Train of Attention is a multimedia digital training program aimed at enhancing the attention control and executive functioning abilities for children with with Attention Deficit Hyperactivity Disorder (ADHD). This project is developed alongside a team of psychologists from Innovation in Learning and Teaching LTD (iLT LTD.) in Hong Kong. The project consists of a iPad training application and a EEG neurofeedback sensors that come together as a training system for children with ADHD.
iLT LTD. has a vision to promote, foster and encourage the advancement of innovative technology with applications in education, teaching and learning. This project aimed to develop a training system that is affordable and accessible for the ADHD children. There are many traditional methods of training that are dated and lack the use of computer system of technology. Neurofeedback sensors are normally inaccessible for many children as they are costly and hard to operate. With neurofeedback sensors becoming more ubiquitous, there appears to be a space and an opportunity to create a type of training that can be accessed by the ADHD children and their family. Train of Attention focuses in the fields of user-centered design and psychology to create an attentional training system for children from the age of five to eleven with ADHD.
Through contextual research in the field of psychology, attentional training can lead to significant improvements in the conditions of the ADHD children as the children’s brain plasticity is the highest at a young age. Neurofeedback is shown to be able to be a powerful method of treatment. It is important for the ADHD children to have the training tool that can help treat their attentional deficit problems.
About the neurofeedback Sensor BrainLink Lite
BrainLink Lite that uses “biological feedback technology”. It is a headband with a set of sensors that can detect signal waves from the human body to the sensors. The detected waves are then converted into data that can be viewed on digital devices through the Bluetooth connection or be used in a mobile application. This tool is a mobile, affordable and easy way to allow our users to track their attention level throughout the training process. This sensor cost $150 USD.
The process began by defining the main goal, needs and features of the training application. We needed to know what are the goals and needs of the attentional training for ADHD children.
Wireframes for early Stages
Who are the main users?
There are three main user groups:
Children with ADHD from the age of five to eleven.
Parents and caretaker of the children who would accompany and guide the children through the training process
Psychologists who would provide the expertise in the field of ADHD.
Testing and Iterations
Phase 1 - Pairing BrainLink EEG Sensors with Children
This is tested with children from the age of five to eleven. The main focus was the integration of the neurofeedback sensors from BrainLink, the Neurosky Visualizer application where the attention can be tracked and how the children would react to wearing a neurofeedback headset while addressing tasks that demands their attention.
Phase 2 - Pairing the neurosky EEG sensors with the iPad Application
This test was created to pair the neurofeedback headband BrainLink Lite with the mobile training application. The main features of the training method were tested here. In the game, the child is the conductor who is operating the train. The children will move the train along the route on a mobile application prototype by focusing their attention. The testing will be done by pairing up the iPad application prototype with the BrainLink Lite Band. The time will be recorded to see how fast and accurate each child is to complete the train route.
The System Design
The final training application consists of the BrainLink Lite EEG sensors paired with the mobile application.
Play with the Interactive Prototype
The Mobile Application Flow
Begin training with a personal assessment in the onboarding process:
The daily training user flow:
The application user flow