Understanding User's Behavior for Developing Webtoon Rating System Based on Laugh Reaction Sensing through Smartphone

In this work-in-progress study, we aim to understand the users' behavior for developing the webtoon(web cartoon) rating system using with users' laugh reactions when they read webtoons by smartphones. First, we conducted an online survey in order to understand general reading environment of a webtoon. Second, we executed a pilot experiment in lab based environment to observe which reactions come from readers and which sensors can use for detecting laugh reactions. Lastly, we exploited an observation experiment to sense participants' laugh reactions and evaluate with manual rating scores of each webtoon episode. For the preliminary finding, we analyzed the laugh reactions from randomly selected 20 sample data out of 1300 episodes, and it exhibits significantly correlated with the manual score.