AI Against Burnout: IDLab Assistants Present Research on Using Artificial Intelligence to Identify Professional Exhaustion
On October 28 in Moscow, at a seminar hosted by the HSE Laboratory of Sports Research, young researchers from IDLab, Mikhail Usanin and Alexey Smirnov, presented a report titled "AI-based Approach to Burnout Identification and Its Implication for Performance in eSports." The research, co-authored with Marina Zavertiaeva, Petr Parshakov, Sofia Paklina, and Anastasia Kibardina, reveals an innovative approach to identifying burnout using artificial intelligence (AI) within the esports industry.
Burnout has become one of the key issues in the workplace, especially in high-stress and demanding fields such as esports. Psychological studies have long shown that emotional exhaustion negatively impacts productivity and overall well-being. However, traditional methods of diagnosing burnout cannot provide an objective picture, as they rely on subjective surveys. In contrast, the application of AI methods allows for the analysis of large volumes of data and the identification of hidden patterns.
The study utilized a specialized RuBERT model for natural language processing in Russian, which enables the recognition of burnout signs in texts. By applying this approach to Russian-language messages and performance data from professional CS:GO players, researchers were able to identify a connection between emotional state and sports performance. It was found that an increased likelihood of burnout reduces gaming performance, while more experienced players are less susceptible to burnout.
This approach to assessing burnout is a scalable and objective tool that can be applied to analyze the state of players in esports and other stressful professions. The data obtained not only allows for the diagnosis but also for real-time monitoring of emotional exhaustion levels. This could be an important step toward improving mental health in the workplace and effectively managing performance under constant pressure.
Colleagues from the HSE Laboratory of Sports Research provided significant assistance by offering valuable comments and recommendations that helped researchers enhance their presentation of results and identify directions for future research.
Alexey Smirnov, Research Intern at the International Laboratory of Intangible-driven Economy, National Research University Higher School of Economics - Perm
The workshop was very productive. In my opinion, the process of knowledge sharing between research departments plays a very important role. When people immersed in different research backgrounds come together in a discussion, new ideas are born and light is shed on completely unobvious details.