2026
Oico Smart TV
UX/UI Design
Smart Ecosystem
Overview
Oico turns the TV from a passive screen into an adaptive social companion for urban solo-dwellers. Designed for multifunctional small spaces, it ensures seamless digital co-presence and ambient transitions through a TV interface, dedicated remote, and mobile companion app. Validated through iterative testing, the integrated ecosystem significantly outperformed legacy smart TVs in usability and emotional engagement.
My contribution
UX research, user testing & benchmarking
System concept definition & information architecture
TV UI design system
High-fidelity interactive prototyping
Project’s scope
Smart TV ecosystem & IoT kit, mobile companion app, hardware prototyping for remote, camera, and stick.
Timeframe
4 months, February - June 2026
01
Context & Problem Framing
In compact, multi-purpose homes, solo-dwellers struggle to balance shifting daily routines and persistent isolation. Yet, the living room TV remains a passive display, forcing shared moments onto fragmented secondary screens.

02
Research
Benchmarking existing TVs against industry best practices and pain points established our baseline, which we validated through user interviews and testing grounded in domestic routines.
1
HEURISTIC EVALUATION & COGNITIVE WALKTHROUGH
7 TV systems
2.1
QUESTIONNAIRE
87 respondents
2.2
USER TESTS
10 users
Usability user testing
Hierarchical task analysis
SEQ
UEQ
Quanititative PrEmo
3
INTERVIEWS
10 users
03
Core Insights
Meaningful shared moments
Enable seamless co-presence and shared moments across distances through a single unified interface.
Flexible ambience
Fluidly adapt screen behavior to evolving domestic routines while synchronizing with home devices.
Privacy and Independence
Empower users with intuitive control over their visibility and privacy, balancing connection and autonomy.
Reliable system
Provide consistent cross-interface experiences, clear feedback, and error prevention.

04
Concept

The
Flexible
Companion
From casually chatting at 9am to shared movie at 9pm, it moves through your day with you
Co-presence & Privacy
Share ambient presence or schedule movie nights and focus sessions with direct invites, supported by instant privacy controls, to stay connect while never giving up on your autonomy.


Ambience & Scenes
Create, schedule, and automate custom Scenes that sync automatically to your smart lights, home devices, and screen widgets to your daily routine.
05
Process & Prototyping
Through an Agile prototyping framework, each fidelity stage, from paper mockups to interactive software, was validated with target users to ground system mechanics and ergonomics in real feedback.

06
The Ecosystem
Oico brings adaptive intelligence to any TV without requiring new hardware. Paired with smart objects, the ecosystem reshapes the entire room, tuning lighting, atmosphere, and social presence to separate daily routines.
TV Interface
Connected home accessories that sync automatically with active scenes.



Plug-in Kit
HDMI stick and camera module turning standard screens into connected hubs for shared moments.
Remote
Tactile handheld controller with inputs that automatically adapt to the current active scene.

Companion App
Mobile app to pair devices, invite guests remotely, edit profiles, and purchase kit extensions.
Extended Kit
Connected home accessories that sync automatically with active scenes.


07
Testing & Benchmarking
Target users tested the complete ecosystem through comprehensive heuristic and usability evaluations. Benchmarked against legacy smart TVs, the results confirmed significantly reduced friction and heightened emotional resonance.

SEQ
The SEQ of core tasks from the user research improved.
PREMO
Emotions: higher positive, lower negative. However there is a higher boredom spike.
UEQ
Improvements in all aspects, in particular in efficiency, dependability and perspicuity.
Lower stimulation confirms Premo results on boredom.
Results from the final tests on Oico ecosystem.
Results from the tests conducted during the research phase.
Key Learnings
Multi-touchpoint ecosystem integration
Context-driven & mixed-methods research
Advanced interactive prototyping
Additional credits
Project developed with Diana Berselli, Lucia Guan, Vittorio Paltrinieri, and Denny Shu for Politecnico di Milano.