Latest Articles for Human-Computer Interaction

This study enhances SER through improved preprocessing and efficient attention models.

A new framework enhances motion generation for animations and virtual experiences.

Exploring how preference learning improves language model alignment with human expectations.

This study presents a model that integrates context for better facial expression recognition.

MVTN improves hand gesture recognition through innovative multiscale techniques.

A novel method combines meaning and sound for improved emotion detection in speech.

Research shows EEG data can help artificial neural networks resist adversarial attacks.

A new method enhances agents' ability to learn from mistakes in virtual environments.

WebQuest aids testing models that answer questions from multiple web pages.

APEX framework improves emotion recognition by integrating personality traits.

Research examines how humans compare images using deep learning models.

ParaEVITS improves emotional expression in TTS through natural language guidance.

New methods improve human-robot conversation by enhancing speech clarity.

This research aims to create CAPTCHAs that confuse machines but are clear to humans.

AI explanations can aid learning but lack lasting impact.

Soft preference labels enhance the alignment of models with human choices.

A framework to improve AI's performance in visual tasks by mimicking human judgments.

A self-calibrating model improves prosthetic control and user adaptability.

Adaptive skin sensitivity enhances safety in human-robot interactions.

Study reveals links between neural network structure and human thought.

A look at Turing's influence on modern AI and machine learning.

Explores the rise and impact of Foundation Models in artificial intelligence.

A new framework enhances machine learning for movement control across various environments.

A new approach to improve AI alignment with human intentions using weaker models.

Teaching machines to recognize and respond to human emotions ethically.

New methods improve how machines recognize and respond to human emotions.

A new framework seeks to improve image generation using human feedback.

Study examines combining spoken messages and visual icons for drone control.

A study reveals a new way to identify emotions using video, sound, and text.

A new method improves hand gesture realism in digital human models.

This article explores how visual organization aids in effective searching.

A new way to control robots using mixed reality technology.

Examining AI hallucinations and critical thinking in human interactions.

Foundation models enhance emotion recognition and interaction in Affective Computing.

A new method improves large language model alignment with human input.

This article evaluates sentiment and meaning in image captions.

A new method enhances AI's grasp of human actions through specialized data.

Overview of techniques for detecting and classifying human actions.

This study focuses on improving dialogue systems' reliability by assessing confidence in responses.

Research reveals gaps in image classification models when objects are partially hidden.