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A Model of Emotion for Empathic Communication

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Published:06 March 2017Publication History

ABSTRACT

Most people believe that robots have no emotions, and nor do they need them. However, we strongly believe that having emotions is essential for robots to understand and sympathize with the feelings of people, thereby allowing them to be accepted into the human society. In this paper, we propose a model of emotion based on some neurological and psychological findings concerning empathic communication between humans and robots. Then, we examine a method for generating affect for given visual stimuli using a recurrent neural network as a first step.

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    • Published in

      cover image ACM Conferences
      HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
      March 2017
      462 pages
      ISBN:9781450348850
      DOI:10.1145/3029798

      Copyright © 2017 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 March 2017

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      Acceptance Rates

      HRI '17 Paper Acceptance Rate51of211submissions,24%Overall Acceptance Rate192of519submissions,37%

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