MHP launches phase two of the employee's emotion recognition system

The agro-industrial holding Myronivsky Hliboproduct (MHP) is expanding the employee's emotion recognition project. This was informed by Ksenia Prozhogina, HR and Communications Director at MHP, on her Facebook page.

“MHP is experiencing a historic event — an upgrade — the holding is entering a new era of technological development. At the company's headquarters, we are starting to scale up of the project to study staff satisfaction based on advanced technologies in the field of artificial intelligence — emotional computing. Within a few months, a small group of our volunteer employees took part in the implementation of the pilot part of the project for test running and setting up technologies,” Ksenia Prozhogina commented.

According to her, the first stage of the project resulted in a new experience of interaction with the latest technologies and AI.

“The team has made amazing discoveries that we will gradually share. Now we are at the next stage: an improved and more accurate adaptation of emotional calculations. The sample of research participants is expanding. In the coming days, we are waiting for delivery and installing the latest equipment and software having no analogues in Ukraine. They will help collect even more accurate data from a wider sample of study participants. Subsequently, each of us will be able to get practical benefits,” says HR and Communications Director at MHP.

In her opinion, protection of employees from stress, moral, professional and psychological burnout are the goals of world-renowned companies implementing similar research mechanisms. This is very important in the modern world saturated with impressions, emotions and stress.

“Each person involved in these studies becomes a driver and agent of change in the company, helps MHP move along the path of transformations in the dream-team everyone wants to join!”, Ksenia Prozhogina added.

Previously it was reported that MHP started testing an innovative personnel emotion recognition technology already being actively operated by Google, Twitter, Facebook, Flickr, YouTube, Ricoh, Fujifilm, Canon and Nikon.