The document discusses a proposed system called Smart Cabs that uses sensors and pattern recognition to monitor a machine operator's state of mind. The system would analyze factors like tiredness, alertness, and happiness. It would then make minor adjustments to the operating environment or provide encouragement to improve productivity and worker well-being. A demonstration would use sensors to estimate an operator's emotions in real-time and simulate corrective actions. The data could also be used long-term to optimize job design and practices. The approach focuses on quick iterations to develop a cross-platform prototype that connects operator state of mind data to machine performance data.