Guest Editorial: Ethics in Affective Computing

被引:0
|
作者
Gratch, Jonathan [1 ]
Greene, Gretchen [2 ]
Picard, Rosalind [3 ]
Urquhart, Lachlan [4 ]
Valstar, Michel [5 ]
机构
[1] Univ Southern Calif, Los Angeles, CA 90007 USA
[2] Hastings Ctr, Garrison, NY 10524 USA
[3] MIT CSAIL, Cambridge, MA 02139 USA
[4] Univ Edinburgh, Edinburgh EH8 9YL, Scotland
[5] Univ Nottingham, Nottingham NG7 2RD, England
关键词
Special issues and sections; Machine learning; Emotion recognition; Sentiment analysis; Artificial intelligence; Simulation; Modeling; Human factors; Ethics; Privacy; Affective computing;
D O I
10.1109/TAFFC.2023.3322918
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Stunning advances in machine learning are heralding a new era in sensing, interpreting, simulating and stimulating human emotion. In the human sciences, research is increasingly highlighting the explanatory power of emotions, feelings, and other affective processes to predict how we think and behave. This is beginning to translate into an explosion of applications that can improve human wellbeing including methods to reduce stress and improve emotion regulation skills, techniques to support healthier social media use, pain monitoring in neonates, and decision-support tools that recognize emotional bias.
引用
收藏
页码:1 / 3
页数:3
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