Assessment of Team Performance Based on Teamwork Characteristics in Collaborative Teams

Abstract

Reliable assessment of team performance based on teamwork characteristics is crucial for optimizing maritime teamwork and ensuring maritime safety. However, the relationship between teamwork characteristics and team performance remains unclear. This study explored teamwork characteristics that contribute to good team performance, and constructed a team performance assessment model based on teamwork characteristics. A total of 84 qualified participants were recruited and divided into 21 teams to perform underwater collaborative tasks on a maritime simulator. Eye movement, communication, scale, and team performance data were collected and divided into input features and outcome features. Based on input features, important teamwork characteristics were obtained, showing that teams with good team performance presented adequate situation awareness for judgment and decision, excellent task management, appropriate decision making, and efficient communication. In addition, machine learning algorithms were applied to train classification models, and the support vector machine (SVM) exhibited the best results, with an accuracy of 83.3%. The team performance assessment model offers an effective auxiliary tool for maritime training to evaluate training effects as well as create more efficient training programs, and is beneficial for optimizing teamwork skills, improving team performance, and ensuring maritime safety.