Latest Articles for Human-Computer Interaction

Highlighting the need for critical thinking alongside machine recommendations in healthcare.

A new method enhances language model communication by adjusting personality traits.

This article discusses ways to enhance safety in RL using language models.

A new approach enhances reliability in training language models through robust feedback systems.

Research highlights how nonverbal actions affect interactions with robots and characters.

Exploring the GenSEC challenge to improve speech transcription accuracy.

A new framework enhances model performance by addressing feedback reliability.

A new method enhances pose estimation using RGB images informed by depth data.

Examining how 2D and 3D gestures affect virtual character communication.

AI systems learn through exploration and motivation, improving their task performance.

A study measures how AI models understand human emotions through a structured framework.

A fresh approach to training reward models enhances AI alignment with human preferences.

Innovative framework enhances real-time interaction between robots and humans.

Study reveals hand gestures can indicate feelings and cognitive effort in virtual reality.

Using large language models to simplify feedback in reinforcement learning.

A method to predict opponents' moves in simultaneous choice games.

Examining the understanding and output accuracy of language models.

This study examines how AI understands space and perspective compared to humans.

A new framework enhances collaboration between humans and robots.

The SHULDRD device enhances testing in human-robot interactions safely.

Robots can improve interactions with humans by understanding their behavior patterns.

A new method helps language models forget specific information effectively.

A new framework evaluates how well language models recognize and respond to emotions.

Examining the role of emotions in enhancing language model interactions.

A system that learns and adapts through continuous interaction with its environment.

New methods improve motion generation from text, adding gestures and expressions.

A new approach to training language models improves efficiency and performance.

This system aids researchers in improving UX evaluation for AI interactions.

Assessing the role of language models in relevance judgments for information retrieval.

Study enhances accuracy in hand gesture recognition using ultrasound data.

A new auction-based method enhances the efficiency of collecting preference data for AI models.

This study examines the effectiveness of explanations in job recommender systems.

A new method enhances planning efficiency without expert reliance.

A study on improving recommendation systems by focusing on feature extraction techniques.

A study revealing how virtual spiders impact physical and emotional reactions.

A new method improves speech interactions by integrating recognition and response processes.

AXIS simplifies software interaction through API-based commands for improved efficiency and reliability.

Evaluating VLMs on spatial tasks using visual and unclear text.

Exploring the idea of math as a way to express human thoughts.

Examining how robots can truly understand language through real-world experiences.