CoHManD addresses the need for effective and safe communication between humans and machines on construction sites, where misunderstandings are costly and dangerous and cognitive resources are limited due to high task demands, time pressure, and dynamic conditions. The project aims to develop a cognitive, dialogue-based foundation model that enables intuitive natural-language communication while delivering only essential, task-critical information. Through predictive context modeling, CoHManD seeks to minimize cognitive load while maintaining operational clarity and decision confidence.