Enhancing Human-Robot Teaming in Construction through the Integration of Virtual Reality-Based Training in Human-Robot Collaboration

Human-robot teaming (HRT) has emerged as a pivotal research area in the construction industry, focusing on collaborative efforts between humans and robots for enhanced productivity and safety. This study delves into the dynamics of HRT within the immersive context of virtual reality (VR) learning environments. The research integrates established theories, including the Transtheoretical Model, the Cognitive-Affective Theory of Learning with Media (CATLM), and the Technology Acceptance Model (TAM), to construct a robust theoretical foundation. Key theoretical insights highlight the interplay of cognitive and emotional factors in influencing learning experiences and collaboration intentions. The study emphasizes the need for ergonomically compliant VR tools, addressing technical challenges to optimize user experiences. Findings underscore the significance of sustained exposure to VR features and the critical role of realism and user control in shaping the level of presence in VR environments. Practical implications emphasize the importance of usability in VR systems, encouraging educators and designers to prioritize user-friendly interfaces. The study suggests that multiple sessions are essential for VR features to substantially influence collaboration intentions. Realism and control over virtual elements are identified as key factors directly impacting the immersive experience. This research contributes to the theoretical depth of HRT in the construction industry, providing practical guidelines for developing and implementing VR systems. The insights garnered have implications for educators, designers, and practitioners, fostering a comprehensive understanding of the intricate interplay between human cognition, emotion, and technology in collaborative construction settings.