Bibliometric Analysis of Affective Computing Researches during 1999∼2018
Bibliometric Analysis of Affective Computing Researches during 1999∼2018
复制标题
1999~2018年情感计算研究文献计量分析
DOI：
10.1080/10447318.2019.1688985
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发表时间：
2019-11-16
影响因子：
4.7
通讯作者：
Duffy, Vincent G.
中科院分区：
文献类型：
--
作者：
Guo, Fu;Li, Fengxiang;Duffy, Vincent G.
情感计算侧重于理解人类情感的技术和理论，在设计相关技术时考虑情感和认知以满足人类需求，受到世界各国研究者的广泛关注。为了深入了解情感计算研究，本文利用文献计量分析的方法来获取研究的时间和地点，由谁进行以及主流内容如何演变的信息。采用BibExcel和CiteSpace进行绩效分析和共被引网络分析，包括国家、期刊、机构、作者和研究热点的绩效分析。筛选1999年至2018年期间发表的1625篇文献进行定量分析，并在Web of Science数据库中检索定义的搜索词。本文通过文献计量学分析，使研究者能够更广泛、更深入地了解近几十年来情感计算的研究，从而有利于相关研究者对情感计算领域的总体表现有一个大致的了解，寻找未来的研究方向。
Affective computing focuses on technologies and theories that advance understanding of human affect, considering emotion and cognition in the design of related technologies to fulfill human needs, which gains substantial attention of researchers all over the world. To provide an insight into affective computing researches, this paper utilizes the method of bibliometric analysis to obtain information with respect to when and where the researches were performed by whom and how the mainstream contents evolved over the years. BibExcel and CiteSpace were employed to conduct the performance analysis and co-citation network analysis, including the analysis of the performance of countries, journals, institutes, authors and research hotspots. A total number of 1,625 documents published from 1999 similar to 2018 were screened to conduct quantitative analysis, which were retrieved in the Web of Science database with defined search terms. This paper can enable researchers to gain wider and deeper insight into affective computing researches in the last decades through bibliometric analysis, thereby facilitating relevant researchers having a general understanding of aggregate performance in the affective computing field and finding research directions in the future.