DR 3.2: First prototype of user model construction algorithms featuring input from sentiment and interaction mining

This document describes the rst prototype of the
PAL user modeling algorithm based on sentiment and interaction developed
during the second year of the project in work package 3.
The overall objective of workpackage 3 is to adapt the behavior of the
PAL system to each of its users. This adaptation is necessary to ensure
1) engagement of the user and 2) increased eectiveness in personal goal
achievement. People tend to adapt their interaction style in a conversation
based on observations such as the perceived sentiment of the conversation
partner. For this purpose it is worthwhile to include sentiment in the in-
teraction process, such that the robot or its avatar can adapt its behavior
accordingly. Sentiment extracted from the child's diaries can assist in esti-
mating the current well-being and emotional state of the child. Moreover,
sentiment can be used as feedback mechanism to ne tune the user model.