OBJECTIVE Planning has been hypothesized to operate as a mediator linking intentions to health behaviors. To explore the temporal variation of these constructs and their interrelationships, a long-term study of intentions, planning, and physical activity was conducted. METHOD A sample of 328 individuals in orthopedic rehabilitation provided data at five measurement occasions over 3 years afte...

OBJECTIVE Levels of physical exercise adherence are not predicted well by behavioral intentions. Therefore, action planning and recovery self-efficacy were specified as proximal predictors to bridge the gap between intentions and adherence. The prediction model was examined in 3 studies with participants who were enrolled in cardiac rehabilitation (Study 1, N = 353; Study 2, N = 114) or orthope...

Situated dialogue is usually tightly integrated with behavior planning, physical action and perception. This paper presents an algorithmic framework, Continual Collaborative Planning (CCP), for modeling this kind of integrated behavior and shows how CCP agents naturally blend physical and communicative actions. For experiments with conversational CCP agents we have developed MAPSIM, a software ...

Motion planning has evolved from coping with simply geometric problems to physics-based ones that incorporate the kinodynamic and the physical constraints imposed by the robot and the physical world. Therefore, the criteria for evaluating physics-based motion planners goes beyond the computational complexity (e.g. in terms of planning time) usually used as a measure for evaluating geometrical p...

Motion planning research has been successful in developing planning algorithms which are effective for solving problems with complicated geometric and kinematic constraints. Various applications in robotics and in other fields demand additional physical realism. Some progress has been made for non-holonomic systems. However systems with significant drift, underactuation and discrete system chan...