Cited By
View all- Barral OKosunen IJacucci G(2017)No Need to Laugh Out LoudACM Transactions on Computer-Human Interaction10.1145/315773024:6(1-29)Online publication date: 19-Dec-2017
What makes readers laugh?: value of sensing laughter for humor webtoon
Authors: 
Soyoung Kwon, Kun-Pyo LeeAuthors Info & Claims
Soyoung Kwon, Kun-Pyo LeeAuthors Info & ClaimsPages 867 - 874
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.
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- What makes readers laugh?: value of sensing laughter for humor webtoon
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Published In
September 2016
664 pages
ISBN:9781450344135
DOI:10.1145/2957265
- General Chairs:
- Fabio Paternò,
- Kaisa Väänänen,
- Program Chairs:
- Karen Church,
- Jonna Häkkilä,
- Antonio Krüger,
- Marcos Serrano
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Published: 06 September 2016
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MobileHCI '16
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MobileHCI '16: 18th International Conference on Human-Computer Interaction with Mobile Devices and Services
September 6 - 9, 2016
Florence, Italy
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Cited By
View all- Barral OKosunen IJacucci G(2017)No Need to Laugh Out LoudACM Transactions on Computer-Human Interaction10.1145/315773024:6(1-29)Online publication date: 19-Dec-2017
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