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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
Filte
r
Filte
r
@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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Wearables Europe 2015 - Designing for Wearables

Editor's Notes

  1. DBL help startups with digital businesses not limited to UCL, but to the greater London community W3C Wearable Web Group
  2. Occasionally Connected / Disconnected High Latency & network congestion Low or varying Bandwidth Battery Issues Storage Restrictions Processing Restrictions
  3. last talk will covered UI in more detail Tizen and LG Web OS, browsers on wearables - browsers on phones was crazy too mindset of the designers but with the clients who did not understand the limitations of the platform and what you should use it for
  4. difference between 4.5 inch and 7 inch smartphone and tablet. Both are in reality fundamentally different devices not just in the physical screen size differences. understanding the user's context this is far more important on a wearable device than it ever was for a smart phone
  5. don’t delivery every single message, be selective
  6. Internal trigger (like an emotional need) wake up, going on lunch, leave work, finish a meeting (not just scheduled finish of meeting)
  7. deciding what and how to notify the user and when is hard, observing how and when the user accesses notifications is key time of delivery of message + time read + actions taken. Machine Learning can play a huge role here in addition to what the user prefers and does
  8. importance of trialling an building the right product harder to fix silicon than it is code Nir Eyal - The more closely a product can couple the external trigger (like a notification) with the internal trigger (like an emotional need), the more likely the user is to respond
  9. publishing guidelines in this area with CTIA based on workshops at MWC
  10. Collabouration why get involved build an ecosystem around device labs and collabourative and testing spaces and communities return on investment for dev kits and prototypes if you want other companies to play with it hosting events and meetups, Wearable Wednesday iBeacon Hackathon, bluetooth meetup groups host your hackathon Device Lab can manage your device loan programme for you in London and the UK. As our Device Lab is mobile so we can take the devices to those driving innovation get your kit into the lab, don’t be the missing device when startups look for kit to play have the devices and the test community playbrush and antix Snap Fashion future of retail at the dandy lab