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Uxui_Onje.png

Agnos

Mobile Application

A UX/UI redesign project for the Health Checkup Report section in the Agnos application. The project focused on simplifying complex health information, addressing user pain points, and improving the overall user experience through a clearer information structure and an easy-to-understand one-page report design.

FUTURE IMPACT

In the future, the ONJE can be further enhanced by improving environmental realism through more advanced lighting systems to create a more immersive experience. Multi-language support could be introduced to make the exhibition accessible to a wider global audience, while expanding avatar interactions with a greater variety of gestures and expressions would enable more personalized engagement. Additionally, integrating a navigation map would help users explore the exhibition more easily and intuitively. Together, these enhancements would improve usability, accessibility, and overall user engagement, with the potential to evolve into a more scalable and inclusive platform for global fan experiences.

DESIGN IMPROVMENT

After conducting usability testing, several key issues were identified that impacted the overall user experience. It became clear that navigation needed to be more structured and intuitive, allowing users to move through the exhibition without confusion. The visual environment was also refined, particularly lighting, to improve content visibility while maintaining an immersive atmosphere. In addition, interaction cues were enhanced to make interactive elements more discoverable, including clearer visual indicators and onboarding guidance to support user engagement.

USABILITY TESTING

A prototype was developed using Unity to evaluate the initial wireframes and overall exhibition experience. The usability test was conducted with 12 participants to identify usability issues and interaction challenges.

ISSUE 1: NAVIGATION CONFUSION

Users were able to walk through certain gallery walls and did not follow the intended navigation flow.

ISSUE 2: LIGHTING VISIBILITY

Some areas of the exhibition had overly bright lighting, affecting visual comfort and content visibility.

ISSUE 3: UNCLEAR INTERACTION
Users did not recognize that images in the gallery were interactive (e.g., clickable for information and audio).

HIGH-FIDELITY WIREFRAME

DESIGN SYSTEM

DesignSystem_Onje.png

INFORMATION ARCHITECTURE (IA)

I mapped out the user flow to design a clear and intuitive journey through the AR exhibition, focusing on how users explore different sections and interact with the content.

ONJE_USERFLOW.jpg

TIMEFRAME

3 days

ROLES

  • Visual Design

  • UXUI Design

  • Prototyping

  • User Reseacher

SOFTWARE

  • Figma

SUMMARY OF USER INSIGHT RESEARCH

Participants:

  • 4 female officer workers (aged 24-35 yrs) : varying levels of understanding, rely on summaries

  • 1 male self-employed (61 yrs) : detail-oriented, seeks full understanding

  • ​1 female unemployed (64 yrs) : high anxiety, reassurance-seeking

Core Insight :

  • Users don’t need more data — they need clarity, guidance, and reassurance to understand and act on their health confidently

User Needs:

  • Plain-language explanation for each result

  • Clear prioritization (what matters most & urgency level)

  • Specific next steps (what to do, what to avoid, when to act)

  • Easy-to-read format with visual support

  • Reassurance and clear explanation to reduce anxiety

  • Contextual explanation (why this result matters and how serious it is)

Key Insight :

  • Users understand only surface-level (normal vs abnormal), not deeper meaning

  • Strong need for translation of medical data to simple language

  • Users struggle to connect “result to what to do next”

  • Emotion affects behavior (anxiety, overthinking, or ignoring details)

  • Users want quick summary first + detailed info later

  • Trust in doctors is high, but users lack support when doctors aren’t available

Pain Point:

  • Understanding Issues

    • Medical terms are hard to understand

    • No clear prioritization

  • Action Gap

    • Lack of actionable recommendations

  • Emotional Issues

    • Anxiety when seeing abnormal results

  • Behavioral Issues

    • Need to search external sources

    • Low engagement when results don’t seem serious

LOW-FIDELITY WIREFRAME

USER INSIGHT RESEARCH

Research Methodology :

I conducted semi-structured interviews with 6 participants who have experience with health checkups to explore their experiences with health checkup reports. The interviews focused on how users interpret their results, the challenges they get, and what they need to better understand and act on their health data.

Research Overview :
The goal of this research is to identify key pain points in understanding health checkup reports and explore how to improve clarity and usability for users.

Interview Questions : 

  1. Have you ever had a health checkup before?

  2. How do you understand your health checkup results?

  3. Which parts are confusing?

  4. Do you usually ask a doctor to explain?

  5. What information is most important for you in a health checkup report?

  6. If a health checkup report used AI to simplify results into categories such as "Normal", "At Risk", or "High Risk", would that help you understand your health better? Why or why not?

  7. How do you usually feel when you receive your health checkup results?

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