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Fueled by technological advances and social factors, the quantified self movement has experienced rapid growth. Quantified self, also known as self-tracking, aims to improve lifestyle and achievements by measuring and analyzing key performance data across a range of activities.
Symantec has found security risks in a large number of self tracking devices and applications. One of the most significant findings was that all of the wearable activity-tracking devices examined, including those from leading brands, are vulnerable to location tracking.
Our researchers built a number of scanning devices using Raspberry Pi mini computers and, by taking them out to athletic events and busy public spaces, found that it was possible to track individuals.
Symantec also found vulnerabilities in how personal data is stored and managed, such as passwords being transmitted in clear text and poor session management. As we collect, store, and share more data about ourselves, do we ever pause to consider the risks and implications of sharing this additional data?
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Presentation on possibilities of leveraging biometric data on wearables, plus discussion of data on happiness from the Pebble Happiness App, a tracker for your moods and the drivers behind them.
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Website: https://www.fitbit.com/dk/app
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Onboarding and homepage - checkpoints related to first-time user experience (from sign up flow to reaching the home screen of the app)
Tracking - tracking of users' health data and/or symptoms
Data visualisation - how well the app uses data from tracking to display and visualise insights, progress and patterns
Content - findability and presentation of content
Support and education - how well the app uses both data and content to guide and educate users
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Learn about the 7 mistakes non-profit organisations make when building and marketing their mobile apps.
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You can listen to the webinar here: http://www.apps4change.org.au/LearningCentre/Webinars.aspx
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Presentation for SMU UX certification class.
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Original Source: https://www.nevinainfotech.com/blog/how-to-build-the-best-user-friendly-fitness-or-workout-app/
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Methodologically, this research employs a comprehensive approach, combining qualitative and quantitative analyses. Real-world case studies illustrate the impact of branding, social media campaigns, and website redesigns on consumer perception, sales figures, and profitability. We assess the various metrics, including brand awareness, customer engagement, conversion rates, and revenue growth, to measure the effectiveness of these strategies.
The results underscore the pivotal role of cohesive branding, social media influence, and website usability in shaping positive brand perceptions, influencing consumer decisions, and ultimately bolstering sales and profitability. This paper provides actionable insights and strategic recommendations for businesses seeking to leverage branding, social media, and website design as potent tools to enhance their market position and financial success.
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PDF SubmissionDigital Marketing Institute in NoidaPoojaSaini954651
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[3:29 am, 30/05/2024] +91 83818 43552: Safalta Digital Marketing Institute in Noida also provides advanced classes for individuals seeking to develop their expertise and skills in this field. These classes, led by industry experts with vast experience, focus on specific aspects of digital marketing such as advanced SEO strategies, sophisticated content creation techniques, and data-driven analytics.
Can AI do good? at 'offtheCanvas' India HCI preludeAlan Dix
Invited talk at 'offtheCanvas' IndiaHCI prelude, 29th June 2024.
https://www.alandix.com/academic/talks/offtheCanvas-IndiaHCI2024/
The world is being changed fundamentally by AI and we are constantly faced with newspaper headlines about its harmful effects. However, there is also the potential to both ameliorate theses harms and use the new abilities of AI to transform society for the good. Can you make the difference?
Can AI do good? at 'offtheCanvas' India HCI prelude
Apple Health Design Challenge
1. Apple Health
An amazing app that visualizes health data in a useful
and informative way!**
By Nic Edwards
2. **Another one of those apps that just sits there, that I can’t delete
and doesn’t do anything for me.
An amazing app that visualizes health data in a useful
and informative way!**
Apple Health
3. The following phases were implemented
1. Audit
2. User Interviews
3. Sketches: Explorations/ Lo-fi Wireframes/Basic User Flows
4. Hi-Fi Visual Directions
5. Prototype
6. Next Steps/Keynote Wrap-up
Process
4. • The users have their GPS activated to allow movement tracking.
• The users are monitoring their heart rate with something such as an Apple Watch.
• The users have enabled the application to track their movements throughout the day.
Framing the Problem
Keeping the problem small, I’ll be operating under
these assumptions:
6. Initial impressions of Apple Health:
• Apple Health is essentially a repository for all of the possible health diagnostics that the
phone tracks passively, or that 3rd party apps are tracking for you.
• The iPhone doesn’t have the capabilities to track a lot of the categories that are available in
the app and many rely mainly on manual input.
• Some of these even rely specifically on the Apple Watch, which the majority of iPhone
owners do not own.
• There are devices that connect to the iPhone and record data that are a part of the
numerous different categories that are available to track on the dashboard. These are
diagnostics beyond the capability of the iPhone itself.
7. toggle lengths of time for metrics
daily distance
daily average (time period =?)
time period
dashboard view (current)
finds more trackable items
tells you where the data is coming from
gives medical information in case of
emergency
title of metric
What does this mean?
8. That’s over 70 categories…
and we can’t even accurately track
most of them; they’re just there.
From the “Dashboard” I had
to sift through this to find
“Walking+ Running Distance”
How do I track something?
7th page!
9. Adding Metrics: Usability Issues
• Not only were the categories confusing and hard to navigate, you couldn’t
even select multiple at the same time; it was necessary to navigate
through the list each time you wanted to add a metric to track.
• The app didn’t recommend tracking for data that it automatically collects
passively.
• While Apple Health does have some data visualization, it’s basic and
doesn’t try to aggregate anything in a meaningful easy to understand way.
• It doesn’t show things that might be useful except for the user to maybe
check in out of curiosity.
• The amount of data it has the potential to record is staggering. From what I
saw there were over 100 categories ranging from heart rate to fertility
cycles.
• It’s vague as to where the user is supposed to manually input data into
these categories. “Do I rely on the device or is it up to me?”
10. Lingering Questions:
• What categories are there for users? What defines these categories?
• As an app that tracks health related data, what are users actually interested in knowing
off-hand about their health?
• Is a user interested in an app that helps them keep active through proactive notifications?
Whether it be to stand up and take a lap around the office, or to go out and run a mile.
• What defines “activity”? Depending on a person’s physical activity level, walking a lap
around the track could be strenuous for some, but running 10 miles for someone else
might be necessary to yield benefits.
• Is this goal oriented? Weight? Speed? Heart rate? What would a user consider a possible
gain? Is this something that the user needs to decide?
• Is this time sensitive? Do users want the app to pressure them into doing exercise to meet
goals through deadlines?
12. Demographics:
• 7 total people participated in the interview
• 5 of 7 were in their late 20s while 1 was in his early 30s and 1 was
in his early 40s.
• 3 of 7 worked out between 4+ times per week. 3 men, no women.
• 2 of 7 worked out between 2-3 times per week. 1 man, 1 woman.
• 1 of 7 worked out between 0-1 time per week. 0 men,1 woman.
• All had advanced levels of familiarity with both fitness apps and
iOS devices. 3 of 7 had Apple Watches and actively tracked their
heart rates.
13. • Have you used the Apple Health app?
• What health apps have you used or are you currently using?
• What would an ideal health app do for you? (i.e. monitor your heart
rate, track your runs, monitor calorie intake etc.)
• If an app sent notifications telling you “it’s time to move around and
be active”, what would be your first reaction?
• Do you ever look at activity (distance traveled, steps, elevation
climbed or any other tracked activity) based metrics?
• Do you record your workouts manually in any way? Specifically
phone, computer or even pen and paper?
Questions asked:
14. • Of the seven people interviewed, no one actively used the health app.
• All were iPhone users and had access to it with the most up to date version of iOS.
• Since it was just an aggregate of passively recorded information that needed to be added to the
dashboard, it was hard to grasp exactly what was being tracked.
• 100% of the app users weren’t interested in inputting data manually beyond weight. Auto-magical
data appearing in the application was key to their continued use of any given app.
• Interest in the app to nudge general activity was pretty positive with only 2 users out of 7
expressing disinterest in the idea.
• The functionality to nudge the user to be more active exists in the Apple Watch, but not the iPhone.
• A general snapshot of activity throughout the day instead of workout gains or progress would be
better since the phone already records this data passively.
• The key to user adoption is passively gathered analytics. The user is “lazy” and doesn’t want to
spend unnecessary amounts of time inputting data.
Raw Data on G-Docs
Takeaways:
15. • Gathering data passively and presenting it simply is how we
create a hook for people to keep on using the application.
• General health diagnostics over workout gains and tracking is
something that the iPhone can handle on its own. We need to
build something that relies only on devices that are connected.
The phone recognizes these devices and tracks it auto-
magically.
• The app needs to decide for itself what it tracks. No hunting for
the info anymore, just asking the user if they accept the tracking
with a yes or no answer.
Where do we go from here?
30. Design Decisions:
• Based on user research, passive data gathering was needed for adoption.
• A simplification of the information architecture was needed, so I’m implementing only steps,
elevation change, distance and heart rate. The phone tracks these automatically and heart rate
can be tracked through the Apple Watch and other peripherals.
• Having at a glance numbers on a dashboard is more useful than multiple visualizations stacked
like in the old application. This reduces clutter.
• Removing the ability to actively add manually recorded data brings us back to a more
manageable product. There are less complications and we’re able to create an environment
that focuses on hard data rather than an array of guesses.
• Removing the list display to choose from, is then replaced by the app recognizing smart
devices connecting to the iPhone. The metric category would then be automatically added to
the tracking area. This could be a smart scale that tracks weight, body fat %, etc.
• Adding in the ability to nudge yourself lightly throughout the day to move around a little is where
I envision the progress bar being the most effective. It’s not meant to be an intense workout
driven metric, but it allows for a basic understanding of your physical state throughout the day.
34. Styles
Avenir Next • Avenir Next was chosen because
I wanted to go with something
clean and modern. It has a nice
feel and reads well for the health
application.
• I went with flat outlined rounded
icons with this visual direction
since it matched well with the
typography and the rounded
corners of my line breaks
• I kept the colors minimal and
allocated one for each category
that the redesigned health app is
tracking. Other than that, it’s
mainly greyscale.
I chose the light/airy version of the two potential visual directions because it
allowed for more open space and it didn’t confine the graphs as much. This
allowed for more connection with the overall tracking and again focused on
delivering the main information to the user from both the dashboard and the
detailed views of the metrics. The use of low contrast line breaks provided a nice
separation between the two, but didn’t create an imposing divide.
36. Next Steps:
• I’d like to take a look into what landscape view does for the graphs and what extra
functionality that should add to them.
• Add on boarding to walk the user through adding in other basic tracking, such as weight,
which would prompt the user to input it with a reminder, and an input for a general profile.
• Add the aforementioned “profile” system in order to make the tracking information more
accurate for the different activity levels. i.e. editing age, weight and desired activity level.
• Create a clearer way to add more metrics to the dashboard when smart devices that monitor
health related activities connect to the iPhone.
• Create a visualization for the overview of daily goals for “light, moderate and intense” activity
modes. Explain what this means in the context of walking, running, elevation and heart rate.
How much does each of these contribute to the activity progress bar?
• Add in a system for creating iOS notifications to prompt some movement throughout the day.
• Error states & zero states, what do those look like?
37. Wrap-up
Overall, this first iteration and prototype are true to what I set out to accomplish. I wanted to
focus on the passive monitoring aspect of the iPhone since there are already hundreds, if
not thousands, of health apps that do the same exact thing. Track goals, eating and all of
that. What they don’t have is the indestructibility of Apple Health; you can’t delete this thing!
So, it stands to reason that if people have the data there, and they can see it without
additional effort, they’ll gravitate towards using something they already have rather than
downloading a new 3rd party health monitoring app. After talking with some friends and
family of varying activity levels, it was clear that people were interested in their statistics,
but they didn’t want to put time into recording it manually since it was usually guesses
combined with tedious data entry. The data when relying on manual entry isn’t great either.
To refocus what Apple Health could be, you see the dashboard with four regularly
monitored diagnostics that happen passively through the iPhone in conjunction with the
Apple Watch for heart rate. You open the app, see the numbers, then go on with your
business. You’re not trying to look at a graph with a microscope. The focus was at a glance
diagnostics that were easy to read as well as digest and this UI accomplishes that.
38. Brought to you by Nic Edwards, a Product Designer
Thanks!