Latest Articles for Human-Computer Interaction

Improving spoken dialogue systems through error correction and efficient processing techniques.

A new method helps robots learn by mimicking human attention.

A new model improves accuracy in estimating human body poses from video data.

This study offers a new method to measure haptic touchscreen performance.

A study on how emotions arise in dialogues about images.

New systems improve speaker identification using both audio and visual data.

A new method to refine reward systems in reinforcement learning using user input.

A new method for dialogue policy learning improves conversation responses.

A new method for better evaluating object proposals in vision and language tasks.

This article reviews a new benchmark for evaluating emotional understanding in AI models.

Research develops a model to accurately measure engagement in conversations.

A new model improves video action detection through object attributes and relationships.

Exploring the role of RLAIF in enhancing language model training.

Research focuses on improving communication between humans and robot swarms.

New methods improve the quality of synthesized speech using self-supervised learning.

HERON simplifies reward design, enhancing reinforcement learning efficiency and flexibility.

DaTrans aims to improve dialog systems by integrating pre-trained language models.

New methods improve how machines understand object interactions.

A new framework enhances out-of-distribution detection in time series analysis.

A new method helps robots learn delicate tasks by mimicking human skills.

New methods improve understanding of artificial agents' behaviors through program synthesis.

Research shows artificial agents can comprehend and act on language tasks effectively.

This work assesses how well VLMs reason based on visual content.

Robots can learn better by interacting with humans using everyday language.

A new method improves emotion detection from speech using audio only.

A study on disentangling speaker identity from speech signals for improved processing.

This article discusses how robots can gain trust by adapting to human preferences.

Researchers improve digital agents' emotional responses using language models.

New method enhances detection of actions between humans and objects without extensive labeling.

New methods enhance how robots mimic human movements, improving interaction.

A new framework improves action recognition by separating spatial and temporal clues.

A novel approach to capture hand-object interactions in 3D using short video clips.

New approach automates reward function design for deep reinforcement learning in robots.

JOADAA model improves action anticipation and online detection in real-time scenarios.

Examining the role of background in interpreting language tasks.

A new method creates realistic gestures from raw speech audio.

LInKs improves 3D pose estimation from 2D data, even with occlusions.

TransNet offers an efficient solution for recognizing human actions in video data.

A new framework enhances human-object interactions through simple language commands.

A new method enhances the performance of vision and language models in processing complex data.