'Just right' job design: A new model using the Goldilocks paradigm. This proposal will generate new knowledge about designing jobs with the right amount of human movement. Prolonged sitting is now a serious work hazard that contributes to cardiovascular risk and obesity. The high incidence of these conditions in many work systems, such as rail, also presents a critical safety hazard due to threat of sudden incapacity while driving. Expected project outcomes are a ‘Just Right’ Job Design model sh ....'Just right' job design: A new model using the Goldilocks paradigm. This proposal will generate new knowledge about designing jobs with the right amount of human movement. Prolonged sitting is now a serious work hazard that contributes to cardiovascular risk and obesity. The high incidence of these conditions in many work systems, such as rail, also presents a critical safety hazard due to threat of sudden incapacity while driving. Expected project outcomes are a ‘Just Right’ Job Design model showing how tasks can be designed to enhance safety and health while maintaining productivity, and in the unlikeliest of workplaces. This will provide significant benefits for the many working Australians whose safety and health are compromised by exposure to prolonged sitting in seemingly intractable environments.Read moreRead less
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less