According to a new study, computers can detect boredom in you by reading your body language. The study led by body-language expert Dr Harry Witchel, Discipline Leader in Physiology at Brighton and Sussex Medical School (BSMS), shows that by measuring a person’s movements as they use a computer, it is possible to judge their level of interest by monitoring whether they display the tiny movements that people usually constantly exhibit, known as non-instrumental movements. Also Read - Facebook for Android will soon get dark mode and coronavirus tracking feature
If someone is absorbed in what they are watching or doing, what Dr Witchel calls “rapt engagement,” there is a decrease in these involuntary movements. Dr Witchel said that the study showed that when someone is really highly engaged in what they’re doing, they suppress these tiny involuntary movements. It’s the same as when a small child, who is normally constantly on the go, stares gaping at cartoons on the television without moving a muscle. Also Read - Increasing smartphone usage may be resulting in growing horns on our skull; research suggests
The discovery could have a significant impact on the development of artificial intelligence. Future applications could include the creation of online tutoring programmes that adapt to a person’s level of interest, in order to re-engage them if they are showing signs of boredom. It could even help in the development of companion robots, which would be better able to estimate a person’s state of mind.
“Being able to ‘read’ a person’s interest in a computer program could bring real benefits to future digital learning, making it a much more two-way process,” Dr Witchel said. “Further ahead it could help us create more empathetic companion robots, which may sound very ‘sci fi’ but are becoming a realistic possibility within our lifetimes.”
In the study, 27 participants faced a range of three-minute stimuli on a computer, from fascinating games to tedious readings from EU banking regulation, while using a handheld trackball to minimise instrumental movements, such as moving the mouse. Their movements were quantified over the three minutes using video motion tracking. In two comparable reading tasks, the more engaging reading resulted in a significant reduction of non-instrumental movement.
The study appears in Frontiers in Psychology.