Latest Articles for Human-Computer Interaction

This study reveals how virtual agents enhance health communication.

This paper discusses enhancing learning from flawed human feedback in recommendation systems.

HumanTHOR enhances human-robot teamwork through realistic virtual environments.

This article reviews methods to enhance dialogue generation in language models.

A new method enhances Text-to-Image models to align with human preferences.

Exploring how AI can improve teamwork by understanding human beliefs.

New methods improve how machines recognize emotions in human speech.

This study examines how visualization design impacts interpretation of AI model explanations.

CUPID aids users in understanding generative models through visual analysis of generated images.

A look into the challenges and improvements in AI model performance.

BBQ merges visual data and language for better object retrieval in 3D.

This study examines merging MCTS with Combinatorial Optimization for improved board game AI.

A new framework assesses language models on emotional intelligence and creativity.

A new model improves sound matching with visual actions in videos.

A look into how LLMs tackle programming by example challenges.

Research highlights methods to enhance language models using human feedback.

Researchers aim to improve machine understanding of daily activities through video analysis.

A new system helps separate speech from noise for clearer communication.

A look into how text quality relates to its probability in language models.

New methods may refine language model understanding of human preferences.

Exploring how AI improves dialogue-based understanding and response accuracy.

A new dataset generates real-time action suggestions for egocentric video viewers.

A dataset to test language models' grasp of wording differences.

Exploring annotated portfolios to improve robot designs in public spaces.

Centaurs combine human insight and AI to improve decision-making across various fields.

A clear framework to assess understanding in AI systems.

A method aims to enhance the accuracy of AI-generated responses.

This study assesses how well language models understand social situations using a game.

This article explores the impact of data poisoning on language model alignment.

An exploration of AI's role in work and human interactions.

Error Span Annotation offers a fast and reliable approach to translation quality assessment.

This study examines methods to enhance machine empathy through storytelling.

LLMs assist human raters in effectively identifying harmful online content.

A study on how language models generate persuasive rationales for argument evaluation.

This benchmark evaluates multimodal models on BPM tasks like documentation and improvement.

Examining how LLMs exhibit personality traits through new testing methods.

Combining EEG and fTCD improves communication for individuals with disabilities.

A new method for enhancing machine learning through suboptimal examples and human feedback.

Introducing iWISDM, a new benchmark for assessing machine instruction following with visuals and language.

LiveMind enhances language models for faster, real-time interactions with users.