What makes readers laugh? Value of sensing laughter for humor webtoon

Soyoung Kwon, Kun Pyo Lee

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

1 Citation (Scopus)

Abstract

Webtoon is a popular content in South Korea that has more fun techniques by using both IT and cartoon elements. However, the rating system for webtoon is still unsatisfying which have limitations on comprehending users' unconscious behavior. In this paper, we explore the value of using users' laughter reaction data for humor webtoons. Users' laughter reaction data and the rating scores were extracted simultaneously in user observation. As a result, the laughter reaction significantly correlates with the manual rating score. Also, we elicited each participants' flow of laughter which enabled to understand their laughter behavior and scenes that were attractive. With those data, ideation was conducted to generate ideas on how laughter reaction data can be used in new ways for humor webtoons. Thus, we proposed the potential values that suggest viable solutions of capturing laughter reactions for humor webtoons.

Original languageEnglish
Title of host publicationProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016
PublisherAssociation for Computing Machinery, Inc
Pages867-874
Number of pages8
ISBN (Electronic)9781450344135
DOIs
Publication statusPublished - 6 Sep 2016
Externally publishedYes
Event18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016 - Florence, Italy
Duration: 6 Sep 20169 Sep 2016

Publication series

NameProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016

Conference

Conference18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016
CountryItaly
CityFlorence
Period6/09/169/09/16

Keywords

  • Content rating
  • Reaction sensing
  • Smile and laughter
  • User study
  • Web cartoon

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Software

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