1. Zenter 1
“CENTER YOUR WELLNESS TO FIND YOUR ZEN”
Zen Masters: Ariel Rios | Jina Suh | Janelle Lawless December 2014 | HCDE 518 B

2. Zenter 2
TABLE OF CONTENTS
I PROJECT OVERVIEW
Audience................ ................ ................ ................ ................ ...............3
Design Problem................ ................ ................ ................ ................ ....3
Target Users & Stakeholders................ ................ ................ ................ 3
Project Scope................ ................ ................ ................ ................. .......4
User Research................ ................ ................ ................ ................... ...5-6
II PROJECT DESIGN
Design Solution................ ................ ................ .............. ............ .......... 7
Design Requirements................ ................ ......................................... ....8
Design Decisions................ ................ ................ ................ ................ ..8-10
III DESIGN FLOW
Screen Flow - Set Up............... ................ ................ ................ ..............11
Navigation Hierarchy................ ................ ................ ................ .............12
IV INTERFACE
Annotated Visuals................ ................ ................ ................ ................. 13-18
V TECHNICAL DETAILS
Specifications............... ................ ................ ................ ................ ......... ..........19-20
VI LOOKING FORWARD .
Future Work............... ................ ................ ................ ................ ............21

3. Zenter 3
PROJECT OVERVIEW
AUDIENCE
This design specification is intended for potential investors
interested in the Zenter application. It focuses specifically
on the Android platform. Once refined all of the design
elements and interactions can easily be extended to iOS
and Windows Phone platforms.
DESIGN PROBLEM
Our project explores the connection between individuals,
their goals, their personal health, and their ability to
prioritize those areas.
Balancing physiological and psychological states is an
important component to improving quality of life.
As the World Health Organization wrote in their
constitution in 1967, “Health is a state of complete
physical, mental and social well-being and not merely
the absence of disease or infirmity.”
Today we are bombarded with a mass of fragmented
behavioral data from various wearables and digital
technologies. Currently, there is no single product which
offers a centralized and cohesive view of that data to help
us manage, prioritize, and balance our activities.
Our user research indicates that individuals are generally
concerned about multiple aspects of wellness. Currently
existing tools address only one wellness aspect at a
time (generally fitness) and provide siloed views of the
user’s current state instead of a holistic view of their well
being. Our users also reported that they have difficulties
in tracking their activity towards just one wellness aspect
because, in some cases, they have to resort to manual
logging of their progress which leads to losing interest in
tracking their progress all together. We identified these
issues in current technologies and aimed to help the users
balance different aspects of wellness in a user-friendly and
seamless way. This leads to our design question:
“How can we provide users with actionable insight for balancing
their health and wellness by integrating data from existing
technologies?”
TARGET USERS & STAKEHOLDERS
Our target users are busy and distracted working
professionals who are interested in monitoring their overall
wellness and are already using wearable sensors or
monitoring technologies such as Fitbit, Mint, or Todoist.

4. Zenter 4
PROJECT SCOPE
• General Profile Set-up and
Activity Notification Management
• Basic profile setup for selected wellness categories
(physical, financial, work-life balance)
• Visualize the user’s current wellness state
• Configure the user’s wellness goals and priorities
• Give notification for user’s activity that can be used
toward a wellness goal
• Editing or confirming user activity notification
OUT OF SCOPE
• Tutorial
• Detailed profile setup with survey to determine the user’s
baseline state of all wellness categories
• Detailed configuration of all possible wellness
categories and goals
• Privacy and policy issues regarding collection of user
data
• Machine learning algorithm that interprets data to give
notifications and recommendations
• List of supported services, wearables, and applications
• Avatar that represents your overall wellness
PROJECT SCOPE

5. Zenter 5
USER RESEARCH
USER RESEARCH
We conducted three different types of research to
understand our potential users and the problem space.
We conducted preliminary research in the form of
competitive analysis into existing wearable
technologies and mobile/web applications as well as
secondary research into previous research findings on
wellness and motivation. We then deployed an online
survey to understand how people define and maintain
wellness. Lastly, we performed semi-structured interviews
to gain more personal and detailed insight into what
methods or tools people use to manage the aspects of
wellness that are important to them, how they overcome
challenges of maintaining wellness, and why they fail in
some aspects.
Research 1: What existing technologies are available to
users for monitoring and manage their health
and wellness?
Wellness monitoring systems have existed for years,
ranging from traditional manual approaches (e.g. workout
logs, financial spreadsheets) to high-tech solutions (e.g.
pedometers, heart rate monitors, and more currently
wearable technology). Most of these solutions are
fragmented and concerned with only the wellness aspect
that they are designed for.
Currently, there are six well known fitness wearable devices
on the market from Jawbone, Fitbit, Nike, Garmin, Samsung,
and most current Android Wear. Most of these devices are
relatively new to the market and are only in their first or
second generation of production. All these devices come
with their own native smartphone applications as well as
web based interfaces. The financial category is dominated
by applications revolving around spreadsheets on
physical media (pen and paper), web and mobile banking
applications (e.g. Mint, Quicken). Work-life balance is
usually monitored manually but can be monitored through
web and mobile applications services deployed by the
workplace (e.g. Limeade).
These systems allow the users to monitor their data
and sometimes progress from a web based or mobile
application access point. The interaction (rather minimal)
between the user and the device is usually done through
these outlets and does vary from device models.
From this research, we have decided to scope our project
to a mobile application which would take advantage of
wearable technology that a user already possesses or our
proprietary devices.

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Research 2: What are the most important factors that
contribute to overall wellness?
We were able to gather 27 responses: 12 from an MTurk
group, 2 from an emotional support group, 7 from a
physical support group, and 6 from random technology
users. Overall, physical and financial wellness were the
top 2 factors that were consistent between agreement
scale questions and top 3 votes. Based on open-ended
responses, the participants started off defining wellness
as emotional, physical, and general happiness. The
participants voted strongly on financial wellness as it
plays a significant role in other wellness factors. As we
discovered from our secondary research, it is important to
recognize that these wellness factors are closely related to
each other and should not be observed as separate pillars,
and our survey results confirm this.
Research 3: Where does the current process/solution
begin to break? What prevents people from being well?
Our interview participants as well as usability participants
both commented that the current solutions, such as Lose
It!, require the users to input very detailed information to
be useful and, therefore, are very disruptive. Other existing
technologies, such as Fitbit, only display the factual data
(e.g. steps taken) without providing any useful information
to act upon.
Our interview participants were self-driven, working
professionals who are already accustomed to setting goals
and having organized plans to keep track of their lives. They
noted that they place higher priority on work which leads to
breaking the balance between family, work, [personal] life,
and physical wellness.
USER RESEARCH

7. Zenter 7
MOBILE APPLICATION
Zenter is a mobile application that collects and aggregates
data from various sources, visualizes the user’s current
wellness states, and provides actionable recommendations
to balance various aspects of wellness.
DESIGN SOLUTION

8. Zenter 8
DESIGN DECISIONS
Why physical, work-life, and financial?
Our user research and competitive analysis revealed that
maintaining physical health was a major trend among
our audience. While most people did not immediately
recognize the concern they had for items such as fitness,
further prodding concluded that how users feel about
and perceive themselves physically has a major impact
on their day-to-day morale or mood. We observed during
our interviews that people placed a higher priority on their
work which impacted other wellness aspects like social
or physical wellness, so it was important for us to include
work-life balance as its own category. Our survey result
showed that financial wellness is one of the top 3 wellness
categories, and this was another component that people
were concerned about which could potentially have a great
influence on other wellness aspects.
Why target working professionals?
Competitive research indicates that many organizations
are working to implement wellness programs internally as
a benefit to their employees, indicating that many working
professionals struggle with the balance between their
professional performance and personal health.
Our secondary research revealed health risks related to
prolonged periods of sitting that occur during the regular
DESIGN DECISIONS
DESIGN REQUIREMENTS
Visualizing the “big picture”
Data should be enhanced with contextual information to
show users the effects of their behavior on their long term
and short term wellness goals and overall health through
intuitive visualization.
Personalization of goals
Users need the ability to build goals that better match their
needs, interests and actual behaviors. Some users may
placed a higher priority on physical fitness and might be
more concerned with making time for themselves. Users
might also be interested in goals that are more related
to optimal emotional health; or they might want to gain a
better understanding of what a work-life balance looks like
for them.
Intuitive prompts
Less input, more choices; users need more options that
flow from their location, biometric data, and behavior
patterns and offer them exposure to personalized
intrinsic motivators. Users should not be required to log
their everyday, instead they should have the have the
convenience of choosing wether to accept or decline
activities which the sensors technology has recorded.

9. Zenter 9
work routine.
It became obvious to us that the need existed for such a
tool that enabled working professionals to have smaller
regimented goals that are easier to achieve on relaxed
rather than day-to-day basis.
Why a smartphone application?
Many companies offer smartphone compatible applications
so that employees can access work email accounts on their
smart devices. Beyond that, some larger companies provide
their employees with smartphone devices in order to enable
employees to access everything they need for their daily
job, regardless of their physical location. Furthermore,
many smart devices have some form of built-in sensors
which allows applications to capture and visualize behavior
data. A smartphone application would, therefore, be the
most mobile, relevant, and feasible option for Zenter.
Why proprietary wearable device?
Creating a proprietary wearable devices allows Zenter to
acquire extra data concerning user stress levels and mood
in conjunction with fitness data that existing wearables and
many models of smartphones already provide. Additionally,
any enthusiastic Zenter consumers would able to wear a
device that would also serve as a form of marketing our
product and serve as a means of creating interest in what
our product is. Finally, It’s another avenue for the program
to communicate with the user in order to inform them of
notifications that required some action on the user’s end,
creating another point of interaction between the program
and the user.
Why use sensors?
The sensors, whether proprietary or third party devices,
are part of the data gathering process which helps to
inform the application of user behaviors and status.
Additionally, the sensors offer a more “hands off”
approach to user data which is intended to offer a time
saving and intuitive component so that there is less
required of the user (i.e. find and specifying how
much time you spent walking, sitting, or in meetings
rather than requiring users to manually input each
activity and categorize it).
Why aggregate data?
The goal of Zenter is to give our users a better indication
of where they stand in a given facet of their holistic health
or wellness. Wellness is defined in the dictionary as the
quality or state of being healthy in body and mind. People’s
lives are multidimensional so allowing users a window into
only one facet does not offer enough information toward
a better state of wellness. We determined that users
need the ability to view the facets of wellness where
efforts were being made in contrast to facets which were
being neglected.
DESIGN DECISIONS

10. Zenter 10
Why edit notifications?
Through our usability testing, several of the users indicated
that it was odd to either confirm or decline a given recorded
activity without the option to alter and activities specifics.
Users stated the desire for an ability review and modify
notifications. Our next attempt was to offer them a quick
accept option and an option to edit in which the user could
modify or decline an activity.
DESIGN DECISIONS
Why use a doughnut chart?
We chose a common information visual (pie chart)
originally, but altered it to be more familiar to users by
making it visually similar to the modern charts and graphs
of competitors.. Pie charts and doughnut charts allow
information to be viewed in relation to a whole.
Why ask for home, work location and work hours?
We need the user’s most common location information to
inform the program when users are at work. The sensors
and software could calculate mood (stress levels) at work,
at different times of day, and at meetings in comparison
with mood at home. We also hoped to use this feature in
combination with built in GPS to inform the user when
they had exceeded their normal work hours and help them
maintain or manage work-life balance goals.
Why ask to confirm notifications?
The idea behind confirming activity notification is two-fold;
on one hand, we gather accurate data and behavior from
the users, where we allow the user more control over what
activities count toward their wellness goals, and on the
other hand, we remind users of their activity for the day.
With our one-click to “accept” or “edit” tasks, we try
to keep the users engaged and aware of their patterns
in a seamless and less-disruptive way.

11. Zenter 11
SCREEN NAVIGATION: FIGURE 1. SCREEN FLOW - SET UP
DESIGN FLOW

12. Zenter 12
SCREEN NAVIGATION: FIGURE 2. NAVIGATION HIERARCHY
DESIGN FLOW

13. Zenter 13
LABELA1
A1 MENU BUTTON
FINANCIAL
BUTTON
PHYSICAL
BUTTON
HOLISTIC WELL-
NESS GRAPH
WORK-LIFE
BUTTON
HEALTH AVATAR
NOTIFICATION
CENTER
INITIAL GOAL
SETUP BUTTON
INITIAL GOAL
SETUP BUTTON
INITIAL GOAL
SETUP BUTTON
ADD ACTIVITY
BUTTON
SETTINGS
Opens menu drawer to easily access
wellness categories & profile
Opens financial category for setup at initial
start, and overview after setup.
Opens physical category for setup at
initial start, and overview after setup.
Visualizes wellness category goal
balance progress in the wellness.
Opens Work-Life category for setup at
initial start, and overview after setup.
Houses urgent prompts and visualizes
your wellness state for emotional impact.
Communicates needed actions and
updates for user.
Visible only during initial set up, opens
Work-Life category for setup.
Visible only during initial set up, opens
Financial category for setup.
Visible only during initial set up opens
Physical category for setup.
Visible on every screen so users can
manually add an activity at any point.
Edit Settings from anywhere in the app.
Settings include: profile, App Notifications
A2
A2
A3
A3A4
A4
A5 A5
A6
A6
A7
A7
A8
A8
A9
A9
A11
A12
A10
A10
A11
A12
ELEMENT DESCRIPTION
ANNOTATED VISUALS
FIG. 3 - HOME: SET UP SCREEN

14. Zenter 14
ANNOTATED VISUALS
LABEL
B1
B1 HOME BUTTON
SPECIFIC
PHYSICAL GOAL
SETUP BUTTONS
PHYSICAL
BUTTON
SCROLL BAR
Opens menu drawer to easily access
wellness categories & profile
Tap to edit or set up physical wellness
Priorities within each subcategory.
Prioritize goal activity regimen.
Scrolling navigation through suggested
nutrition goals.
B2
B3
B4B2
B3
B4
ELEMENT DESCRIPTION
FIG. 4 - PHYSICAL GOALS: SET UP PHYSICAL GOALS

15. Zenter 15
LABEL
C1 EDIT GOALS
BUTTON
PHYSICAL
GOAL PROGRESS
VISUALIZATION
PHYSICAL
ACTIVITY
DETAIL
EDIT ACTIVITY
Opens goals to further specify what
areas of physical wellness you would like
to set goals for and monitor.
User can view progress of specific
physical wellness goals.
Describes activity detail and physical
category with date detail.
Allows users to modify the activity type,
amount, category, and accuracy.
C2
C3
C4
ELEMENT DESCRIPTION
C3
C2
C1
C4
ANNOTATED VISUALS
FIG. 5 - VIEW PHYSICAL WELLNESS PROGRESS

16. Zenter 16
LABEL
D1 MENU BUTTON
SPECIFIC
PHYSICAL GOAL
SETUP BUTTONS
ACTIVITY DETAIL
AND DATE
ACCEPT ACTIVITY
BUTTON
EDIT ACTIVITY
ACTIVITY
CATEGORY
Opens menu drawer to easily access
wellness categories & profile
Click to edit or set up physical wellness
Priorities within each subcategory.
User activity with time-stamp.
Allows user to quickly confirm
an activity.
Allows user to edit and customize
an activity captured by Zenter.
Allows the user to immediately view an
activity’s corresponding category.
D2
D3
D4
D5
D6
ELEMENT DESCRIPTIOND1
D2
D3
D4
D5
D6
ANNOTATED VISUALS
FIG. 6 - HOME: VIEW WELLNESS OVERVIEW AND NOTIFICATIONS

17. Zenter 17
LABEL
E1
CURRENT URGENT
NOTIFICATIONS
NOTIFICATION
DETAILS
PRESCRIPTIVE
PROMPT LINK
NAVIGATE URGENT
NOTIFICATIONS
Informs the user of an urgent behavior
with which may have some significant
impact on their wellness.
Click on the hint to get more details
about what the user can do
Navigation arrow appears when there are
more than one urgent notification.
Enables users to navigate through
prompts.
E2
E3
E4
ELEMENT DESCRIPTION
E4
E3
E2
E1
ANNOTATED VISUALS
FIG. 7 - HOME: VIEW URGENT PROMPTS
Informs the user of the number of
current urgent notifications that the
user needs to address

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LABEL
F1
HINT DETAILS:
ACTIONABLE
PROMPT
CLOSE HINT
PROMPT
CATEGORY
Offers user actionable plan for balancing
wellness at the event of severe imbal-
ance.
Enables user to close hint details
Informs user which category prompt
relates to.
F2
F3
ELEMENT DESCRIPTION
F1
F2
F3
ANNOTATED VISUALS
FIG. 8 - HOME: VIEW URGENT PROMPTS AND HINT DETAIL

19. Zenter 19
TECHNICAL SPECIFICATIONS
Interactive Learning
Zenter is a learning system that generates a predictive
model based on the user input against the data from the
sensors, calendar events, specific user goals, etc. The
model, in its infancy, starts off being very blind and non-
specific to the current user, so the initial recommendations
or notifications may or may not be relevant or accurate.
Gradually, the user adds more data through sensors and
provides labels by confirming or correcting the algorithm’s
outputs. Through this interaction between the user
and Zenter, the learning system improves its predictive
capabilities over time. In addition, the learning system can
constantly adjust itself to tailor to the ever-changing user’s
needs if given enough data and labels.
Contextualizing user data
Zenter aggregates data from biometric sensors, external
sensors, location sensors, calendar, and past behavior
patterns to attempt to draw an accurate depiction of the
user’s current context. While it is out of scope for this
design specification to dive into the detail of the algorithm
used to contextualize user data, here we illustrate a few
examples of how user data can be incorporated into
Zenter. By combining the user’s location data with work or
home location information provided in the profile screen,
Zenter will have a more accurate prediction of whether or
not the user is at home or at work when certain behavior
patterns are witnessed. We can use the user’s calendar as
another source of information to figure out if the user is
going to be in a meeting and suggest activities based on
that information. Common biometric sensors such as a
heart rate monitor and electrodermal sensors can be useful
not only for determining the user’s physical wellbeing but
also for detecting mood or stress signals. Because some
stress factors are good while some can have a negative
impact on the users, combining the stress signals with a
more accurate prediction of the user’s current activity can
enhance Zenter’s recommendation system.
Contextualizing user data allows Zenter to provide two
outputs, which we discuss further in the next two sections:
(1) recommendation of potential activities to meet certain
unmet goals, and (2) user’s activity notifications that
potentially meet certain goals for user confirmation or
modification.
TECHNICAL SPECIFICATIONS

20. Zenter 20
Activity Recommendations
Our user research indicated that users want more
actionable insight or interpretation of their data.
Zenter’s learning algorithm will analyze the user’s past
performances, current environment, user specified
goals, and current wellness state to identify areas of
improvement. For example, if the user tends to work
longer hours than desired, her physical wellness category
is falling behind, and her meeting in 20 minutes is in a
building half-mile away, Zenter will alert the user to walk to
the next meeting destination and illustrate how this activity
could impact and balance her overall wellness.
Activity Notifications
Our user research concluded that users quickly lose
motivation when they are required to manually input data
towards goals (e.g. Lose It! and logging detailed nutrition
information). In order to help the users from having to log
their individual activities, Zenter tries to interpret the user’s
behavior and contextualize the information to come up
with a prediction for an activity that best describes their
behavior. A user may be engaged in an activity that can
be counted toward a goal they have set up.
For example, the user talks on the phone with his sister
for 20 minutes on the way home from work. Because
Zenter notices the changes in user behavior from the call
logs and the location sensor, it classifies the event as an
action that could be used towards the work-life balance
category and alerts the user with an activity notification.
If the notification is correct, the user can quickly confirm
the notification to add towards the suggested goal. If the
notification is incorrect, the user can edit its details and this
information will feed back into the system to improve its
predictive model.
Data Visualization
Existing products related to fitness, nutrition or finances
provide numerous charts that only visualize the
measurements taken by the sensors or data collected from
the user. Our users responded to these [existing fitness
activity] charts as “nice graphs” that provide little meaning
regarding interpretation of what that data meant in terms
of positive or negative consequences on their health.
Zenter’s learning system will interpret the measurements
by the sensors combined with user specified goals and
behavioral pattern recognition to provide a simple and
intuitive visualization of the user’s current wellness state.
Since the goal of Zenter is to help the user balance various
wellness categories, we visualize the user’s current state in
a circle which helps recognize the obvious imbalance. As
the user confirms activities toward each category, the circle
will fill up visually to give immediate feedback from the user
input and to show progress towards completing the goals in
each category.
TECHNICAL SPECIFICATIONS

21. Zenter 21
FUTURE WORK
Moving forward with the project, our initial step would be
to continue to iterate on usability tests to confirm the value
our modifications add to the application. Another future
step that is vital for the current progress of the project is
to run AB tests in order to determine which graphic and
interactive visualization elements work best and are more
intuitive for our users. In order to properly assist our users
with the recommendation feature we would like to do
further research the for the AI algorithm and how we can
build a database and pair a recommendation with a user.
The following step would be to expand the scope of the
application. Our current scope limited the project to only
three of the eight wellness categories that we discovered
were important in our initial research. Following the
addition of these categories the application as a whole
would change to accommodate for the functionality
needed to support them. We would research how much
data a wearable collects and how we can unify all existing
sensors and metrics to support to support holistic wellness
measurements. When we explored the vast wearable device
market, we noticed a gap in the way that the users are
presented with activity data. It made no real summary of
what these numbers meant and sometimes only provided
micro views. We would like to either conduct research into
how the wellness categories depend and affect each other
or find an expert in the field to assist us in our development
goals in order to offer the most comprehensive wellness
tool available to users today.
FUTURE WORK