As artificial intelligent (AI) agents are increasingly integrated into teams, human-agent teams need to learn how to integrate and interact with agents while staying cohesive as a group. We explored a video dataset composed of 65 teams, consisting of humans and an AI agent. The teams collaborated in problem-solving and creativity tasks for three continuous rounds. We used an automated emotion recognition system to measure the correlation between group cohesion and Group Affective Balance (GAB), the group's emotional balance over time, and the correlation between group cohesion and the number of detected smiles of the group members. The results indicate that GAB and group cohesion are positively correlated only during the last round of the study (r = 0.27, p <0.05). The implication understands the relationship between group cohesion and emotions expressed during the interaction in human-agent teams.