Latest Articles for Human-Computer Interaction

A new scale assesses cognitive and affective trust in AI systems.

SinLG improves chatbot conversations by integrating background knowledge for better response selection.

Examining how language models can refuse to answer for improved safety.

A deep look into how we and machines recognize objects.

This study tests AI models for human-like sound-shape associations.

A toolkit designed for better evaluation of human-bot interactions.

HICE-S offers a detailed method for evaluating image captions accurately.

A new model predicts where people look based on spoken commands.

New methods enhance emotional expression in machine speech synthesis.

Examining how response methods enhance chatbots' human-like conversations.

Ego-VPA streamlines adaptation for egocentric video analysis, improving efficiency and performance.

This study examines how preferences shape cooperation in human-machine interactions.

Learn how active prompt engineering improves tasks for language models.

A new method enhances remote drawing with robotic systems.

A new method enhances word suggestions for translators using contextual understanding.

A novel method enhances emotion recognition in speech using large language models.

New framework assesses how image models interpret graphical information through channel accuracy.

New radar method for touch detection offers cost-effective solution for large displays.

Innovative recording technology seeks to enhance AI understanding of human behavior and emotions.

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.