A scoping review on effective measurements of emotional responses in teamwork contexts

Effective collaboration within teams relies significantly on emotion regulation, a process vital for managing and navigating emotional responses. Various methods have been employed to measure emotional responses in team contexts, including self-report questionnaires, behavioral coding, and physiological measures. This review paper aims to summarize studies conducted in teamwork contexts that measured team members' emotional responses, with a particular focus on the methods used. The findings from these studies can lead to identification of emotion regulation strategies and can lead to effective interventions to improve team performance in future. The core question guiding this review is: What are effective measures in capturing individuals' emotional responses in team dynamics? Using a scoping review, the study aims to answer three research questions (RQs): 1: What was the distribution over time of the studies that examined team members' emotional responses and/or regulation of emotions in team dynamic? 2: What type(s) of data were collected, and what are the theories used in these studies? 3: What are the advantages and challenges of each type of measurement on emotional responses in team dynamics? The synthesis of the findings suggests that multimodal data, combining various measures such as physiological data, observations, and self-reports, offer a promising approach to capturing emotions in teamwork contexts. Furthermore, combining multimodal data can benefit capturing individual and inter-personal regulation, including self-, co-, and social emotion regulation in teamwork. This paper highlights the importance of integrating multiple measurement methods and provides insights into the advantages and challenges associated with each approach.