Latest Articles for Human-Computer Interaction

New methods promise better AI model performance through simplified reinforcement learning.

Research reveals how gestures can enhance safety for pedestrians and self-driving cars.

An overview of ethical processes in the Cat Royale research project.

Examining synchronization, communication, and sensory cues in human-robot collaboration.

AffectToolbox simplifies emotion analysis for researchers and users alike.

New methods enhance how agents learn to cooperate and communicate effectively.

Analyzing the effects of reasoning methods on large language models' performance.

An adaptive agent improves teamwork in Codenames using multiple language models.

Combining RGB and Depth data improves action recognition in robotic systems.

A system that enhances AI-generated navigation instructions by detecting errors and offering corrections.

A study comparing GPT-4 and crowdsourcing in data labeling tasks.

New benchmark assesses LLMs' skills in interacting with multiple agents.

Research reveals broader ways to deliver directions using spatial knowledge.

This survey reviews recent developments in multi-turn dialogue systems leveraging large language models.

Study reveals challenges and progress in chatbot memory during lengthy dialogues.

New dataset enhances computer agents' ability to perform various tasks.

Explore how LLMs influence decision-making processes and their implications.

Agent AI transforms how machines learn and operate in diverse environments.

This overview highlights key developments in human attention modelling and its impact on AI.

This study examines how AI affects productivity and trust among software engineers.

Examining how machines recognize and represent human beliefs to improve social reasoning.

LLMs enhance accuracy and error correction in speech recognition systems.

Research shows age and openness impact understanding AI explanations.

This study assesses how AI models summarize unpublished short stories and their challenges.

Study validates trust questionnaires for improved AI interactions.

A new method to enhance language models despite noisy human feedback.

Study examines effective communication strategies for robots seeking assistance in urban areas.

Examining how language models struggle with understanding complex relationships.

A new method aims to enhance large language models' safety and usefulness.

NatSGD enhances robot understanding through natural speech and gestures interactions.

Innovative methods to enhance accurate hand modeling in 3D space.

A new method enhances AU detection using unlabeled data.

New method detects SIIDs by assessing input/output channel availability.

Investigating how GPT-4 assesses beauty in images.

New methods enhance linking text descriptions to sound events.

A new method enhances how robots predict human behavior and improve safety.

Exploring methods to boost reasoning abilities in language models through reinforcement learning.

Exploring the dynamics of human-AI teamwork in optimization tasks.

A new approach to small, efficient, natural-sounding speech generation.

A study reveals AR's potential to improve pedestrian interactions with autonomous vehicles.