Exploring the value of using laughter reaction data to evaluate humor webtoon contents웃음 반응 데이터를 이용한 유머 웹툰 콘텐츠 평가 방법에 대한 가치 탐구

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 383
  • Download : 0
(2) Using a Collection of Laughed Scenes to Recall the Favorites; (3) Sharing Laughter with Others to Amplify Enjoyment of Webtoons. Lastly, to validate the values, I first conducted ideation workshop to gather ideas on using laughter reaction data for humor webtoon contents. The ideas were categorized into four by using open-coding method and the value to those categories were validated by also interviewing professional webtoon authors and service providers. Thus, design implications were proposed which emphasize the potentials opportunities into three value propositions: economic, functional, and symbolic. This study not only suggested the values for webtoon readers but also webtoon authors and webtoon service providers to embrace various perspectives. Moreover, novel applications and value chain of using collected laughter reaction data was proposed. Consequently, values and opportunities on utilizing laughter reactions for humor webtoon contents were thoroughly considered.; Webtoon is a popular media content in South Korea that has more dramatic fun techniques by using both IT and cartoon elements. However, the rating system for the webtoon is still unsatisfying and inefficient which have limitations on comprehending users’ unconscious behavior. Indeed, there have been many studies that investigate developing ratings and recommendation methods using physiological recognition data. However, webtoon content is rather new in the field and it has received little attention. In this paper, it explores the value of using users’ laughter reaction data to rate humor webtoon contents. By conducting user observation study, 560 clips of users’ laughter reaction data and the manual rating data were extracted simultaneously. As a result, the laughter reaction significantly correlates with the manual rating score. With the analyzed data, retrospective interview was conducted to develop the values of using laughter reaction data for humor webtoons. By that, three design implications is suggested: (1) Reflecting on Emotion Feedbacks that Better Evaluate Webtoons
Advisors
Lee, Kunpyoresearcher이건표researcher
Description
한국과학기술원 :산업디자인학과,
Publisher
한국과학기술원
Issue Date
2016
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 산업디자인학과, 2016.8,[iv, 73 p. :]

Keywords

Humor webtoon▼acontent rating▼afacial expression recognition▼asmiles and laughter▼avalue inquiry; 유머 웹툰▼a컨텐츠 평가▼a얼굴 표정 인식▼a웃음 반응▼a가치 탐구

URI
http://hdl.handle.net/10203/266218
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=849880&flag=dissertation
Appears in Collection
ID-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0