Wellness Check is a VUI "voice as a user interface" journal application that aims to help improve users' mental well-being. 
* Wellness Check is a hypothetical product created as a final project for Informatics 286: Innovation in HCI and Design as part of the UCI Master of Human-Computer Interaction and Design Program, Summer 2021.
In order to ensure that the design was influenced by accurate data, I conducted a literature review. The purpose of this Literature Review is to explore the different implications social media has on individuals and the public during the COVID-19 pandemic.

Contents 
1. Insights 
2. Problem Space 
3. Objective 
4. Features 
5. Use Cases 
6. Dialog Flow
7. Information Architecture 
8. Low Fidelity Wireframes 
9. High Fidelity Mockups 
10. The Benefit ​​​​​​​
1. Insights 

• Social Media worsens some individual’s mental health, leading to higher rates of mental health issues, such as anxiety & depression.
• Social Media improves some individual’s mental health, by providing vital information and emotional connection for the socially distant. 
• Social Media contributes to the rise of the info-demic, making misinformation more accessible than ever.
2. Problem Space 

Synthesis
Social media has varying effects on an individual’s mental health depending on the context of their life.
Problem statement
How might we design a product that accounts for the complex factors affecting individuals’ mental health and offer curated care? 
3. Objective  

Let’s focus on the mental well-being of those suffering during the COVID-19 pandemic.
Let’s offer a design solution that is context-specific.
4. Features   

Context-Specific Interactions 
• Check-ins 
• Thoughtful advice 

Multifaceted Analytics 
• Mental health tracker 
• Mental health vs social media usage usage 

Custom Care 
• COVID resources 
• SOS 
• Routines 
5. Use Cases
6. Dialog Flow
7. Information Architecture 
8. Low Fidelity Wireframes 
9. High Fidelity Mockups

10. The Benefit  
Accessible mental health guidance.
VUI (voice as user interface) offers the customer a fluid and efficient method of expressing emotions. 
Different analytical views empower customers to record and monitor their emotional progression over time.
Multi-faceted data input presents the correlation between mental health status and social media usage.
Covid specific mental health resources.
Through machine learning, wellness check provides curated support that encourages customers to do what is proven to help them in the past.
Back to Top