Two Many Cooks: Understanding Dynamic Human-Agent Team Communication and Perception Using Overcooked 2
This work provides incremental insights into human-AI relationship dynamics in collaborative tasks, relevant for researchers and practitioners in human-computer interaction.
The study investigated how communication and team perception change in human-AI collaboration compared to human-human teams under varying task loads, using the game Overcooked 2, and found that increased cognitive workload negatively impacts team performance and communication quality.
This paper describes a research study that aims to investigate changes in effective communication during human-AI collaboration with special attention to the perception of competence among team members and varying levels of task load placed on the team. We will also investigate differences between human-human teamwork and human-agent teamwork. Our project will measure differences in the communication quality, team perception and performance of a human actor playing a Commercial Off - The Shelf game (COTS) with either a human teammate or a simulated AI teammate under varying task load. We argue that the increased cognitive workload associated with increases task load will be negatively associated with team performance and have a negative impact on communication quality. In addition, we argue that positive team perceptions will have a positive impact on the communication quality between a user and teammate in both the human and AI teammate conditions. This project will offer more refined insights on Human - AI relationship dynamics in collaborative tasks by considering communication quality, team perception, and performance under increasing cognitive workload.