Effects of Algorithmic Transparency on User Experience and Physiological Responses

The Impact of Algorithmic Transparency on User Experience and Physiological Responses Academic Background With the rapid development of Affective Computing technology, Affect-aware Task Adaptation systems have gradually become a research hotspot. These systems recognize users’ psychological states through various measurements (e.g., physiological s...

Phonetically-Anchored Domain Adaptation for Cross-Lingual Speech Emotion Recognition

Phonetic-Anchored Domain Adaptation in Cross-Lingual Speech Emotion Recognition Academic Background Speech Emotion Recognition (SER) has broad application prospects in intelligent agents, social robots, voice assistants, and automated call center systems. With the development of globalization, the demand for cross-lingual SER is increasing. However...

Facial 3D Regional Structural Motion Representation Using Lightweight Point Cloud Networks for Micro-Expression Recognition

3D Regional Structural Motion Representation Using Lightweight Point Cloud Networks for Micro-Expression Recognition Academic Background Micro-expressions (MEs) are brief and subtle facial expressions in human emotional expression, typically lasting between 1⁄25 and 1⁄5 of a second. Due to their spontaneity, rapidity, and difficulty to control, mic...

Latent Circuit Inference from Heterogeneous Neural Responses during Cognitive Tasks

Inferring Latent Neural Circuits from Heterogeneous Neural Responses During Cognitive Tasks Academic Background In cognitive tasks, higher cortical areas of the brain (such as the prefrontal cortex, PFC) are responsible for integrating a variety of sensory, cognitive, and motor signals. However, the responses of individual neurons often exhibit com...

Dynamical Constraints on Neural Population Activity

Temporal Dynamics Constraints on Neural Population Activity: Computational Mechanisms of Neural Activity Revealed by Brain-Computer Interfaces Academic Background How neural activity in the brain evolves over time is a central issue in understanding sensory, motor, and cognitive functions. For a long time, network models have posited that the brain...