Latest Articles for Human-Computer Interaction

Study shows touch improves memory for virtual objects.

Current models struggle with spatial reasoning, relying more on text than images.

A new method to improve AI alignment with human values using corrupted feedback.

A study on how machines adapt to phonological changes in speech.

A comprehensive study on language models’ performance across 10 Indic languages.

A new system improves real-time hand gesture recognition for various applications.

GIEBench assesses LLMs' empathetic responses based on diverse group identities.

Research shows models struggle with step dependencies in cooking recipes.

A look at how AI models interpret human choices and the need for improvement.

Investigating fine-grained feedback for text-to-image models and its practical implications.

A new method to define rewards for reinforcement learning agents using language models.

Study assesses how well MLLMs interpret visual data and their performance compared to humans.

A new method improves reconstruction of hand-face interactions for AR and VR.

Can self-play enhance language models' performance in cooperative settings?

GeoHOI enhances human-object interaction detection using geometric features for improved accuracy.

A new approach to classify human and machine-generated texts more effectively.

Introducing a method to create realistic 3D scenes for virtual reality and design.

New model improves accuracy in detecting emotions during spoken exchanges.

New training methods enhance language models' ability to create detailed long texts.

CORE4D offers unique insights into how people rearrange household items together.

This study examines how explanations impact user perceptions of AI capabilities.

EDPNet enhances motor imagery decoding for brain-computer interfaces.

A new benchmark evaluates how computers handle ambiguous questions.

A new approach to improve weak-to-strong generalization in language models.

Discover how AI is transforming image annotation for better accuracy and speed.

This study reveals how the brain combines visual and language information.

Improving how machines answer visual questions through structured reasoning.

This article examines how wording affects language model performance.

This study examines how visual and textual data affect model performance.

Introducing GRASP, a benchmark for assessing spatial reasoning in language models.

CRAB enhances testing for language models in real-world environments.

LEXI simplifies research on human-agent interactions with Large Language Models.

Enhancing speech synthesis for more natural and expressive voice generation.

Two systems improve user guidance and verification in AI-generated data analysis.

A new framework, BiosERC, improves emotion recognition by considering speaker traits.

The GCF model improves facial expression recognition accuracy through innovative deep learning techniques.

A novel approach enhances prediction of future actions using visual and semantic insights.

A novel method enhances the realism of human movements using human feedback.

Self-calibration streamlines PIN entry and enhances security without complicated setups.

A new method enhances AI's empathetic responses using quality data.