A Review of Research on Emotions and Health in Teamwork Using Artificial Intelligence to Improve Communication and Reduce Conflict

Introduction. The article analyzes the potential of emotional artificial intelligence (AI) in studying the emotional states of team members and the impact of psychological climate on their health and performance.

The relevance of the study is driven by the growing gap between the technological capabilities of multimodal emotion recognition and their practical integration into team communication management, particularly in hybrid and remote work formats.

Objective. To substantiate a conceptual model for applying affective comput­ing to monitor team emotional climate, detect pre-conflict states early, and develop adaptive communication strategies. The article reviews meta-analytical findings on the effectiveness of hybrid Al-human systems.

Results. The study establishes that, with proper separation of roles between AI and humans, integrating affective technologies into team interaction platforms can enhance conflict resolution and reduce burnout. However, meta-analyses also show that hybrid systems generally underperform compared to the best individ­ual agent in decision-making tasks, including conflict management, necessitating deliberate interaction de­sign.

Conclusion. The study proposes a three-tier model of technological maturity and formalizes criteria for assessing organizational readiness to adopt affective technologies. Key limitations are identified, including ethical concerns of emotional monitoring, cultural variability in emotional expression, risks of algorithmic bias, and Russian legal requirements regarding biometric personal data. Recommendations are provided for the phased integration of emotional AI systems into team management, accounting for regulatory and orga­nizational barriers.

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