SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition

Application of Multiresolution Signal Wavelet Network in Speech Emotion Recognition: SigWavNet Academic Background Speech Emotion Recognition (SER) plays a crucial role in human-computer interaction and psychological assessment. It identifies the speaker’s emotional state by analyzing speech signals, with wide applications in emergency call centers...

Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generation

Research on Empathetic Response Generation in AI Dialogue Systems Academic Background With the rapid development of artificial intelligence technology, open-domain dialogue systems have gradually become a research hotspot. These systems aim to engage in natural and fluent conversations with users, providing reasonable responses. However, despite si...

Text-Guided Reconstruction Network for Sentiment Analysis with Uncertain Missing Modalities

Application of Text-Guided Reconstruction Network in Multimodal Sentiment Analysis Academic Background Multimodal Sentiment Analysis (MSA) is a research field that aims to integrate sentiment expressions from text, visual, and acoustic signals. With the abundance of user-generated online content, MSA demonstrates significant potential for improving...

Analyzing the Visual Road Scene for Driver Stress Estimation

Research on Driver Stress Estimation Based on Visual Road Scenes Academic Background Driver stress is a significant factor contributing to traffic accidents, injuries, and fatalities. Studies show that 94% of traffic accidents are related to drivers, with inattention, internal and external distractions, and improper speed control all closely linked...

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...

Theory of Mind Abilities Predict Robot’s Gaze Effects on Object Preference

Academic Background In human social interactions, gaze is one of the most important ways to convey information. Research has shown that human gaze can influence others’ attention, cognition, and even preferences. For example, when a person looks at an object, the observer tends to believe that the object is attractive to the gazer, which in turn in...