{"id":385,"date":"2026-05-26T18:27:28","date_gmt":"2026-05-26T22:27:28","guid":{"rendered":"https:\/\/dev.www.purdue.edu\/engineering\/I2SAFE-Lab\/?page_id=385"},"modified":"2026-09-17T18:52:19","modified_gmt":"2026-09-17T22:52:19","slug":"human-digital-twin-human-robot-teaming","status":"publish","type":"page","link":"https:\/\/www.purdue.edu\/engineering\/I2SAFE-Lab\/human-digital-twin-human-robot-teaming\/","title":{"rendered":"Human Digital Twin \/ Human-Robot Teaming"},"content":{"rendered":"\n
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Project Overview<\/strong><\/h3>\n\n\n\n
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Rationale<\/strong><\/h3>\n\n\n\n

The construction industry is entering an era in which autonomous technologies, such as drones, robots, and AI-enabled systems, are becoming integral members of the workforce. Despite rapid advances in autonomous capabilities, the success of these technologies ultimately depends on the workers who interact and collaborate with them.<\/p>\n\n\n\n

Current research has largely focused on improving the technical performance of autonomous systems. Comparatively less attention has been devoted to understanding the human side of human-autonomy teaming. Construction workers continuously experience changes in attention, stress, trust, workload, and situational awareness. These factors can influence how workers perceive autonomous systems and affect overall team performance.<\/p>\n\n\n\n

A major challenge is that today’s autonomous systems have limited ability to recognize and respond to workers’ cognitive and physiological states. As a result, communication breakdowns, inappropriate trust calibration, and reduced team effectiveness may occur.<\/p>\n\n\n\n

To address this gap, this research develops Human Digital Twin technologies that continuously model workers’ cognitive, physiological, and behavioral conditions in real time. By enabling autonomous systems to understand individual workers and adapt their communication and behaviors accordingly, this research seeks to establish a human-centered paradigm for future construction. The ultimate goal is to foster safer, more efficient, trustworthy, and inclusive human-autonomy teaming environments.<\/p>\n\n\n\n

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Impact<\/strong><\/h3>\n\n\n\n