Project Brief-
Designing an intuitive and accessible mental health app with a focus on-
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Cost-effectiveness
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AI-assisted diagnosis and personalized recommendations
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User-friendly interaction
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Real-time family health monitoring
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Duration: 20 weeks
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Project Type: IOS Mobile App, AI Mental Health App, Capstone Project
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Tools: Figma, Illustrator, Photoshop, Maze (Usability Testing), Tableau, JavaScript, Zoom (interviews), Slack, Google Slides, Google Form
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Key Focus: User Experience (UX), Human-Computer Interaction (HCI), and Accessibility
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HealQuest- Enhancing Mental Health with AI & HCI
Here's bird's eye view of my Research process
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Research
Discover
Define
Design
Deliver
Research
Why does this matter? ​​
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Global health challenges
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Physicians unavailable 24/7
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Lack of immediate support
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Worsening conditions
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Urgent cases prioritized
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Potential fatal outcomes
Current Usage Scenario
What are my design goals?
Benefits to the society
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Immediate support
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Alleviation of Discomfort
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Time Saving
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Cost Saving
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Reduced hospital visits
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Critical for patients in urgent need of medical attention.
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Knowledge of Medical terms
Understanding User Needs
Strenght of this application
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Instant Solutions
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24/7 availability
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Accessibility
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Health Monitoring
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Check AI accuracy
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Medicine Reminder
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Urgency Highlight
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Recommendation and Solutions
When HealQuest App Launch
Understanding the Users
With the problems above I did 20 interviews in order to understand the users painpoints and its needs.
Participants Background
“I dont want to visit doctors on my minor sickness. It cost lot money and time waste.”
“I would like to get reminders about drinking water, taking medicines, go for walk etc”
Medical Online Platform used by Participants before
“I want to keep a track of my family health. Me living far away from family dont get proper information about their well being as they get hesitated to tell and this worries me”
“I would expect an app to track heartbeat, ask questions on how you feel, predict future and what can help, early diagnoses and general check up.”
“Would love to have an AI that can provide counselling sessions”
“I would like to get easy remedies, diet charts, contact to the doctor immediately, find solution to problem, guidance on report and medicines.”
Interview Result Data
During interview, a significant number of participants expressed discomfort with the idea of relying on AI advice and conveyed a preference for trusting real doctors over artificial intelligence. This intriguing response prompted me to delve into extensive research to explore the viability of an application in the future healthcare landscape. The investigation aimed to scrutinize whether an app could bridge the trust gap and coexist with traditional medical expertise.
Findings!
Researchers says since the introduction of Chat GPT, users have gained more trust in AI technology for health advice and information. According to the study, participants accurately recognized healthcare-related responses from ChatGPT 65.5% of the time, and human healthcare provider responses were identified correctly 65.1% of the time. This suggests that chatbots have the potential to aid in patient-provider communication, especially for tasks like administrative duties and managing chronic diseases.
1. Healthcare Institutions: Hospitals, Clinics, Private Practices, and Healthcare Networks.
2. Pharmaceutical Companies: Organizations developing medications and treatments.
3. Regulatory Agencies: Government bodies overseeing healthcare practices.
4. Data Protection Organizations: Ensuring user data privacy.
5. Pharmacies: Providers of medications and medical supplies.
It is imperative to ascertain the key stakeholders involved that will serve as benchmarks for the success of the product. This foundational understanding is instrumental in aligning design goals with the overarching objectives of all relevant parties, ensuring a strategic and effective development process.
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Wireframes
Key Stakeholder
Direct
1. Healthcare Providers: Doctors, Nurses, Specialists, Therapists
2. Caregivers: Family Members, Friends, Nurses Monitoring Patients.
3. Administrators: Staff members managing the app.
4. Researchers and Data Analysts: Analyzing health data for research and improvement.
Stakeholder
Indirect
Final Design
Log In/Sign Up
Home
Account Setting
Setting List
Mental Health Level Check Process
Scan Your Report
Text Chat
Medicines Schedule & Family Track
Light Theme
Usability Testing Evaluation
Online usability tests were conducted with the same participants who were interviewed earlier. The tests focused on key metrics such as accessibility, navigation satisfaction, task success, and efficiency. These metrics were measured using an online platform called MAZE (https://t.maze.co/199786294). Participants completed specific tasks, and their success or
failure was recorded to assess effectiveness.
Participants
Result
Usability Testing Record
The users shared positive feedback about the mobile application, highlighting its efficiency, ease of learning, user-friendly navigation, appealing interface, and engaging content. They found it educationally beneficial due to the useful tools and content.
Some users had specific expectations that were not met during the tasks. Understanding their needs and aligning the application to meet these expectations is crucial for a more satisfying user experience.
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Discussion
Surprising moments, like confusion about certain features such as the 'check accuracy' button, emphasize the necessity for clearer explanations to improve user comprehension and value of functionalities. Additionally, considerations for better accessibility regarding text and icon sizes for older users emerged as an essential area for design improvement
Future Implication
The most challenging aspect of evaluating a prototype is meeting the diverse expectations of all participants. User feedback often varies, making it difficult to satisfy everyone's needs entirely. For instance, some participants expressed a desire for the app to offer clearer guidance on navigation, rather than relying on users to figure it out independently. There were also high expectations from AI to provide different results, indicating varying needs and preferences.
In future system design projects, I intend to modify my approach to prototype evaluation based on the insights gained from this experience. Specifically:
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I plan to engage with users at the early stages of the design process to understand their expectations and requirements. Involving users from the outset will allow me to gather valuable insights and incorporate them into the design efficiently, ultimately saving time.
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I aim to conduct user testing involving a more extensive and diverse pool of participants. Engaging a wider range of users will help identify a broader spectrum of issues and considerations.
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Ensuring that features' functions and buttons are clearly explained to users will be a priority. I also intend to focus on enhancing accessibility, such as adjusting text size and improving icon visibility, to ensure the app is user-friendly for all users.