Latest Articles for Human-Computer Interaction

A method to create quality empathetic responses through automated data generation.

Improving binaural sound reproduction for better audio experiences in various devices.

This approach enhances multimodal models without extensive retraining.

A new method improves emotion prediction in speech analysis.

DiM-Gesture creates realistic gestures synchronized with speech for digital interactions.

Study reveals how self-emotions enhance virtual agents' dialogue and decision-making.

Improving accuracy in estimating head orientations for various applications.

This study evaluates how well models adapt their communication style during conversations.

New robot navigation system understands spoken commands through emotions.

A new method improves the prediction of human movement through past data analysis.

A novel approach to continual learning that mimics human memory.

A new method enhances video understanding by using captions for better moment localization.

A foot controller enhances hands-free movement in virtual reality and robotics.

Research focuses on improving human avatar video quality for better immersive experiences.

Research improves gaze prediction accuracy through innovative EEG modeling techniques.

A new framework improves alignment of language models with user preferences.

Style-Talker improves conversations between humans and machines through emotional depth.

OpenOmni builds flexible tools for creating and testing conversation agents.

A new method aims to predict driving intentions through brain activity monitoring.

Enhancing virtual agent interactions through spatially aware gestures.

A new approach improves emotion recognition by considering context alongside facial cues.

Examining how haptic feedback improves interaction with virtual surfaces.

This paper highlights the importance of neurodiversity in tech research and design.

This study evaluates a conversational assistant for personalized help in code understanding.

Developing agents that engage in real-time dialogue for better navigation.

Examining strategies to create AI systems that prioritize safety and minimize risk.

This article discusses a generative approach to identifying emotions in written language.

Examining why Transformers struggle with arithmetic tasks and potential solutions.

This article examines the challenges language models face in recognizing their abilities.

Innovative methods enhance LLMs alignment with human preferences for better performance.

This study examines injuries resulting from robot-human interactions in industrial settings.

A new approach to enhance how robots understand and respond to users.

A new method enhances efficiency in detecting human-object interactions in images.

A study shows how dialogue systems enhance user understanding of AI models.

A study on how LLMs differ from humans in understanding bar charts.

A new benchmark improves evaluation of speech emotion recognition systems across languages and emotions.

Research focuses on improving context awareness in Vision-based Interfaces using scale, space, and time.

An overview of how AI comprehends the world and its learning processes.

Learn how RED-CT improves language model applications in resource-limited settings.

A new model improves accuracy in recognizing hand gestures for seamless interaction.