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Title: A survey on empathetic dialogue systems
Authors: Ma, Yukun
Nguyen, Khanh Linh
Xing, Frank Z.
Cambria, Erik
Keywords: Engineering::Computer science and engineering
Issue Date: 2020
Source: Ma, Y., Nguyen, K. L., Xing, F. Z. & Cambria, E. (2020). A survey on empathetic dialogue systems. Information Fusion, 64, 50-70.
Project: A18A2b0046
Journal: Information Fusion
Abstract: Dialogue systems have achieved growing success in many areas thanks to the rapid advances of machine learning techniques. In the quest for generating more human-like conversations, one of the major challenges is to learn to generate responses in a more empathetic manner. In this review article, we focus on the literature of empathetic dialogue systems, whose goal is to enhance the perception and expression of emotional states, personal preference, and knowledge. Accordingly, we identify three key features that underpin such systems: emotion-awareness, personality-awareness, and knowledge-accessibility. The main goal of this review is to serve as a comprehensive guide to research and development on empathetic dialogue systems and to suggest future directions in this domain.
ISSN: 1566-2535
DOI: 10.1016/j.inffus.2020.06.011
Schools: School of Computer Science and Engineering 
Rights: © 2020 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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