Latest Articles for Human-Computer Interaction

Exploring the idea of math as a way to express human thoughts.

Examining how robots can truly understand language through real-world experiences.

GRACE helps robots act socially while performing tasks in homes and workplaces.

Researchers develop CHOIR to improve hand-object interaction accuracy.

New approaches in HAR improve activity recognition using smartphone data.

EMOVA enhances human-computer interaction through emotional expression.

A method enhancing language model alignment with human preferences.

A new method improves language models' understanding of human preferences.

A new method enhances recovery from pushes while maintaining robot posture.

A new method enhances language model training using self-generated feedback.

EAGLE model and dataset enhance understanding of egocentric videos.

A new method improves commonsense reasoning in AI, especially in low-data situations.

AI is evolving to engage in more natural conversations.

Examining how honesty impacts the reliability of language models.

A new method improves gaze target detection with less labeled data.

A new framework improves teamwork between humans and robots by understanding human actions.

A survey on tasks designed for evaluating interactive agents and their capabilities.

This study reveals effective methods for recognizing hand gestures through ultrasound imaging.

This method enhances the reliability of language model confidence scores.

A new method helps robots learn tasks using online human videos, reducing training needs.

Improving relevance of search queries in dialogue systems through targeted strategies.

This method helps machines plan actions based on instructional videos effectively.

A new method improves human pose estimation by enabling continuous learning of keypoints.

Exploring the impact of on-body menus for enhanced VR experiences.

Discover how Matryoshka embeddings improve speaker recognition efficiency and flexibility.

Exploring the link between personality traits and code generation effectiveness using LLMs.

Exploring how kindness can shape the future of artificial intelligence.

Exploring how to instill kindness in smart machines for better interactions.

Enhancing how robots explain themselves leads to better human-robot relationships.

A study reveals how facial features influence emotion guessing accuracy.

Discover how machines can recognize human feelings through data integration.

Research examines how VLMs interpret and understand charts compared to human abilities.

A new framework enhances emotional expression in TTS systems.

Exploring how human digital twins can improve trust in human-AI collaboration.

DARD improves dialogue systems using specialized agents for better task handling.

An innovative approach to AI learning through self-driven skill development.

Research shows new methods to better align LLMs with human feedback.

AI is evolving to better assist and empower users in everyday tasks.

Vocal Sandbox allows seamless collaboration between humans and robots through interactive learning.

A new system models emotional intensity in animated characters for enhanced realism.