Automated emotion recognition in the workplace: How proposed technologies reveal potential futures of work

KL Boyd, N Andalibi - Proceedings of the ACM on human-computer …, 2023 - dl.acm.org
Emotion recognition technologies, while critiqued for bias, validity, and privacy invasion,
continue to be developed and applied in a range of domains including in high-stakes …

Patent applications as glimpses into the sociotechnical imaginary: Ethical speculation on the imagined futures of emotion AI for mental health monitoring and detection

N Karizat, AH Vinson, S Parthasarathy… - Proceedings of the ACM …, 2024 - dl.acm.org
Patent applications provide insight into how inventors imagine and legitimize uses of their
imagined technologies; as part of this imagining they envision social worlds and produce …

From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications

E Gkintoni, A Aroutzidis, H Antonopoulou… - Brain Sciences, 2025 - mdpi.com
Background/Objectives: This systematic review presents how neural and emotional
networks are integrated into EEG-based emotion recognition, bridging the gap between …

Robots as mental health coaches: A study of emotional responses to technology-assisted stress management tasks using physiological signals

K Klęczek, A Rice, M Alimardani - Sensors, 2024 - mdpi.com
The current study investigated the effectiveness of social robots in facilitating stress
management interventions for university students by evaluating their physiological …

Cooperative learning for personalized context-aware pain assessment from wearable data

MT Uddin, G Zamzmi, S Canavan - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
Despite the promising performance of automated pain assessment methods, current
methods suffer from performance generalization due to the lack of relatively large, diverse …

An estimation of online video user engagement from features of time-and value-continuous, dimensional emotions

L Stappen, A Baird, M Lienhart, A Bätz… - Frontiers in Computer …, 2022 - frontiersin.org
Portraying emotion and trustworthiness is known to increase the appeal of video content.
However, the causal relationship between these signals and online user engagement is not …

" I think you need help! Here's why": Understanding the Effect of Explanations on Automatic Facial Expression Recognition

S Nahulanthran, M Vered, L Tian, D Kulić - arxiv preprint arxiv …, 2024 - arxiv.org
Facial expression recognition (FER) has emerged as a promising approach to the
development of emotion-aware intelligent systems. The performance of FER in multiple …

User Interface Evaluation Through Implicit-Association Tests

A Cockburn, D Hills, Z Chen, C Gutwin - Proceedings of the ACM on …, 2024 - dl.acm.org
The implicit-association test (IAT) is a method for measuring subconscious associations
between concepts in memory. It is widely used in social psychology research for assessing …

Affective computing as a tool for understanding emotion dynamics from physiology: A predictive modeling study of arousal and valence

TA D'Amelio, NM Bruno, LA Bugnon… - … and Demos (ACIIW), 2023 - ieeexplore.ieee.org
Affective computing has traditionally relied on predictive models that use summary
annotations to understand emotions, an approach that often fails to capture the continuous …

Rethinking Emotion Annotations in the Era of Large Language Models

M Niu, Y El-Tawil, A Romana, EM Provost - arxiv preprint arxiv …, 2024 - arxiv.org
Modern affective computing systems rely heavily on datasets with human-annotated emotion
labels, for training and evaluation. However, human annotations are expensive to obtain …