Latest Articles for Human-Computer Interaction

Exploring how sEMG can transform interaction with technology using muscle signals.

Research shows how NMC can improve machine learning adaptability.

A closer look at how abstention improves machine learning accuracy and reliability.

How robots’ appearances influence our trust in them.

Using language models to assess the accuracy of image descriptions.

ALOE helps AI models learn about new data categories efficiently.

A look into shape recognition challenges for machines and the way forward.

Fish-Speech enhances voice technology for a more natural communication experience.

Brain-computer interfaces promise new ways to interact with machines using thoughts.

An overview of training vision-language models and their significance.

Examining the challenges of creating robots with human-like intelligence.

Smart robots are changing how we play, learn, and receive assistance.

RESOLVE improves how machines understand relationships and objects.

Study explores how language models convey emotions and meanings implicitly.

Robots can better assist us by understanding our arm movements with new technology.

Learn how FPO improves AI response quality and efficiency.

A new method called AVA enhances alignment in language models for safer outputs.

Examining how AI models handle text and images together.

Combining RL with LLM guidance improves learning through careful calibration.

Being nice helps AI serve humans more effectively.

How AI explanations impact our learning and critical thinking.

Temperature settings play a key role in AI's reflection of human thoughts.

Learn how video summaries improve human supervision of robots.

Research uses user-agents to assess task-oriented dialogue systems.

Discover how artificial agents learn to help each other and show empathy.

Using radar to recognize hand gestures improves interaction with devices.

An overview of Visual Question Answering and its challenges.

A new method enhances computer understanding of screen elements.

TRIDENT enhances machine recognition of new object combinations, addressing key challenges in AI learning.

Combining human insights with AI efficiency in qualitative research.

Creating an AI model for natural conversations in Taiwanese Mandarin.

This guide explains key challenges and solutions in facial expression recognition.

Study reveals chatbots often seen as less empathetic than humans.

Examining how well language models make choices amidst distractions.

Explore the importance of reliable and resilient AI systems in our daily lives.

Learn about Large Language Models and their impact on language processing.

Researchers tackle bias in language models using a new approach.

A new framework for assessing language models amid task ambiguities.

Exploring how AI engages in profound discussions about consciousness and spirituality.

Researchers are shaping soft-body feet for better human-robot interactions.