Researchers Use VR Games to Detect ADHD Symptoms

Researchers used eye tracking, machine learning, and virtual reality (VR) games to show that changes in eye movements can diagnose ADHD, leading to a more precise diagnosis of attention deficit hyperactivity disorder (ADHD). According to a press release, this method may also serve as the basis for an ADHD treatment plan and, with minor modifications, may be used to detect other diseases including autism. The common attention issue ADHD affects about 6% of kids globally. However, interviews, questionnaires, and other forms of subjective observation still play a significant role in the diagnosis of ADHD. [caption id="" align="aligncenter" width="960"] Image credit- Technology Networks[/caption] Researchers from Aalto University, Abo Akademi University, and the University of Helsinki have now worked together to develop the virtual reality game EPELI, which by simulating real-world situations, may be used to assess children's ADHD symptoms. Researchers observed children's eye movements while they played a virtual reality game and utilised machine learning to identify differences in children with ADHD. The new study included 36 kids in a control group and 37 kids with ADHD. The youngsters played EPELI and a game called "Fire the Target," in which they had to look for and shoot objects around them. [caption id="" align="aligncenter" width="1024"] Image credit- Getty Images[/caption] The EPELI video game was developed under the direction of Peili Vision Oy employee and current Aalto alumnus Topi Siro. The game provides a variety of exercises that simulate regular chores like eating a banana and cleaning your teeth. Even in the midst of external distractions, such as an on-screen TV, the player must carry out the tasks. Every move the youngster makes in the game is recorded, including how frequently they click the controls and how quickly they finish their tasks.