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http://dx.doi.org/10.14695/KJSOS.2020.23.4.61

Analytical Research on Knowledge Production, Knowledge Structure, and Networking in Affective Computing  

Oh, Jee-Sun (KAIST 기술경영학부)
Back, Dan-Bee (KAIST 한국4차산업혁명정책센터)
Lee, Duk-Hee (KAIST 기술경영학부)
Publication Information
Science of Emotion and Sensibility / v.23, no.4, 2020 , pp. 61-72 More about this Journal
Abstract
Social problems, such as economic instability, aging population, heightened competition, and changes in personal values, might become more serious in the near future. Affective computing has received much attention in the scholarly community as a possible solution to potential social problems. Accordingly, we examined domestic and global knowledge structure, major keywords, current research status, international research collaboration, and network for each major keyword, focusing on keywords related to affective computing. We searched for articles on a specialized academic database (Scopus) using major keywords and carried out bibliometric and network analyses. We found that China and the United States (U.S.) have been active in producing knowledge on affective computing, whereas South Korea lags well behind at around 10%. Major keywords surrounding affective computing include computing, processing, affective analysis, research, user modeling categorizing recognitions, and psychological analysis. In terms of international research collaboration structure, China and the U.S. form the largest cluster, whereas other countries like the United Kingdom, Germany, Switzerland, Spain, and Canada have been strong collaborators as well. Contrastingly, South Korea's research has not been diverse and has not been very successful in producing research outcomes. For the advancement of affective computing research in South Korea, the present study suggests strengthening international collaboration with major countries, including the U.S. and China and diversifying its research partners.
Keywords
Affective Computing; Scientometrics; Knowledge Production; Knowledge Structure; Network Analysis;
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Times Cited By KSCI : 4  (Citation Analysis)
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