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DC Field | Value | Language |
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dc.contributor.author | Manh, Tung Ho | - |
dc.contributor.author | Peter, Mantello | - |
dc.contributor.author | Hong, Kong T. Nguyen | |
dc.contributor.author | Quan, Hoang Vuong | |
dc.date.accessioned | 2022-01-17T02:27:21Z | - |
dc.date.available | 2022-01-17T02:27:21Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/4026 | - |
dc.description | 282 (2021) | - |
dc.description.abstract | Affective computing, also known as emotional artificial intelligence (AI), is an emerging and cutting-edge field of AI research. It draws on computer science, engineering, psychology, physiology, and neuroscience to computationally model, track, and classify human emotions and affective states. While the US once dominated the field in terms of research and citation from 1995–2015, China is now emerging as a global contender in research output, claiming second place for the most cited country from 2016–2020. This article maps the rhizomatic growth and development of scientific publications devoted to emotion-sensing AI technologies. It employs a bibliometric analysis that identifies major national contributors and international alliances in the field over the past 25 years. | vi |
dc.language.iso | en | vi |
dc.publisher | Springer Nature | vi |
dc.subject | Artificial Intelligence | - |
dc.subject | Affective computing | |
dc.title | Affective computing scholarship and the rise of China: a view from 25 years of bibliometric data | vi |
dc.type | Bài báo khoa học | vi |
eperson.identifier.doi | https://doi.org/10.1057/s41599-021-00959-8 | - |
Appears in Collections | ||
Bài báo khoa học |
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