Latest Articles for Human-Computer Interaction

DiaLoc improves location guessing via real-time conversation updates.

An overview of body-area capacitive sensing technology and its diverse applications.

A new approach combines language models with context-aware human activity recognition.

ELLA-V enhances text-to-speech quality and control, surpassing previous models.

Examining human factors in detecting errors in AI-generated content.

A new method enhances communication skills of language agents.

HandFormer improves action recognition using 3D hand poses and images.

Exploring how self-confidence affects reliance on AI for better decision-making.

Exploring the role of heuristics in AI decision-making processes.

RG-LCD enhances image generation from text, aligning with human preferences effectively.

New techniques improve brain-computer interfaces using EEG and deep learning.

A new framework improves 3D human pose estimation using two pose augmentors.

A new model improves realism in animations involving human interactions with objects.

A study on how AI tools affect writing experiences and perceptions.

CQR enhances understanding and responses in conversations by rewriting unclear queries.

Machines can identify and visualize tasks based on a single image.

Innovative system enables control of soft robots with brain activity.

New framework improves human mesh recovery from multiple images.

A new framework improves pose estimation for diverse objects using meta-point learning.

A new framework improves how language agents learn and perform tasks.

This paper explores how semantic decoding improves AI teamwork and outputs.

New methods combine visual and text inputs for improved language learning in machines.

Introducing a structured design space for intelligent writing assistants.

Audio Flamingo excels in listening, conversing, and adapting to new audio tasks.

SLYKLatent improves robots' understanding of human gaze and intentions.

This work explores how human feedback can enhance summarization models.

A framework for better understanding how people engage with robots using video simulations.

This research focuses on improving emotion recognition using video clips.

This article examines issues in AI learning due to limited human feedback.

This article discusses how robots can better understand human preferences in task execution.

Examining how AI can generate supportive and empathic responses.

Examining techniques and challenges in estimating human head positions.

A new approach enhances understanding of AI decisions in image-based question answering.

A look at new models for natural spoken responses.

Examining how data shapes the alignment of AI models with human preferences.

A new method enhances data diversity for better 3D hand models.

A framework for automatically generating rules to align LLM outputs with human expectations.

This article examines the ethical concerns of using LLMs in research.

New machine learning models enhance eye tracking accuracy in virtual reality environments.

Learn how different editing strategies impact outcomes when working with language models.