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@UCL_DBL
@UCL_DBL
Designing, Testing and
Collabourating with Wearable Apps
Niall Roche
@niallrocheGet in touch n.roche@ucl.ac.uk
@UCL_DBL
@UCL_DBL
@UCL_DBL
Mobile Developer - pretty much every platform!
Lecturer in Distributed and Mobile technologies
Tech Led at UCL Digital Business Labs
Tec Tech Trainer
Mentor at
@UCL_DBL
@UCL_DBL
@UCL_DBL
@UCL_DBL
@UCL_DBL
@UCL_DBL
@UCL_DBL
@UCL_DBL
Wearable Web
too much content output to a tiny screen
trying get too much input - keyboards don’t work
existing mental models applied to a new interaction type
take what we have now and make it smaller
while not reducing the set of features
mindset of the designers & clients who did not understand
the limitations of the platform and how it should be used
@UCL_DBL
@UCL_DBL
@UCL_DBL
distill the important nugget of information
simplify and packaging appropriately
design around short focused activities without
reliance on input & scrolling, using sensible defaults
figure out how to do more with less
glances to represent small units of relevant content
think of the entire journey - wearable to device
@UCL_DBL
@UCL_DBL
@UCL_DBL
consider battery - offload to devices or cloud
wearables are not smaller smart phones
Context is King
use information is already known about the user and what
can be gathered about location and agenda
inputs available, angle gesture pressure
@UCL_DBL
@UCL_DBL
• number of notifications and interruptions a Smart Phone
inform us about and how that has changed behaviours
• what important to that user at that moment, in that
location, in their social or work context
• otherwise it may be just a distraction
• filtering should extend beyond notifications and help to
reduce noise
@UCL_DBL
@UCL_DBL
@UCL_DBL
Server
App
Data
Notifications
Wearable
Mobile
App
Filter Filter
@UCL_DBL
@UCL_DBL
@UCL_DBL
Notifications
Presented
to User
Potential
Notifications
user in a
meeting
@UCL_DBL
@UCL_DBL
@UCL_DBL
capture
usage
information
infer
behaviour
apply
Machine
Learning
get user
preferences
adjust
notification
settings
Intelligent
Notifications
@UCL_DBL
@UCL_DBL
#NoUI
the best design is invisible
hardware is in general harder to tweak on
the fly that software
iterations are more costly
@UCL_DBL
@UCL_DBL
@UCL_DBL
testing this is hard, really hard,
research is so important
Validate assumptions
metrics and analyse
in the wild testing
@UCL_DBL
@UCL_DBL
@UCL_DBL
Phones - Tablets - Beacons - Wearables - Smart
Glasses - IoT
The largest open Device Lab in
London with 300+ devices.
@UCL_DBL
@UCL_DBL
@UCL_DBL
@UCL_DBL
@UCL_DBL
@UCL_DBL
why physical device labs?
remote testing can look but can't get feel remotely
mobile apps were standalone or connect to servers
increasingly they now connect to ‘things’
device compatibility, connectivity, reliability,security
network conditions, distances and interference
@UCL_DBL
@UCL_DBL
@UCL_DBL
dev kits and prototypes for other companies to play with it
hosting events and meetups, Wearable Wednesday
iBeacon Hackathon, bluetooth meetup groups
host your hackathon?
future of retail demonstrators and fashion
@UCL_DBL
@UCL_DBL
Designing, Testing and
Collabourating with Wearable Apps
Niall Roche
@niallrocheGet in touch n.roche@ucl.ac.uk
Thank You
@UCL_DBL
@UCL_DBL
@UCL_DBL
Gather detailed use analytics to learn and iterate with
the help of our UX Consultants and connect directly with
users hoping to become App Ambassadors.
App Lab
Push your app out UCL’s 45,000 staff and students.

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Niall roche #WearablesEurope