People prefer to receive instructions not from their work colleagues, but from cars, the new study says. The point is not only that robots are capable of increasing the efficiency of labor, but that people themselves want to obey machines.
The researchers were amazed when, after a series of managerial experiments, they found that workers were more supportive of the boss-computer. A new study by the Laboratory of Informatics and Artificial Intelligence (CSAIL) of the Massachusetts Institute of Technology has shown that in the future the functions of supervisors can be delegated to robots.
In our study, we tried to find a middle ground when an employee is satisfied with the work and demonstrates high work efficiency. We found that for this you need to give cars more autonomy. This will help people to collaborate with robots, ”says study leader Matthew Gomboley of CSAIL.
So, groups of two people and one robot worked together in one of three modes: manual (all tasks were set by people), completely autonomous (controlled by the robot) and semi-autonomous (one person gave himself tasks and the other gave orders to the robot).
A fully autonomous mode not only showed the greatest efficiency of labor, but also received a positive assessment of people, the Daily Mail newspaper writes. According to the workers, the robots “understand them better” and “increase the efficiency of the team’s work”. However, empowering robots with leadership functions does not mean that one day cyborg will seize power. Rather, it will lead to the delegation of tasks, planning and coordinating the activities of workers using an algorithm created by man.
It makes no sense to make a work plan yourself, if you can come up with tools that will do it automatically, the researcher says.
Such an algorithm can independently rewrite the work plan of the plant workers in case of a machine breakdown or the arrival of a new part. It would take much longer to call repairmen and adjust the work plan.
According to scientists, in the future, such algorithms will coordinate the work of doctors, search and rescue vehicles, and construction teams of robots and humans. And learning robots will speed up crowdsourcing.
The article is based on materials .
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