EMO health app

Emotional Check-In Feature

Emo Health App is a mental health companion designed to help users express and track their emotions. By logging their feelings, users can gain valuable insights into their emotional patterns, fostering self-awareness and well-being. Whether it's journaling moods, identifying trends, or simply reflecting on emotions, Emo Health App provides a safe and supportive space for mental wellness.

BioTrack

Enhancing Healthcare with Biofeedback-Driven Insights

The Client develops programs for devices that read biofeedback to inform healthcare providers biometrics that could lead to better health care.

The Challenge

Design and develop a user-friendly consumer product aimed at helping individuals manage stress and anxiety. Through research-driven insights, the product provides effective tools and features to promote relaxation, mindfulness, and emotional well-being for a healthier, more balanced lifestyle.

4 weeks

  • Research

  • Define

  • Ideate

  • Prototype

  • Test

    Iterate

Success

MVP with unique value
proposition that aligns
with client’s business
strategy.

UX Team

  • Emily Chang

  • Vincent Cheung

  • Andy Agus

Tools

  • Adobe Design

  • Suite

  • Figma

  • Miro

  • Otter.ai

    Procreate

Human-Centered Design

Design Approach

Find opportunities within the mental health app space.

Promotes healthy habits of coping with stress & anxiety.

Appeal to users between the ages of 18 - 28

We were set to find out...

Design Approach

Questions

How does anxiety and depression affect young adults in their twenties today?

What are they anxious about?

When are they triggered?

End-User Interviews

1 round of end-user research6 participants ages 22 - 28

SME Interview

3 High School Counselors.
1 Medical Resident.
3 Ph.D in Psychology & Psychiatry.

User Testing

2 rounds of user testing,
9 participants age 24+

Top Findings

The most common mental illnesses in the United States fall under the category of anxiety disorders

From User Interviews

100% Feel alone in dealing with their anxiety from personal challenges

33% Use medication as a way for them to cope with anxiety & depression

17% Actively taking action to address their anxiety

Pain Points

  • Everyone copes with anxiety differently

  • Stigmatized & dealing with it alone

  • Lack of Awareness

Exploring Solutions

To Develop Emotional Awareness

Ideate

The Mood Ring brings emotional awareness to the wearer by sending a visual feedback to externalize something invisible.

Instead of telling our user how they’re feeling, we wanted the user to practice telling emo how they're feeling.

We were set to find out...

Design an avatar so users can see their emotions reflected back at them

On Boarding Prototype 1

The initial prototype allowed the user to select one of the five shapes that created the gem motif to give the user a sense of customization.

Stamen, a San Francisco-based design firm specializing in maps and data visualization.

Like colors in a color wheel, there are primary emotions that create other related emotions.

Wheel of Emotion
The research from the Atlas of Emotion lead to the work of psychologist Robert Plutchik who came up with the wheel of emotions.

Help users track their emotions

Liked the idea of an avatarDid not like the abstract shapesThought the colors were confusing Wanted avatar to have more character

Final Designs

Interation

To address our client’s request for a less abstract avatar for approval, I had a day to come up with an idea for an iteration of the avatar to test.

I discovered Dr. Plutchik’s Wheel also inspired the 2015 Disney Pixar Film Title ‘Inside Out”

Characterizing emotion

Prototype 2: EMO the Lion

User Testing Results

100% users said they would use the Check-In feature

Likes how avatar allows users  the ability to take an ‘inventory’ on their emotions.

Opportunities

90% of users want the ability to customize their avatar.

Future Recommendations

Further testing is  needed to determine which avatar to proceed with.

Colaborate with the engineering team

Explore if facial recognition can read a user's expression to see if digital phenotyping can identify patterns between the user's facial expressions and their check-in habits

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