2030 is not many years away, it is as if we are on the threshold of the future science fiction world; So if you want to know that The future of work How will something be in the world of tomorrow, stay with Tikrato.

Industries correctly analyze the prospect of human-machine relations; Because we have to make sure that this interaction To be effective, dynamic and useful for humans. Reliability of machine mannequins and human trust in the behavior of silicon intelligence is vital for this interaction. That said, human levels of trust can be difficult to achieve due to a pessimistic mindset; The challenge that the researchers of the Department of Industrial and Systems Engineering and V.M. Barnes 64 at the University of Texas are looking to solve it.

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The future of work is here!

Dr. Ranjana Mehta, associate professor and director of the laboratory Neurorgonomics, has said that the financial and spiritual funding of his laboratory and the project of building trust between humans and machines is supported by the National Science Foundation (NFS), a series of projects on human-robot interaction in the field of occupational safety. Mrs. Mehta said:

“Until today, our focus was to understand how fatigue and stress states of the operator affect the way humans interact with the dummies, so the subject of ‘trust’ became an important area of ​​study. Because we found that when humans get bored, they ignore instructions and rely on automation more than they should.”

Mehta’s latest National Science Foundation (NFS)-funded work, recently published in the journal Human Factors: The Journal of the Human Factors and Ergonomics Society has been published, on understanding the brain and behavioral connections that, Why and how an operator is affected by the reliable behavior of human and robotic agentsis focused.

“Trust” is an important principle in the future of human and machine work

Mehta also has another research in the magazine Applied Ergonomics It is widely known that such human and machine factors are scrutinized.

Mehta Laboratory by Functional near-infrared spectroscopy (fNIRS) recorded brain activity performance as operators interacted with machines in a manufacturing task. In this regard, they found that the defective robot performance reduces the operator’s trust in the robots. And finally, this lack of trust was manifested by increasing the activation of the frontal, motor and visual cortex areas, which indicated an increase in their accuracy and situational self-awareness.

The interesting thing is that the same untrustworthy behavior was also related to these areas of the brain that worked independently but together, while when the robots behaved reliably, the neural connections between them were well established. Mehta said that this process of isolating brain regions was greater at higher levels of robot autonomy, indicating that the neurological symptoms of “the trustIt is influenced by the dynamics of grouping of human-autonomous machines. Mehta added:

“A more interesting phenomenon we found was that when we compared the brain activation data in the trusting conditions (which were manipulated using the normal and faulty behavior of the machines) compared to higher levels of operator confidence (which were collected through surveys) with the robots. We compared, the interesting result was that the neural signatures were different. This emphasizes the importance of understanding and measuring brain-behavior trust-building relationships in human-machine collaboration; Because understanding the phenomenon the trust It alone does not indicate how operators’ reassuring behaviors are formed.”

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Are humans going to be eliminated from the future of work?

Dr. Sara Hopko, the lead author of the research and a recent PhD student in industrial engineering, said that neural responses and understanding of the phenomenon of trust provide both behavioral symptoms of trust and distrust, as well as distinct information about how trust is established, violated, and modified by various robot behaviors. are transferred He also emphasizes the strengths of multimodal trust measures that include neural activity tracking, eye tracking, behavioral analysis, etc., that this approach can reveal new perspectives that mental responses alone cannot provide.

The next step is to extend the research to different work contexts, such as emergency response, and understand how trust in multi-human robot teams affects teamwork and safety. Mehta said the long-term goal of the study is not to replace humans with autonomous robots, but to support them by developing trust-based, conscious self-driving agents.

This is a very important task and we are motivated to ensure that the design, evaluation and integration of machines and humans in the workplace supports and empowers human capabilities. Dr. Ranjana Mehta

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Your opinion about The future of work and human-machine interaction What is? Do you think that humans will be removed from the future of the work process? Share your thoughts in the comments section duplicate share

Source:ScienceDaily