Creating an Adaptive Voice and Language Model Capable of Emotional Response and Self-Profiling to Emulate User Personality
Resumen
This work aims to show a cheap alternative of implementing an adaptive voice and language model, which has the opportunity not only react to the interlocutors’ emotions but also adapt the personality of the bot to the personality of the user. Through moderated Framework and a feedback loop process the author explores the possibility of a system model. The conversational agent of this framework uses Natural Language Process (NLP) technique for the psychological profiling in order to be self-directed and self-aware. Moreover, this system can be kept current with successive activity sequences with gradual enhancement in the identification of the user personality, which determines the manner in which the model interacts with the user. The author also presents a plan on how to design such a model supported by theory, method, and feasibility and possible uses
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Derechos de autor 2025 Hernan Isaac Ocana Flores
Esta obra está bajo licencia internacional Creative Commons Reconocimiento 4.0.
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