Tomirai

Encouraging PPE compliance relied on passive reminders, which were often ignored.

Tomirai is an AI chatbot interface to engage users more actively, combining conversational support with computer vision to drive awareness and behaviour change.

How might we make the system more interactive, trustworthy, and easy to engage with in real-world contexts?

Encouraging PPE compliance relied on passive reminders, which were often ignored.

Tomirai is an AI chatbot interface to engage users more actively, combining conversational support with computer vision to drive awareness and behaviour change.

How might we make the system more interactive, trustworthy, and easy to engage with in real-world contexts?

🧠 Problem

During the pandemic, maintaining PPE compliance required consistent user engagement, but existing approaches were:

During the pandemic, maintaining PPE compliance required consistent user engagement, but existing approaches were:


  • Passive and easy to ignore

  • Not interactive or responsive to user concerns

  • Lacking real-time feedback on behaviour (e.g. mask usage)

  • Visually outdated, reducing trust and engagement

The initial product was functional, but the interface did not reflect:

  • the innovation behind the technology

  • or the need to engage users in a meaningful way

🎯 goal

Design a platform that:

Design a platform that:

  • Design a chatbot experience that:

    Encourages PPE awareness and compliance through interaction

  • Feels modern, intuitive, and aligned with the innovation centre

  • Builds trust and engagement through a refined interface

  • Supports both information-seeking and behaviour reinforcement

⚙️ Approach 1

Shifting from passive to interactive engagement

Shifting from passive to interactive engagement

Reframed the experience from static messaging to a conversational interface:

  • Users could ask questions

  • Receive contextual responses

  • Engage with the system in real time.

👉 Encourages active participation instead of passive consumption.

⚙️ Approach 2

Supporting behaviour awareness through computer vision

Supporting behaviour awareness through computer vision

Integrated visual feedback mechanisms to:

  • Detect mask usage

  • Prompt users when PPE was not correctly worn

👉 Reinforces behaviour through immediate, contextual feedback.

⚙️ Approach 3

Modernising the interface for trust and usability

Modernising the interface for trust and usability

Redesigned the UI to:

feel more refined and tech-forward

  • Align with the Innovation Centre’s futuristic direction

  • Improve clarity and readability of interactions

👉 Increases user trust and perceived credibility of the system.

⚙️ Approach 4

Simplifying interactions for quick understanding

Simplifying interactions for quick understanding

Focused on:

  • Clear conversational flows

  • Minimal cognitive load

  • Easy-to-understand prompts and responses

👉 Ensures accessibility for a wide range of users.

📦 Outcome

  • Increased engagement with the chatbot through a more interactive and approachable interface

  • Improved clarity and usability of information for users seeking guidance

  • Strengthened trust in the system through a more modern and credible design

  • Supported PPE awareness by combining conversational interaction with real-time feedback

Open to UX roles and ad-hoc projects.
Feel free to reach out via email or LinkedIn.

EEmmaaiill
LLiinnkkeeddIInn

UX

WEB DESIGN

© 2026 · Built on Framer

Open to UX roles and ad-hoc projects.
Feel free to reach out via email or LinkedIn.

EEmmaaiill
LLiinnkkeeddIInn

© 2026 · Built on Framer