wearables: Apple Watch / Moto 360

15. Challenges / Proposal
(source: https://www.dre.vanderbilt.edu/~schmidt/PDF/wreckwatch.pdf)
Smart Watch for Emergency Response // Challenges
Smartphone application that required interaction with an
onboard computer would be useless in cars that lacked
one.
It is therefore necessary to collect the same or
similar information utilizing only the sensors
present on the smartwatch / smartphone
device.
Both do not have built in GPS, rely on smart phone for
GPS

16. Moto 360 // Heart Rate Monitor Specs / Challenges
Challenges / Proposal
(source: http://en.wikipedia.org/wiki/Moto_360#Hardware_and_design, http:
//www.amescon.com/products/modules/9-axis.aspx, http://www.
sensorplatforms.com/understanding-smart-phone-sensor-performance-
magnetometer-2/, https://news.ycombinator.com/item?id=8550459 )
Uses AFE4490 pulseOx AFE to measure heart rate.
Pedometer (9-axis sensor) includes 3-axis gyroscope
(orientation), 3-axis accelerometer (g-force), 3-axis
magnetometer (compass). Temperature sensor, and a light
sensor.
Trouble with consistent read - needs viewer to be still in
order to measure heart rate
While the watch does check heart rate in the background
continuously. An ECG (electrocardiogram) test (usually used
to detect heart abnormalities) usually requires much
more information and areas of contact on the skin.

17. Apple Watch // Heart Rate Monitor Specs / Challenges
Challenges / Proposal
(sourcehttp://spectrum.ieee.org/view-from-the-valley/consumer-
electronics/portable-devices/apple-watchs-wristful-of-sensors-and-mems, )
Uses pulse oximeters use visible red and infrared LEDs to detect how
much oxygen is being carried in the blood’s hemoglobin — a red protein
responsible for carrying oxygen from the lungs to all other tissues of the
body. In this process, the oxygenated hemoglobin absorbs more
infrared light
Apple chose the light-based technology over electrocardiography
because it is considered to be a more accurate method to measure
electrical impulses.
Most electrocardiogram (EKG or ECG) products require users to attach
several diodes to their body or to touch the product with both hands in
order to get a reading.
However, the light-based technology will monitor the user’s heart rate
with the user just simply wearing the wristwatch.

18. Challenges / Proposal
Smart Watch for Emergency Response // Proposal
(source: http://en.wikipedia.org/wiki/Moto_360#Hardware_and_design, http:
//www.amescon.com/products/modules/9-axis.aspx, http://www.
sensorplatforms.com/understanding-smart-phone-sensor-performance-
magnetometer-2/, https://news.ycombinator.com/item?id=8550459 )
The combination of Smart Watch & Smart phone sensors may measure
forces closer to those experienced by victims. In the event of an accident, the
SmartWatch will experience close to the same forces and accelerations, as
well as heart rate monitors experienced by the occupants of the vehicle.
If the smartphone remains stationary relative to the vehicle during the collision,
it is possible to use the data gathered from the smartphone to recreate and
model the forces it experienced. In this case, the combination of the two can
provide data much like that gathered by vehicular ECUs
We can use these sensors to trigger an emergency response on the smartwatch

19. Smart Watch for Emergency Response // Proposal
Challenges / Proposal
While we may not be able to predict a heart attack, we can use
the combination of the heart rate sensors and the other
sensors to detect abnormal movement and Heart rate, thus
triggering an emergency notification.

20. Challenges / Proposal
Smart Watch for Emergency Response
!
SOS
!
!
1) Impact detected with smart
watch/smart phone & GPS
2) GPS & Heart rate monitor
trigger emergency message on
smart watch.
3) Oscar on-call doctor is notified
through alert on smart watch
(and transmitter via smart
phone) as well as the closest
emergency responder (as
determined by GPS)
Communication is open between
the channels.
(source: https://www.dre.vanderbilt.edu/~schmidt/PDF/wreckwatch.pdf,
http://hioscar.com)

21. Challenges / Proposal
Apple Watch for Emergency Response // Interactive Prototype
https://dl.dropboxusercontent.com/spa/2kuxootalk0v4q2/Exports/Sarah_apple_watch_final/Sarah_apple_watch_final.html

22. Case Studies
Location based reminders
ToDoist

23. Case studies
(Sources: https://fr.todoist.com/Support/show/37936/, http://androidcommunity.com/todoist-
location-based-reminders-coming-to-android-this-week-20140703/)
Smart Watch // Location based reminders
Todoist is already integrated with Google Maps API, so
it will detect which places you frequent the most,
provided of course that you turn your location services
on.
Context aware system - Using GPS technology for
location-sensing, people could set reminders around
certain locations, with given time constraints

24. Challenges / Proposal
Moto 360 for Location-based reminders // Interactive prototype
https://dl.dropboxusercontent.com/spa/w8ous077o7yipsb/Exports/Jean%27s%20First%20Flow%20FInal/Jean%27s%20First%20Flow%20FInal.html

25. Design Process
Prototype
Design Process
Apple Watch / Moto 360

26. Prototypes
Oscar Health Alerts // Human Interface Guidelines

27. Design Process
Prototype
Oscar Health Alerts// Design Studio

28. Prototypes
Oscar Health Alerts // Design Studio

29. Prototypes
Is this a press &
hold? - Scott
Smart Watch for Location-based Reminder // Moto 360 1st Iteration
Deleted the first screen with the Moto 360
watchface in the background because it was an
unnecessary step and didn’t make sense
I don’t
understand why
the first screen
is there - Zohra
R.

30. Prototypes
Words are a little
hard to read -
Scott
Are there other
options? - Joe. P
Am I supposed to
swipe? - Joe. P
Smart Watch for Location-based Reminder // Moto 360 2nd Iteration
Deleted some unnecessary action screens
that the users didn’t understand and cause it
created more steps
Added more locations so users
can have more choices
Changed the copy to keep is shorter and
concise

31. Smart Watch Notifications// Moto 360 Annotations

32. Smart Watch Notifications// Moto 360 Annotations

33. Prototypes
Smart Watch for Emergency Response // Apple Watch 1st Iteration
Tested with minimal screens to start, with a simple call
to action
Changed the size of the tap to cancel to avoid
accidental cancellation of alerts.
Feedback revealed that the doctor on call wording is
confusing.
Feedback revealed that the copy needed to be more
concise.
Seems like it
would be easy to
accidently cancel
it - Alivia D.
Who is the
doctor?
Would I know
the status of the
responders?
Melanie. W

34. Prototypes
Wait but why am I
looking at the doctor I
just want emergency
services…
- Kim L.
Smart Watch for Emergency Response // Apple Watch 2nd Iteration
Added additional transitions / confirmation notices,
added model screen after messages are sent.
A/B test of having a doctor on call and just going to
emergency services.
Feedback revealed that emergency responder should
be the priority.
Feedback revealed that next steps could include ETA,
name of responders, ways to communicate.
Wait but it says
ETA and it says
call? - Kim L.
Seems like it
would be easy
to accidently
cancel it - Joe
P.

35. Prototypes
Smart Watch for Emergency Response // Apple Watch Annotations

36. Prototypes
Smart Watch for Emergency Response // Apple Watch Annotations

37. Prototypes
Smart Watch for Emergency Response // Oscar App Integration

38. Oscar Health Wearables // Next steps
● More user testing and iterations to test for interaction and flow
● Integrate Apple’s HealthKit and Google Fit with the wearable and
Oscar Health App so that there’s a more detailed and accurate
representation of a person’s health
● Maximize hardware capabilities with more APIs - what kind of
symptoms can we detect with the heart rate sensor?
● Maximize the information about the user for emergency responder -
pulling Oscar Health user past history, current medication, family
history etc.
● Make it more accessible for those who have disabilities (visual/blind)