It is Time to Laugh: Discovering Specific Contexts for Laughter with Attention Mechanism

Kaibin Xu, Junpei Zhong, Kristiina Jokinen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Based on previous studies on the co-occurrence between the types of laughter and conversation contents, this paper uses the attention mechanism to further study the types of laughter and the specific wording in the conversation. We assume that the types of laughter also co-occurs with specific words, as well as a certain pause, in the conversation. We have established a neural network learning model based on the attention mechanism. The results of our model show that certain words in the conversation are related to specific types of laughter.

Original languageEnglish
Title of host publication2021 IEEE 4th International Conference on Information Systems and Computer Aided Education, ICISCAE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages211-215
Number of pages5
ISBN (Electronic)9781665441247
DOIs
Publication statusPublished - 11 Nov 2021
Event4th IEEE International Conference on Information Systems and Computer Aided Education, ICISCAE 2021 - Dalian, China
Duration: 24 Sept 202126 Sept 2021

Publication series

Name2021 IEEE 4th International Conference on Information Systems and Computer Aided Education, ICISCAE 2021

Conference

Conference4th IEEE International Conference on Information Systems and Computer Aided Education, ICISCAE 2021
Country/TerritoryChina
CityDalian
Period24/09/2126/09/21

Keywords

  • Emotion Modelling
  • Human-computer interaction
  • Laughter
  • Neural Networks
  • Self-Attention

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Education

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