Affective Computing Research Progress and Its Implications for Education Technology: A Bibliometric Analysis Based on Web of Science via VOSviewer
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Reference21 articles.
1. Alsaid, A., Lee, J. D., Noejovich, S. I., & Chehade, A. (2023). The Effect of Vehicle Automation Styles on Drivers’ Emotional State [Article; Early Access]. Ieee Transactions on Intelligent Transportation Systems, 11. https://doi.org/10.1109/tits.2023.3239880.
2. ArulDass, S. D., & Jayagopal, P. (2022). Identifying Complex Emotions in Alexithymia Affected Adolescents Using Machine Learning Techniques [Article]. Diagnostics, 12(12), 15, Article 3188. https://doi.org/10.3390/diagnostics12123188.
3. Assabumrungrat, R., Sangnark, S., Charoenpattarawut, T., Polpakdee, W., Sudhawiyangkul, T., Boonchieng, E., & Wilaiprasitporn, T. (2022). Ubiquitous Affective Computing: A Review [Review]. Ieee Sensors Journal, 22(3), 1867-1881. https://doi.org/10.1109/jsen.2021.3138269.
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