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oai:ebiltegia.mondragon.edu:20.500.11984/63872024-05-24T11:21:44Zcom_20.500.11984_1143col_20.500.11984_1148

00925njm 22002777a 4500 dc Aztiria, Asier author 2010 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. 9789896740214 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=74672 https://hdl.handle.net/20.500.11984/6387 Spoken dialogue systems Autonomous preference learning User feedback human-computer interaction Dialogue based management of user feedback in an autonomous preference learning system