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This is an archive article published on February 25, 2016

Even computers can gauge if you’re bored

Computer programmes that can monitor body language can sniff out your boredom.

boredom, body language, computer programme, movement, non-instrumental movement, involuntary movements, motion-tracking technology, artificial intelligence, AI, robots, companion robots, Sci-Fi, science fiction, future, futuristic technology Computer programmes that can ‘read’ body language — and detect states of mind like boredom — point to a Sci-Fi-like future full of empathetic robots. (Source: Thinkstock Images)

Not just your employer or spouse, even computers programmed to monitor people’s body language can tell whether they are bored or not, says a study.

Body-language expert Dr Harry Witchel, from University of Sussex, found that by measuring a person’s movements as they use a computer, it is possible to judge their level of interest. This can be done by monitoring whether they display the tiny movements that people usually constantly exhibit — known as non-instrumental movements.

According to Dr Witchel, if someone is absorbed in what they are watching or doing, there is a decrease in these involuntary movements. “Our 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,” Dr Witchel explained.

    

The study — published in the journal Frontiers in Psychology — could have a significant impact on the development of artificial intelligence (AI). “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,” the author added.

In the study, 27 participants were faced with three-minute computer sessions that ranged from fascinating games to tedious readings from the European Union (EU) banking regulations. At the same time, video motion-tracking technology was used to measure their movements.

For two comparable reading tasks, the one that was most engaging resulted in a 42 per cent reduction in non-instrumental movement.

“The findings can also help us create more empathetic companion robots — which may sound very ‘Sci-Fi’, but are becoming a realistic possibility within our lifetimes,” Dr Witchel noted.

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