User Scenarios
This document presents six user scenarios designed to highlight HeatH’s accessibility and personalization features across both web and mobile platforms.
User Profile
- Name: Alex
- Age: 25
- Background: Fitness enthusiast, personal trainer with an active lifestyle
- Device: Web browser (laptop)
- Goals: Quick recipe access and meal planning for workouts
Scenario
Alex is a 25-year-old personal trainer who uses HeatH on his laptop during short meal prep breaks between training sessions.
He needs quick access to high-protein recipes for both himself and his clients.
He opens the web app, searches for “chicken breast recipes”, and instantly finds several options.
The clean, responsive web interface allows him to bookmark recipes and share them with clients via social media.
He appreciates the fast loading times and intuitive navigation, which fit seamlessly into his fast-paced routine.
Key Features Used
- Web-based recipe search
- Social sharing functionality
- Bookmarking system
User Profile
- Name: Mehmet
- Age: 30
- Background: Turkish expat, software engineer living in Germany
- Device: Web browser
- Goals: Access recipes in native language for comfort and clarity
Scenario
Mehmet is a 30-year-old Turkish software engineer working in Germany.
Missing traditional Turkish dishes, he opens HeatH on his laptop to find familiar recipes.
He switches the interface language to Turkish, and the entire platform instantly translates — menus, instructions, and ingredient names.
He searches for “karnıyarık” (stuffed eggplant) and finds detailed Turkish recipes written in terms he knows.
This language support helps him reconnect with his culture while easily understanding every cooking step.
Key Features Used
- Multi-language support (Turkish)
- Language switching functionality
- Web accessibility
User Profile
- Name: Robert
- Age: 65
- Background: Retired teacher with Parkinson’s disease
- Device: Web browser with assistive tools
- Goals: Type and search easily despite motor difficulties
Scenario
Robert is a 65-year-old retired teacher who loves cooking but struggles with hand tremors that make typing difficult.
Using HeatH on his desktop with voice recognition software, he starts typing “chicken”.
Immediately, the autocomplete feature suggests “chicken breast”, “chicken soup”, and “chicken curry”, allowing him to complete his query with a single click.
These smart predictions reduce typing effort and frustration, helping him enjoy cooking independently.
Key Features Used
- Autocomplete functionality
- Predictive text input
- Web accessibility
User Profile
- Name: Sarah
- Age: 22
- Background: Computer science student
- Device: Mobile phone
- Goals: Browse recipes late at night without eye strain
Scenario
Sarah, a 22-year-old computer science student, often studies late into the night.
Around 2 AM, she opens HeatH on her phone to find a quick midnight snack.
She taps the moon icon in her profile settings to switch on dark mode.
Instantly, the interface turns dark and soothing — reducing glare and avoiding disturbance to her sleeping roommate.
She browses comfortably, finds a simple pasta recipe, and cooks it while reading from the calm, eye-friendly display.
Key Features Used
- Dark mode toggle
- Mobile-optimized interface
- Eye strain reduction
User Profile
- Name: Emma
- Age: 28
- Background: Graphic designer with dyslexia
- Device: Mobile phone
- Goals: Read and follow recipes without confusion
Scenario
Emma, a 28-year-old graphic designer with dyslexia, enjoys cooking but finds standard fonts hard to read.
When she opens HeatH, she notices a font toggle button (📝/🔤) in her profile settings.
Switching to the OpenDyslexic font, she immediately finds reading smoother — the unique letter shapes help her distinguish similar characters.
Now she can follow recipes clearly, enjoying cooking without frustration.
Key Features Used
- OpenDyslexic font integration
- Font toggle functionality
- Improved readability
User Profile
- Name: David
- Age: 35
- Background: Marketing manager with red-green color blindness
- Device: Mobile phone
- Goals: Navigate the app without color confusion
Scenario
David is a 35-year-old marketing manager who uses HeatH during lunch breaks.
Like many with red-green color blindness, he often struggles to differentiate success (green) and error (red) messages in apps.
In HeatH, he activates the color-blind mode using the eyeglasses icon (👓).
The interface automatically changes green highlights to blue, and red to dark red, ensuring clear contrast.
He can now instantly tell when a recipe saves successfully or when an error occurs — improving both usability and satisfaction.
Key Features Used
- Color-blind mode toggle
- Green-to-blue color transformation
- High-contrast design
| User | Device | Feature | Key Benefit |
|---|---|---|---|
| Alex (25) | Web | Responsive interface | Speed and efficiency for active users |
| Mehmet (30) | Web | Turkish language support | Comfort and cultural familiarity |
| Robert (65) | Web | Autocomplete | Easier input for motor-impaired users |
| Sarah (22) | Mobile | Dark mode | Eye comfort during night use |
| Emma (28) | Mobile | Dyslexic font | Better readability |
| David (35) | Mobile | Color-blind palette | Clear visual feedback |
