Scenario-Driven Serious Game Design for Safe and Efficient Human–Robot Collaboration in 3D Printing Construction

POSTER

Shengyue Guo, Jacob D. Henschen, Jeffery R. Roesler, and Houtan Jebelli

Three-dimensional concrete printing (3DCP) is an emerging technology that improves efficiency and safety in construction. However, effective 3DCP operations require close coordination between human operators and robotic systems, and traditional training methods are often time-consuming and potentially hazardous. Trainees need a risk-free, repeatable, and engaging environment to practice operations, receive feedback, and develop situational awareness. Serious Games, which are interactive digital simulations designed for learning rather than entertainment, offer a promising approach for training in complex technical tasks. This study presents a serious-game-based training framework that simulates 3DCP operations through scenario scripting and behavior modeling. Scenario scripting represents task sequences, operational contingencies, and safety-critical decisions, while behavior modeling captures and evaluates user responses. The system consists of three layers: an interaction layer providing real-time feedback, a logic layer managing task flow and robot responses, and an analytics layer recording performance metrics such as task completion time and obstacle-avoidance rate. Controlled experiments with six participants evaluated the influence of feedback mechanisms and game flow on training outcomes. Results indicate that structured scenarios and multimodal feedback improved task completion time by 24% and operational accuracy by 23%, demonstrating the potential of serious-game-based training for safer and more effective 3DCP skill development.

Scenario-Driven Serious Game Design for Safe and Efficient Human–Robot Collaboration in 3D Printing Construction

Scenario-Driven Serious Game Design for Safe and Efficient Human–Robot Collaboration in 3D Printing Construction