Assistance planning is a distinctive type of interactive planning, in which the planner supports a human being while trying to achieve some complex goal. An intelligent assistant capable of assistance planning decreases the work overload, which is characteristic of several activities. On the other hand, it is of great help to humans working towards the solution of some complex problems [Lindner, 1993]. An interactive assistance planner generally has a representation of the task to be executed as a partial ordered plan. This feature allows the user to choose among different paths of execution. Furthermore, it is a hierarchical planner: in this way, the decomposition of the actions enables the system to reduce the task to the actions executable by the user. This set of "human executable actions" depends on the user's competence and familiarity with the task, but it can also change in accordance with the user's affective-cognitive state. Therefore, it is interesting to have a user model in which the relation between the set of executable actions and the affective-cognitive state is realized. With this demo, we want to show a simplified prototypical tool in which the assistance to the task-oriented activity is characterized by adaptability to the user's mental state. The system consists of an application (in order to provide a task domain) and of an assistant to the user's decision-making [Amant, 1997]
Affective Adaptivity in Interactive Assistance Planning
Valitutti, Alessandro
2003-01-01
Abstract
Assistance planning is a distinctive type of interactive planning, in which the planner supports a human being while trying to achieve some complex goal. An intelligent assistant capable of assistance planning decreases the work overload, which is characteristic of several activities. On the other hand, it is of great help to humans working towards the solution of some complex problems [Lindner, 1993]. An interactive assistance planner generally has a representation of the task to be executed as a partial ordered plan. This feature allows the user to choose among different paths of execution. Furthermore, it is a hierarchical planner: in this way, the decomposition of the actions enables the system to reduce the task to the actions executable by the user. This set of "human executable actions" depends on the user's competence and familiarity with the task, but it can also change in accordance with the user's affective-cognitive state. Therefore, it is interesting to have a user model in which the relation between the set of executable actions and the affective-cognitive state is realized. With this demo, we want to show a simplified prototypical tool in which the assistance to the task-oriented activity is characterized by adaptability to the user's mental state. The system consists of an application (in order to provide a task domain) and of an assistant to the user's decision-making [Amant, 1997]I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
