Researchers from Telefónica Research in Spain have developed a machine-learning model that can recognize when a user is bored and then push content to those users. In their testing, the researchers found “participants were significantly more likely to open and engage with suggested content on their mobile phones when our algorithms predicted them to be bored.” Detecting boredom may be a successful strategy to deal with people’s scarce attention, Telefónica Research says.
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from American Press Institute http://ift.tt/1NchOT9
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