Latest Articles for Human-Computer Interaction

User feedback, especially follow-up comments, improves evaluations of dialogue systems.

Learn how PCAs enhance user interaction and experience in technology.

An overview of how memory enhances the performance of LLM-based agents.

Research reveals advantages of bi-manual techniques for teleportation in virtual reality.

This article discusses effective methods for collecting and utilizing human feedback to enhance AI systems.

EasyLAN streamlines the development of collaborative LLM networks for complex tasks.

New model emoDARTS improves accuracy in recognizing speech emotions using deep learning.

New dataset offers insights into cognitive load during tasks.

A study on improving TTS systems with diverse voice samples.

PLAYER* enhances agent communication and problem-solving in murder mystery settings.

IMEX-Reg enhances machine learning by reducing forgetting and improving task performance.

Explore the role of human aspects in software modelling and its implications.

Exploring the integration of LLMs with reinforcement learning for improved problem-solving.

A novel method enhances human feedback efficiency in RL using low-quality data.

Addressing diverse human preferences in AI training methods.

An overview of imitation learning and its applications in training agents.

Examining how human examples impact machine learning for programming tasks.

Myoelectric control technology is evolving, offering new interaction methods with computers.

A new approach enhances alignment of language models with human preferences.

New scale assesses real-time user enjoyment in human-robot interactions.

A new framework enhances model performance with minimal user data.

Innovative method combines language models and human input for dialog datasets.

Introducing methods to guide language models in displaying specific personality traits.

A new system improves tracking of hand-object interactions for various applications.

Exploring how explainable interfaces improve collaboration between humans and autonomous systems.

A new method enhances accuracy in estimating human poses from 2D images.

LAPS method improves conversational agents by generating realistic dialogues and capturing user preferences.

SWE-agent improves LM agents' performance in software engineering tasks with a specialized interface.

A new method enhances how robots predict human actions.

A new system improves malware detection by understanding behavior changes.

This study analyzes the effectiveness of LLMs in evaluating AI-generated explanations.

New data augmentation methods enhance performance in wireless sensing applications.

A framework combining human expertise and LLMs to improve qualitative research.

Examining fairness in reinforcement learning systems for ethical decision-making.

Investigating how LLMs interact with human thoughts and feelings.

Study reveals users prefer static speech agents over adaptive ones.

New methods improve image understanding through language descriptions.

This paper discusses the need for explainability in AI text generation models.

CinePile challenges long video comprehension with 305,000 diverse questions.

Enhancements in EMG technology improve hand gesture recognition for better device control.