Scoot

Feature redesign of airline mobile app

RumA

An AI-native smart living experience envisioned with intelligent, collaborative agent that proactively optimize home energy and environment, yet keeping human control as core.

An AI-native smart living experience envisioned with intelligent, collaborative agent that proactively optimize home energy and environment, yet keeping human control as core.

Client

Smart home owners/occupants

Client

Smart home owners/occupants

Scope

Home AX, UXUI, prototyping

Scope

Home AX, UXUI, prototyping

Type

SAAS - Smart living technology

Type

SAAS - Smart living technology

Format

Mobile app

Format

Mobile app

Year

2026

Year

2026

Designing a Trustworthy Intelligent System for

Energy-Aware Smart Living

Designing a Trustworthy Intelligent System for Energy-Aware Smart Living

Designing a Trustworthy Intelligent System for Energy-Aware Smart Living

Concept

Concept

Smart home feels less like a “control”, but more like a companion that understands you and keeps your routines simpler, reassured with transparent automation.

Smart home feels less like a “control”, but more like a companion that understands you and keeps your routines simpler, reassured with transparent automation.

How We Impact

How We Impact

We evaluated the mockup with 3 participants across both manual and agentic home recovery scenarios, the key qualitative findings include:

We evaluated the mockup with 3 participants across both manual and agentic home recovery scenarios, the key qualitative findings include:

From Control to Confidence

Built greater trust and comfort with proactive agentic decision-making over passive manual control in home management.

From Control to Confidence

Built greater trust and comfort with proactive agentic decision-making over passive manual control in home management.

Less Checking, More Living

Simplified home device coordination with lower cognitive load associated with real-time monitoring and reassuring checks.


Less Checking, More Living

Simplified home device coordination with lower cognitive load associated with real-time monitoring and reassuring checks.

Save Energy, Effortlessly

Encouraged energy-conscious living through timely, contextual guidance that aligns with lifestyle preferences.


Save Energy, Effortlessly

Encouraged energy-conscious living through timely, contextual guidance that aligns with lifestyle preferences.


Live Assured

Live Assured

Live Smart

Live Smart

Designed around how people live,

not how devices work

Designed around how people live, not how devices work

Design Phase Walkthrough

Design Phase Walkthrough

Background

Background

Discover

Discover

The hidden cost of everyday energy habits

The hidden cost of everyday energy habits

The hidden cost of everyday energy habits

As smart home grows alongside urban high-rise living across Malaysia and Singapore, managing energy consumption has become a daily behavioral and financial concern. Without clear visibility and timely intervention, energy usage often leads to unavoidable waste – the highest impact habits require remembering, and humans forget.

As smart home grows alongside urban high-rise living across Malaysia and Singapore, managing energy consumption has become a daily behavioral and financial concern. Without clear visibility and timely intervention, energy usage often leads to unavoidable waste – the highest impact habits require remembering, and humans forget.

Challenge

Challenge

Discover

Discover

We built device-centric smart homes,

but not living experiences

We built device-centric smart homes,
but not living experiences

We built device-centric smart homes,
but not living experiences

Despite the growing smart home adoptions, users fall back on manual control and underutilize smart devices as they struggle to configure and understand complex, fragmented ecosystem behaviours and automations.


These gaps limit usability, reliability and energy efficiency rather than providing reassured, comfort and energy-conscious living.

Despite the growing smart home adoptions, users fall back on manual control and underutilize smart devices as they struggle to configure and understand complex, fragmented ecosystem behaviours and automations.


These gaps limit usability, reliability and energy efficiency rather than providing reassured, comfort and energy-conscious living.

Research Analysis

Research Analysis

Discover

Discover

We evaluated interaction models across existing smart home ecosystems through competitive analysis and interviewed 5 participants ranging from urban residents (smart home/ non-smart home users) to Airbnb guests.

We evaluated interaction models across existing smart home ecosystems through competitive analysis and interviewed 5 participants ranging from urban residents (smart home/ non-smart home users) to Airbnb guests.

Synthesis of competitive analysis and

user interview insights

Synthesis of competitive analysis and user interview insights

Synthesis of competitive analysis and user interview insights

Current smart home solutions excel at device connectivity but fall short in delivering clear, simplified and context-intelligent experiences, indicating a potential gap in shifting product focus from command-based to proactive automation and assistance.


Users on the other hand prioritize reassurance, effortless control and transparency over advanced automation, highlighting the need for proactive supports under reassured controls that build long-term trust.

Current smart home solutions excel at device connectivity but fall short in delivering clear, simplified and context-intelligent experiences, indicating a potential gap in shifting product focus from command-based to proactive automation and assistance.


Users on the other hand prioritize reassurance, effortless control and transparency over advanced automation, highlighting the need for proactive supports under reassured controls that build long-term trust.

1 Pain Points

2

3

1 Pain Points

2

3

1 Pain Points

2

3

1 Pain Points

2

3

Problem Statement

Problem Statement

Define

Define

Insight

Users are aware of energy-saving practices but often fail to act consistently due to cognitive load, distractions, and lack of real-time visibility.


Need

Users need to effortlessly monitor, manage and receive assistive support for their home in real time, with the ability to control remotely.


Point of View

Users need an intelligent and reassuring home assistant to reduce stress and energy waste from unreliable manual routines.


How Might We

How might we assist users to feel confident and in control managing their home, while supporting intelligent energy-efficient behaviors?


1 Energy

2

3

Insight

Users are aware of energy-saving practices but often fail to act consistently due to cognitive load, distractions, and lack of real-time visibility.

Need

Users need to effortlessly monitor, manage and receive assistive support for their home in real time, with the ability to control remotely.

Point of View

Users need an intelligent and reassuring home assistant to reduce stress and energy waste from unreliable manual routines.

How Might We

How might we assist users to feel confident and in control managing their home, while supporting intelligent energy-efficient behaviors?

1 Energy

2

3

Insight

Users are aware of energy-saving practices but often fail to act consistently due to cognitive load, distractions, and lack of real-time visibility.

Need

Users need to effortlessly monitor, manage and receive assistive support for their home in real time, with the ability to control remotely.

Point of View

Users need an intelligent and reassuring home assistant to reduce stress and energy waste from unreliable manual routines.

How Might We

How might we assist users to feel confident and in control managing their home, while supporting intelligent energy-efficient behaviors?

1 Energy

2

3

Project Goals

Project Goals

Define

Define

We set out to redesign smart living as a trustworthy, energy-aware, and assistive experience

We set out to redesign smart living as a trustworthy, energy-aware, and assistive experience

We set out to redesign smart living as a trustworthy, energy-aware, and assistive experience

The design aims to transform passive, fragmented device management into a unified, adaptive intelligence that proactively supports everyday routines while keeping users confidently in control to build effortless, energy-conscious and reassured home living.

The design aims to transform passive, fragmented device management into a unified, adaptive intelligence that proactively supports everyday routines while keeping users confidently in control to build effortless, energy-conscious and reassured home living.

User Persona & Journey Mapping

User Persona & Journey Mapping

Define

Define

Users want automation confidence, system clarity and simpler control over smart devices

Users want automation confidence, system clarity and simpler control over smart devices

Users want automation confidence, system clarity and simpler control over smart devices

From user research and behavioral patterns, we identified two primary user archetypes—the habitual controller and the cautious adopter.

From user research and behavioral patterns, we identified two primary user archetypes—the habitual controller and the cautious adopter.

Feature Prioritization

Feature Prioritization

Define

Define

Agentic experiences are built on a balance of control, decision-making and trust

Agentic experiences are built on a balance of control, decision-making and trust

Agentic experiences are built on a balance of control, decision-making and trust

At the foundation of RumA is a unified Home Status Dashboard that powers the “Safe to Leave” experience, providing users with a real-time home/device visibility, actionable insights, and contextual recommendations facilitated by agent behavioral learning.

At the foundation of RumA is a unified Home Status Dashboard that powers the “Safe to Leave” experience, providing users with a real-time home/device visibility, actionable insights, and contextual recommendations facilitated by agent behavioral learning.

Sitemap

Sitemap

Develop

Develop

The user flows are configured into both manual and agentic experiences to support 3 core interaction scenarios: remote recovery flow (manual & agentic) and agent suggestion flow. These flows are designed to guide users recover from forgotten actions, making energy-aware decisions and evaluating trust in intelligent assistance.

The user flows are configured into both manual and agentic experiences to support 3 core interaction scenarios: remote recovery flow (manual & agentic) and agent suggestion flow. These flows are designed to guide users recover from forgotten actions, making energy-aware decisions and evaluating trust in intelligent assistance.

Wireframes

Wireframes

Develop

Develop

Wireframes focused on exploring how users could access critical recovery home status and actions with minimal cognitive effort. Multiple navigation and interaction concepts were explored to balance homepage displays, device management, control visibilities and agentic responds.

Wireframes focused on exploring how users could access critical recovery home status and actions with minimal cognitive effort. Multiple navigation and interaction concepts were explored to balance homepage displays, device management, control visibilities and agentic responds.

Prototype Improvements

Prototype Improvements

Develop

Develop

Design iterations were evaluated to determine the effectiveness of the homepage design through A/B testing. The main objective was to introduce a more task-oriented experience instead of a visually expressive dashboard – with enhanced visual clarity and information hierarchy of key actions that improve alert screening and decision-making.

Design iterations were evaluated to determine the effectiveness of the homepage design through A/B testing. The main objective was to introduce a more task-oriented experience instead of a visually expressive dashboard – with enhanced visual clarity and information hierarchy of key actions that improve alert screening and decision-making.

Usability Test

Usability Test

Deliver

Deliver

We recruited 3 participants for usability test to assess how users interact with RumA’s remote recovery experience, agentic automation flows and AI-driven smart home suggestions, which validates its success in delivering reassurance, effortless control, assistive intelligence and transparent automation within everyday smart living scenarios.

We recruited 3 participants for usability test to assess how users interact with RumA’s remote recovery experience, agentic automation flows and AI-driven smart home suggestions, which validates its success in delivering reassurance, effortless control, assistive intelligence and transparent automation within everyday smart living scenarios.

Learn & Iterate

Learn & Iterate

Deliver

Deliver

Users valued the assistance,

but needed more clarity

Users valued the assistance, but needed more clarity

Users valued the assistance, but needed more clarity

The findings suggest that RumA’s overall prototype successfully communicates a calm, assistive smart home experience with agentic conversational layer that is transparent, collaborative and proactive in providing energy-saving guidance, but requires stronger emphasis on:


1) interaction discoverability

2) reassurance visibility

3) conversational clarity for first-time users

The findings suggest that RumA’s overall prototype successfully communicates a calm, assistive smart home experience with agentic conversational layer that is transparent, collaborative and proactive in providing energy-saving guidance, but requires stronger emphasis on:


1) interaction discoverability

2) reassurance visibility

3) conversational clarity for first-time users

Next Steps

Next Steps

Deliver

Deliver

From pixels to experience,

let’s build it together

2026 brianchan

All rights reserved.

From pixels to experience,

let’s build it together

2026 brianchan

All rights reserved.

From pixels to experience,

let’s build it together

2026 brianchan

All rights reserved.