2025/03/12 by Diana Romero, Romero, Diana, Fatima M. Anwar +3 · 2 citations
Computer Science · #Augmented Reality Applications #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Interactive and Immersive Displays #Virtual Reality Applications and Impacts
paper · pdf · doi:10.48550/arxiv.2503.09874
openalex publication_date 2025/03/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Studying collaborative behavior in Mixed Reality (MR) often requires extensive, challenging data collection. This paper introduces MoCoMR, a novel simulator designed to address this by generating synthetic yet realistic collaborative MR data. MoCoMR captures individual behavioral modalities such as speaking, gaze, and locomotion during a collaborative image-sorting task with 48 participants to identify distinct behavioral patterns. MoCoMR simulates individual actions and interactions within a virtual space, enabling researchers to investigate the impact of individual behaviors on group dynamics and task performance. This simulator facilitates the development of more effective and human-centered MR applications by providing insights into user behavior and interaction patterns. The simulator's API allows for flexible configuration and data analysis, enabling researchers to explore various scenarios and generate valuable insights for optimizing collaborative MR experiences.