Emotions in Human-AI Collaboration

This exploratory paper addresses the role of emotions in the management of collaborative networks (CNs) amid the rise of hybrid teams consisting of humans and AI agents. Building on previous research that emphasizes the critical role of emotions in fostering trust and preventing conflicts within CNs, we propose expanding these emotional frameworks to accommodate hybrid collaborative networks. The paper reviews the significance of human-AI collaboration, highlighting the complementary strengths of both and identifying three research streams: affective/sentient AI agents, human emotions modelling, and collective hybrid network emotions. Emphasizing the underexplored area of collective emotions, we suggest leveraging these insights to enhance the management and sustainability of hybrid networks. A framework for emotions estimation in CNs is described. Our aim is to identify challenges and guide future research in the integration of emotional intelligence within human-AI collaborative environments.