An IoT notification device that allows the user to filter messages and information by their importance levels and the user's focus level. The device pairs with IFTTT and features three balls made of different materials to represent the user's focus levels.

Nowadays, all the notifications and messages come to us without any difference. What if we filter the information by their importance level and our focus level so that we can take control of all the information ? The more focused we are, the less information will we receive and only relevant messages.

NOTI attempts to address modern society's struggle with information overload through a physical object that mediates our notifications based on our capacity to focus at a given time. This project illustrates that these alerts may be reducing our emotional bandwidth and ability to engage with our surroundings. Interaction with physical weighted round balls creates an experience that reminds us of the heaviness data can play on our lives.




We are constantly interrupted by all kinds of notifications, yet we are afraid to turn them off. It takes an average of 25 minutes to return to the original task after an interruption.

How can we retain our attention and filter the information based on the context of the users?



I conducted user interviews to drive the planning phase. These are the key findings that defined the initial version of the product.


Varied Focus Needs

People have varied focus needs depending on different scenarios, such as during work or during the entertainment. They want several options to filter the information.

Easy to Use

People want an easy and intuitive way for the system to know their focus level.

Physical Device with Digital App

People are easily distracted if their phones are around them. Once they get on the phone, it's very likely for them to spend more time than expected. Having a physical device that only provides the notification function while in the domestic setting can help them focus.

The digital app allows the user to edit the filtering list (the white list) and turn on the different focus mode while they are on the road.


How might we filter messages that are based on the context of users' focus levels? 

To design an IOT notification device that filters messages by their importance levels and the user's focus level.


The project is trying to reflect on this issue and propose a new way to receive messages based on the user's focus level. There are three focus levels: Light Focus, Medium Focus and Heavy Focus. They are represented by three balls made of different materials: Wood, Acrylic and Steel - Which have different weights.

The wood ball represents Light Focus while the acrylic ball represents Medium Focus and the steel ball represents Heavy Focus. Each focus level filters different amount of information. The more concentrated the user is, the less information they will receive based on his/her preferences.



The process that shows how to turn on different focus mode and how to set up the white list and the emergency list.




The process that shows how to control the NOTI device to receive different messages.


The Light Focus level is represented by the wood ball.


The Medium Focus level is represented by the acrylic ball.


The Heavy Focus level is represented by the steel ball.


Easy to use

You place a ball on the device and it represents the corresponding focus level. You can customize each filter list easily on the app.

Elegant companion

NOTI sits on the table while you are working or entertaining. It's an elegant table companion helping you to focus.

Humble assistant

NOTI notifies you by the ambient light. It doesn't ask for attention and gets in your way. You can also customize a certain color to a specific contact, ex. "Red" stands for "Family". 

Stay connected

Whether you are at home/office or on the road, you can always use NOTI. It's connected with the Internet and the app can work independently without the device.


The main technologies of NOTI are the Wi-Fi connected Photon and IFTTT.


Sensor Reading


Physical Prototyping