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...

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...

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

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Bioengineering,
micro-expression recognition   3D facial structure   point cloud network   graph convolutional network   affective computing  

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...

Physiological Data for Affective Computing: The Affect-HRI Dataset

Information Science, Computer Science, Artificial Intelligence, Medicine, Environmental and Public Health, Neurology, Clinical Psychology,
affective computing   human-robot interaction   physiological data   service robots   emotion recognition   socio-technical   interdisciplinary research  

Application of Physiological Data in Human-Robot Interaction with Anthropomorphic Service Robots: Affect-HRI Dataset Background and Significance In interactions between humans and humans, as well as humans and robots, the interacting entity can influence human emotional states. Unlike humans, robots inherently cannot exhibit empathy and thus cannot...