Toward explainable affective computing: A review

K Cortiñas-Lorenzo, G Lacey - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Affective computing has an unprecedented potential to change the way humans interact with
technology. While the last decades have witnessed vast progress in the field, multimodal …

Context-guided bert for targeted aspect-based sentiment analysis

Z Wu, DC Ong - Proceedings of the AAAI conference on artificial …, 2021 - ojs.aaai.org
Aspect-based sentiment analysis (ABSA) and Targeted ASBA (TABSA) allow finer-grained
inferences about sentiment to be drawn from the same text, depending on context. For …

Emotion intensity and its control for emotional voice conversion

K Zhou, B Sisman, R Rana… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Emotional voice conversion (EVC) seeks to convert the emotional state of an utterance while
preserving the linguistic content and speaker identity. In EVC, emotions are usually treated …

Amplification in the evaluation of multiple emotional expressions over time

A Goldenberg, J Schöne, Z Huang, TD Sweeny… - Nature human …, 2022 - nature.com
Social interactions are dynamic and unfold over time. To make sense of social interactions,
people must aggregate sequential information into summary, global evaluations. But how do …

Approaches to studying emotion using physiological responses to spoken narratives: a scoping review

MA Savard, R Merlo, A Samithamby, A Paas… - …, 2024 - Wiley Online Library
Narratives are effective tools for evoking emotions, and physiological measurements provide
a means of objectively assessing emotional reactions–making them a potentially powerful …

Vector based sentiment and emotion analysis from text: A survey

HA Uymaz, SK Metin - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
As a primary means of communication, texts are used to implicitly or explicitly reflect
emotions. Emotion or sentiment detection from text has emerged as an important and …

Affect2mm: Affective analysis of multimedia content using emotion causality

T Mittal, P Mathur, A Bera… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
We present Affect2MM, a learning method for time-series emotion prediction for multimedia
content. Our goal is to automatically capture the varying emotions depicted by characters in …

An ethical framework for guiding the development of affectively-aware artificial intelligence

DC Ong - 2021 9th International Conference on Affective …, 2021 - ieeexplore.ieee.org
The recent rapid advancements in artificial intelligence research and deployment have
sparked more discussion about the potential ramifications of socially-and emotionally …

[HTML][HTML] Language and emotion: Introduction to the special issue

KA Lindquist - Affective science, 2021 - Springer
What is the relationship between language and emotion? The work that fills the pages of this
special issue draws from interdisciplinary domains to weigh in on the relationship between …

Evaluating subjective cognitive appraisals of emotions from large language models

H Zhan, DC Ong, JJ Li - arXiv preprint arXiv:2310.14389, 2023 - arxiv.org
The emotions we experience involve complex processes; besides physiological aspects,
research in psychology has studied cognitive appraisals where people assess their …