Analyzing the Visual Road Scene for Driver Stress Estimation

Engineering, Transportation Engineering, Information Science, Computer Science, Artificial Intelligence,
driver stress estimation   road scene analysis   driver assistance technologies   machine learning   visual analysis  

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

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Bioengineering,
algorithmic transparency   user experience   physiological responses   affective computing   task adaptation  

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

Information Science, Computer Science, Artificial Intelligence, Medicine, Clinical Psychology,
Theory of Mind   robot gaze   object preference   social robotics   cognitive mechanisms  

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...

TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG for Major Depressive Disorder Detection

Information Science, Computer Science, Artificial Intelligence, Medicine, Psychiatry, Neurology,
Major Depressive Disorder Detection   Time-Frequency EEG   Agent Graph Learning   Graph Convolution   Brain Functional Connectivity  

A Novel Method for Depression Detection Based on Time-Frequency EEG: TFAGL Academic Background Major Depressive Disorder (MDD) is a common mental illness worldwide, characterized by symptoms such as sadness, guilt, and low self-esteem, accompanied by loss of interest, diminished enthusiasm for life, and disruptions in sleep or appetite. According t...

LineConvGraphs: Line Conversation Graphs for Effective Emotion Recognition Using Graph Neural Networks

Information Science, Computer Science, Artificial Intelligence,
emotion recognition   graph neural networks   conversation analysis   affective computing   emotion shift   natural language processing   contextual embedding  

A New Approach to Emotion Recognition in Conversations Based on Graph Neural Networks Research Background Emotion recognition (ER) is an important component of human-computer interaction (HCI), aiming to identify human emotional states by analyzing multimodal data such as speech, text, and video. This technology has broad application prospects in f...

CSE-GResNet: A Simple and Highly Efficient Network for Facial Expression Recognition

Information Science, Computer Science, Artificial Intelligence,
Facial Expression Recognition   Efficient Network   Gabor Convolution   Channel Shift   Channel Enhancement  

An Efficient Expression Recognition Network Based on Gabor Convolution: CSE-GResNet Academic Background Facial Expression Recognition (FER) is an important research direction in the field of computer vision, with wide applications in social robots, healthcare, social psychology, customer service, and psychoanalysis. Facial expressions are natural a...