Why do we need neurointerfaces: from education to hazardous industries

How encephalography and neurotechnology are connected today

Technology for conducting brain research

has existed for a long time: encephalography was invented in 1924. It is safe and widely used in science and medicine to detect pathologies in the brain.

In our case, a new application is important for a long timeexisting technology. 10-15 years ago, people made a quantum leap, and encephalography began to be used in everyday life. Neurointerfaces have appeared - devices that we use in our projects to read brain activity.

More recently, there has been a breakthrough in understandinghow to use this technology for business, development of teams and individuals. Platforms for streaming data processing are being created that, based on machine learning, interpret EEG into specific human states and reveal the relationship between states and productive activity.

Based on data received vianeurointerfaces, reports on the state of an individual or a group of people are compiled in relation to a specific activity or context. For example, neurointerfaces are used as a tool to help meditate better. Or to solve the problem of identifying meta-competencies (soft skills) in candidates.

However, there are also obstacles to widespreaduse of encephalography. The main one is the low level of awareness of companies and people about the specific benefits that knowledge about the brain and neurotechnology can bring for the regular activities of people and companies. Chipping fears and the dangerous impact of 5G are also holding back the technology's practical application in business.

Often people do not want anyone to"Looked" into their heads. Clients-innovators will help to cope with the situation, who are ready to bring to the fore the specific problems and tasks of the business, and use the results obtained to solve them.

How neurotechnology helps to find out if a person is burned out

The main focus of the current work is building"Bridge" between scientific research developments and specific tasks. For this, the market is being investigated, companies and situations are being searched where neurotechnologies can be applied.

After each neurotechnology implementation projectthere are several variations to continue cooperation. Based on the first results, a decision is made on how to further improve and influence the measurable metrics. For each situation, a separate manual is developed, and the participation of the provider is reduced to providing the customer with technical capacities for processing information.

Similar work is underway in the area of ​​governance.In the interaction of teams that work on one or several products, the effect is manifested when the result depends not only on one employee, but on many people. And it should be borne in mind that all people have different labor productivity at different times of the day. They solve problems in different ways and react to new ones.

With the help of neurotechnology, it is determined how muchthe team member understood the task well. You can find a moment of misunderstanding, even if the person says that he understands everything. As a result, the manager gets the opportunity to plan the work of the team, based on the state of the employee - whether he “burned out” on the previous task and is ready to complete a new one in the same time. This ensures an environmentally friendly approach to people management and at the same time sets a high pace in the execution of tasks.

Additionally, training tasks are solvedemployees. For example, minimizing risks when a person passes a probationary period and starts serious tasks. For some companies, this is critical. So, at a metallurgical enterprise, an intern should not be allowed to perform hazardous work if he has not actually received all the necessary knowledge or misunderstood the instructions and is not ready to work. Because his mistake can lead to a halt in the production process and human casualties.

Learning using neurotechnologyminimizes situations of accidental passing of testing for obtaining a permit to work. If a new employee comes to the company, then in the course of training, the coefficient of assimilation of information is measured and recommendations are given on what to do with this person next: to continue training or not to hire at all.

Similar neuroproducts also address a large layer oftasks of personal planning, personal effectiveness, monitoring your condition or training it. For example, for the purpose of public speaking, you can train the optimal state that will allow you to perform effectively. The same is true for the optimal conditions of athletes in competition, salespeople in sales departments.

Surely a person can come to this stateby trial and error. But in a special training session, he sees the desired state on the computer screen and approaches the result faster. This process can be compared to shooting at a target with your eyes closed and open. The probability of hitting the target blindly is obviously low, and you need to shoot multiple times for at least one bullet to hit the target.

How neurotechnology is being implemented

The NeuroAngel platform consists of severalcomponent. The core of the platform is an AI-based system that can interpret EEG in various psychoemotional states, find connections between these states and production activities. And also knows how to learn to identify new states (for example, the state of a sales champion or the best product owner).

The core of the system is surrounded by business applications forspecific practical tasks and an integration bus that provides interaction with different models of neural interfaces and various business systems: CRM systems (Amo, Bitrix24), bug trackers (Jira, Github), LMS platforms (Moodle, Ispring). The neurointerfaces themselves are used by those that are already on the market.

To learn how to determine the state of a person(for example, the level of his fatigue), it is necessary to present to artificial intelligence samples of encephalograms of people about whom we know in advance that they are tired or, conversely, full of energy. The more such samples we show to artificial intelligence, the better it will learn to distinguish them from each other.

This way you can teach the platform a variety of tasks.She can, by loading the brain, find out whether the student is cheating on the test or decides for himself. Or it can determine how many hours a driver can still drive before losing his guard and allowing an emergency.

In each such case, you will need to measurea large number of people, whether they are schoolchildren who are cheating or not cheating or drivers of varying degrees of fatigue. To date, a large base of various states has been accumulated and on specific projects the adaptation of basic models to the specifics of the activities of a particular company is carried out.

The system can simultaneously process data,related to different types of tasks. She can help some companies manage projects, while others at the same time - monitor the cheerfulness of dispatchers in critical areas of production.

Each of these applications requires differentways of presenting data. For some customers, the system will draw solid tables, for others - beautiful running graphs, for others it will send recommendations by e-mail or display them in a mobile application.

Case study: a neuroscience study on brain responses to watching educational videos of varying duration

One of the customers of such neuroresearch -Netology decided to find out how people interact with their educational video content. Neurodiagnostics made it possible to understand how the human brain reacts to learning, regardless of what mood it is in now or how subjectively it relates to the taught content or the speaker. For the experiment, we chose the most painful of the hypotheses: does the duration of the video affect the effectiveness of training. Opinions on the optimal length of video content differed significantly from the sources available on the market.

Vertical - a source of information about the optimal video duration, horizontal - time intervals from 0 to 30 minutes

The study included monitoring the resource state of listeners in the context of four states:

  • stress (level of negative emotional background);
  • enthusiasm (degree of interest in the task being performed);
  • concentration (the level of consumption of neural resources to complete the task);
  • cognitive load (load on short-term memory).

The key goal of the study is to identify the optimaltime parameters of educational video content. In total, three groups of seven people participated in the experiment, watching two video lessons with different durations: short (5 minutes), medium (10 minutes), or long (20 minutes).

The collected data for each student and the video they watched were combined into general graphs.

Further, for each of them, the median value was displayed, which showed the following results:

  • Enthusiasm. On average, the shorter ones turned out to be more exciting.video. Medium-length videos have more high-engagement moments. Participants who watch lengthy videos are, on average, the least engaged, the least likely to experience moments of high engagement, and less likely to demonstrate minimal engagement.

  • Stress. The highest average stress level is inparticipants who watched short videos. Long videos are characterized by both high stress (mobilization) and low stress (relaxation) situations, while neutral situations are less common. Those who watched medium-length videos had the least stress.

  • Concentration. The most concentrated were the participantswatched average videos, and fairly evenly throughout the video lessons. With short videos, the participants do not have time to get involved in the work, so their concentration is minimal in comparison with other groups. Longer videos show the greatest variation - there are many areas with high and low concentration.

  • Cognitive load. Memory load with short footageexcessive - participants try to “swallow everything at once”. Optimal memory usage is noted when watching a video of medium length. There is a low and medium level with jumps - moments of memorizing certain important facts.

Short videos from an emotional perspectiveentrainment, getting stress levels and stress on memory have the maximum effect. But people watch them in their entirety, not really comprehending. It is rational to use short videos as introductory topics in order to motivate for further learning. Or use it for promotional materials about training, where the emotional moment is more important than the educational one.

The best option for learning simple professional skills is a medium-length video. People manage to concentrate, they are quite enthusiastic and strain their memory.

Long videos have an advantage whenlearning needs maximum concentration. Research has shown that it manifested itself in people precisely while watching 20-minute videos. It turns out that complex topics that cannot be explained simply or broken down into sections are best explained in the format of long videos. And so that the most difficult moment falls on the time of the student's peak concentration.

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