Technology that can identify users based on their keystrokes is being developed in order to clampdown on exam cheats.
The EU funded project, being developed by Watchful Software, uses keystroke dynamics to understand who is interacting with a computer. Based on behavioural biometrics, the software uses algorithms which can verify the user in the time it would take them to write a Twitter post.
“It’s kind of like a biometrics, but without the hardware, or a need to have an analysis of the face or even a fingerprint,” the company’s founder and director Rui Melo Biscaia told IT Pro.
The Typewatch software is being developed for The Adaptive Trust-based e-assessment System for Learning (TeSLA) project, a consortium of 18 organisations throughout Europe.
TeSLA is aiming to develop a system that is able to tell if someone other than the registered student is trying to complete an assessment or exam online, using TypeWatch in conjunction with voice and facial recognition biometrics.
The system will be rolled out in a three year pilot project, where it will be tested on over 14,000 students and teachers from 10 different universities. If the trial run is successful the system will then be available to purchase globally.