Conditional entropy retrieval based model in patient-carer scenarios and attitude change: potential uses with affective assistant chatbots
Περίληψη
Assistant Robots can be an efficient and low-cost solution to Patient-Care. One important aspect of Assistant Bots is succesful as well as Socially Intelligent Communication with the Patient. A new Conditional Entropy Retrieval Based model is proposed and also an Attitude Modeling based on Popitz Powers. The Conditional Entropy Model and the Attitude Model are combined in order to record Attitude Changes in Dialogue Interactions between Patients and Doctors.
keywords: Retrieval-Based Model, Conditional Entropy, Assistant Chat-bot, Attitude Change, Popitz Powers
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