Latest Articles for Human-Computer Interaction

This article presents new methods for identifying complex emotions in AI.

An overview of essential traits for improving language models in dialogue.

CycleAdapt enhances accuracy in reconstructing human shapes from video data.

New method improves robots' ability to understand human perspectives.

Examining how human feedback shapes decision-making reward systems.

A system enhancing human collaboration in text summarization.

A new model predicts interactions in virtual environments by focusing on objects.

Exploring cognitive models to improve agent coordination and decision-making.

A new method enhances motion prediction using auxiliary learning tasks.

Discover the impact of visual grounding in language and image interactions.

A method to generate realistic human movements using text descriptions.

A new method enhances hand pose accuracy from single images using advanced techniques.

This study examines mid-air haptic feedback in virtual reality for relaxation benefits.

New dataset and framework improve spoken question answering capabilities.

This study investigates how brain activity relates to emotions using machine learning.

Integrating metadata enhances performance in speech tasks like language identification.

This paper discusses how robots can identify conversation partners using visual cues.

A new approach improves how computers recognize gestures in communication.

A study on how user behaviors can measure robot interactions.

Research on generating realistic listener gestures during conversations using language models.

New methods improve accuracy in recognizing complex hand gestures.

Voice agents impact teamwork through helpfulness and perceived human-like traits.

A look into how LLMs shape autonomous agents across various fields.

This study explores how smaller receptive fields enhance action recognition in videos.

New methods help machines identify how people can interact with objects.

Investigating how larger targets improve speed in virtual reality selection tasks.

New techniques utilize generated images for better machine understanding of human-object interactions.

A new framework enhances language models using offline human feedback methods.

RefEgo dataset enhances video object recognition through natural language instructions.

A new method enhances BCI training efficiency for better user control.

New model improves recognition of facial expressions in videos.

Study investigates methods to enhance user experience with adaptive interfaces.

This study examines how eye tracking enhances the performance of Vision Transformers in driving tasks.

A new method improves pose estimation using only target domain data.

Mixed Reality improves how we follow instructions during everyday tasks.

New model enhances gesture generation for more human-like interactions.

GTR combines gaze location and object detection for faster, more accurate results.

New approach improves understanding of hand contact with flexible objects in technology.

New methods improve human pose and shape estimation from 3D data.

Researchers analyze how emotions are shared through speech using diverse data.