Summary: DIALOGUE-BASED MANAGEMENT OF USER FEEDBACK IN AN
AUTONOMOUS PREFERENCE LEARNING SYSTEM
Juan Manuel Lucas-Cuesta, Javier Ferreiros
Speech Technology Group, Universidad Polit´ecnica de Madrid, Spain
University of Mondragon, Spain
Juan Carlos Augusto, Michael McTear
School of Computing and Mathematics, University of Ulster at Jordanstown, Northern Ireland, UK
Keywords: Spoken dialogue systems, Autonomous preference learning, User feedback, Human-computer interaction.
Abstract: We present an enhanced method for user feedback in an autonomous learning system that includes a spoken
dialogue system to manage the interactions between the users and the system. By means of a rule-based
natural language understanding module and a state-based dialogue manager we allow the users to update the
preferences learnt by the system from the data obtained from different sensors. The design of the dialogue
together with the storage of context information (the previous dialogue turns and the current state of the
dialogue) ensures highly natural interactions, reducing the number of dialogue turns and making it possible to
use complex linguistic constructions instead of isolated commands.