Affective Computing: A Review
By Jianhua Tao, Tien-Ping Tan. Affective Computing and Intelligent Interaction, 2005
536 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Information Systems
View Paper: https://www.semanticscholar.org/paper/c2c5206f6a539b02f5d5a19bdb3a90584f7e6ba4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
In Experimental and Cognitive Psychology
- S. D’Mello
- Henry Nunoo-Mensah
- Rafael A. Calvo
- Pei-Luen Patrick Rau
- Chen Wenyu
- Francisca Adoma Acheampong
- A. Graesser
In Information Systems
- Henry Nunoo-Mensah
- Pei-Luen Patrick Rau
- Tianyi Yuan
- Bingcheng Wang
- Chen Wenyu
- Francisca Adoma Acheampong
Citations in the corpus
- Text‐based emotion detection: Advances, challenges, and opportunities (2020, methodology): “In the bilingual view, texts written in the English language were all translated into the Chinese language using the word by word statistical machine-translation method70 and all views fed into a semi-supervised co-training algorithm for prediction into five (5) categories, namely, happiness, sadnes”
- Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale (2022, background): “Besides, from users ’ perspective, AI usually has more biological and social attributes than general digital technology (Minsky 2007; Poria et al. 2017; Tao and Tan 2005).”
- Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010, background): “A review on affective computing was published in the First International Conference on Affective Computing and Intelligent Interaction [9].”
- MoodScope: building a mood sensor from smartphone usage patterns (2013, unknown): “The Circumplex model has also been well validated and widely used in other studies [5-9].”