Latest Articles for Human-Computer Interaction

A study on the reliability of LLM self-explanations in natural language tasks.

New TRG method enhances head pose estimation accuracy by integrating facial features.

New method improves converting silent speech to understandable audio.

This article examines how user assistance can improve large language models' performance in generating SQL queries.

Exploring how AI can evolve into trusted thought partners for humans.

This research provides insights into AI choices in competitive and cooperative settings.

A new framework to enhance AI's ability to provide emotional support.

Efforts to reduce confusion in AI learning from human feedback.

Research minimizes human labeling in reinforcement learning using concept bottleneck models.

This new model enhances transparency in AI decision-making using human concepts.

A new approach enhances human pose estimation accuracy in dim lighting.

A new method to improve how motion and language relate by focusing on timing.

New methods improve emotion recognition and response in technology.

Tracking pupil movements using event cameras enhances understanding of eye dynamics.

A new method improves AVQA performance when audio or visual inputs are missing.

Understanding techniques to bypass safety in language models.

This study examines how well LLMs understand and generate music.

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.