Headband Bookmarks Your Favorite Digital Content Using Sensory Data
The Amoeba device measures bio-data like breathing rate and pupil dilation to analyze the user's interest levels online.
Students of the Royal College of Art and Imperial College joint Innovation Design Engineering course have developed a 3D-printed wearable device that records biometric data to evaluate the user’s interest in a piece of content while they are browsing online.
Developed by Sanya Rai, Florian Puech, and Carine Collé, Amoeba is a headset with built-in sensors that measure bio-data like breathing rate, pupil dilation, and skin conductance, and evaluates the wearer’s interest in what they are looking at.
The headset has a single lens with a camera that records pupil dilation, an arm with sensors that measure the conductivity of the skin, and heat sensitive sensors that records breathing rate.
The Amoeba software takes the recorded information and uses it to assess the user’s interest. The user will be able to see a simplified visual summary of the digital content they were browsing through and see which ones they were most interested or least interested in.
According to Amoeba’s creators, the wearable device aims to help users navigate through digital data easier and more intuitively. One of the potential applications for the device is measuring how ads or campaigns impact consumers. Another application is assessing students’ engagement in online education programs. The device can be used to determine what kind of platforms are effective.
Check out the video below for more about Amoeba.