AI "knows" how to improve concentration in working places: Aussie researchers

Source: Xinhua| 2020-06-04 16:17:11|Editor: huaxia

SYDNEY, June 4 (Xinhua) -- Artificial Intelligence (AI) proved not just useful for human in finding cancer cures or driving their cars, but also improving their concentration level at work, Australian scientists have claimed.

The computer scientists from Australia's Royal Melbourne Institute of Technology (RMIT) teamed with design and engineering firm Arup in completing the study and released their results on Thursday.

The study leader, Associate Professor Flora Salim from RMIT said they were using AI system equipped with multiple sensors and smart devices to uncover the mystery of human behavior pattern in a way no one had done before.

"Despite the myriad applications harnessing this data for smart decision-making systems, this is the first research we're aware of that has used pervasive sensing passively to measure workers perceived concentration levels while they are at work," Salim said.

"We hope it can make a real contribution to work practices that reflect what people need to perform their best."

Their AI-driven system was used on 31 staff in two working offices over four weeks, collecting various data on noise levels, indoor temperature and air quality, humidity, air pressure, and even electromagnetic fields and the insights provided by AI were interesting.

It proved the wide acknowledged facts that workers' concentration level in the morning were mainly influenced by their sleep the night before.

On the other hand, it also revealed although different people concentrated better in different zones, however, a temperature lower than 22.5c or high CO2 levels due to high office densities will find all officer workers harder to maintain their concentration.

The study lead author, Dr Mohammad Saiedur Rahaman from RMIT said AI provided useful data for decision makers as well as workers on how to improve office productivity.

"We see this type of system having the potential to eventually be used to enable informed decision-making regarding workplace design and layout, or even to suggest to people when to take breaks, what zone might suit them best and so on," Rahaman said. Enditem

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