Factors Affecting the Adoption of a Robotic Cyber-Physical System in Construction Progress Monitoring

Construction progress monitoring is crucial for successful project completion. Traditional methods involve labor-intensive site visits, which are inefficient and potentially hazardous. A novel conceptual framework for a robotic cyber-physical system (CPS) was designed to automate reality capture and visualization for remote progress monitoring in construction. The proposed CPS integrates a quadruped robot, building information modeling (BIM), and 360° reality capture technology to autonomously collect and visualize up-to-date site information. Using the Technology Acceptance Model (TAM) as the theoretical framework, semi-structured interviews were conducted with 17 construction professionals, representing diverse roles in project management, engineering, and field operations. Through systematic thematic analysis, 39 critical adoption factors were identified. This research contributes to both theory and practice by identifying factors affecting the industry acceptance of a robotic CPS framework for construction progress monitoring, providing guidance for construction management teams, and establishing a foundational understanding of industry adoption factors for human-centered CPS development in construction.