Latest Articles for Human-Computer Interaction

A new dataset enhances machine learning for answering visual questions accurately.

A new method enhances emotion recognition in speech by analyzing time and frequency.

A new method improves human movement simulation when interacting with objects.

Examining the impact of reward model consistency on language model performance.

Exploring GPT-4's role in games with imperfect information.

A dataset captures human interactions to improve AI assistants in real-life tasks.

Research on improving human pose estimation through diverse datasets and model scaling.

A new method combines language models with reinforcement learning for AI training.

New methods improve efficiency and accuracy in voice recognition systems.

A new method to predict emotions during conversations, enhancing human-machine interaction.

New model GazeCLIP improves gaze estimation by combining visual data and language insights.

A new approach enhances the integration of speech with language models.

Combining expert feedback with algorithms for better software architecture choices.

SpeechAgents enhances AI communication with speech and signals for more realistic interactions.

Study investigates how computer delays affect response times and frustrations in participants.

A new method enhances learning by using human feedback through self-play.

Examining the nature and capabilities of language models in generating meaningful text.

A novel approach to enhancing dialogue agents through self-conversation techniques.

Research explores how AI can identify when people intend to speak using accelerometer data.

SCoBots improve reinforcement learning by enhancing object relationship understanding.

Muffin enhances emotional support chat systems by reducing unhelpful responses.

Examining the trade-offs in human-AI interactions and their societal impacts.

This work studies how second opinions influence AI use in decision-making.

Research reveals new methods for recognizing emotions using EEG data and fuzzy logic.

Semantic Placement enhances AI's ability to place objects based on context.

How the way search results are shown affects user engagement and satisfaction.

GDMP enhances robot movements and human assistance by improving interaction efficiency.

Enhancing LMMs to reason and ask questions for better accuracy.

Different ways of showing examples can shape problem-solving skills.

A new method using foot pressure to assess body posture and joint angles.

WARM aims to improve alignment of large language models with human values.

This paper discusses how AI can learn from human language interactions.

A new approach improves language model outputs based on human feedback.

This study proposes new methods for evaluating answers in machine question answering.

A new approach enhances confidence estimation in ASR systems for better accuracy.

A new method generates 3D data on human-object interactions for AI.

Research explores how computers engage in image-based conversations.

A new framework enhances unsupervised action recognition using skeleton data.

Study examines how robotic coaches communicate mental well-being support.

A new approach enhances human experiences in gaming through AI collaboration.