Autores
Castro Munguía Emmanuel Quetzalcóatl
Calvo Castro Francisco Hiram
Kolesnikova Olga
Título Analysis of Emotions in Speech Acts for Chatbots: An Overview and a Model Proposal
Tipo Congreso
Sub-tipo Memoria
Descripción 2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023
Resumen A chatbot is a machine with conversational capabilities that tries to resemble a person. In the 90s the A.L.I.C.E. chatbot was created, showing significant advances over its predecessors. Since then, different progress has been made until, thanks to the advancement of technology, the development of current improved models has been achieved. However, now special attention is being paid to chatbots having affective recognition capabilities to enrich the user ex-perience, which is an understudied area. This paper overviews state-of-the-art works on recognition of speaker's emotions and intentions and proposes to design a speech acts-based model of a chatbot that can interpret human emotions in text and give a coherent response in content and the expressed feelings. A set of techniques will be included in the design to recognize both the user's emotions and her intentions when expressing herself. © 2023 IEEE.
Observaciones DOI 10.1109/SSCI52147.2023.10371792
Lugar Ciudad de México
País Mexico
No. de páginas 1467-1471
Vol. / Cap.
Inicio 2023-12-05
Fin 2023-12-08
ISBN/ISSN 9781665430654