Latest Articles for User Experience

A new method improves product recommendations using both visual and textual information.

This research focuses on enhancing dialogue systems by integrating context and meaning in evaluations.

Multimedia recommendation systems help users find tailored content in a digital world.

A look at how visual markers link physical objects with virtual experiences.

Examining how designer intent shapes effective data communication.

A look into how developers interact with GitHub Copilot and its features.

Introducing a method that enhances online fashion shopping using open-source data.

Understanding preferences for job recommendation explanations is vital for effective recruitment.

A new framework enhances object counting accuracy through user feedback.

Style2Fab allows users to personalize 3D models without impacting functionality.

New methods improve task learning and retention in dialogue systems.

iHAS improves predictions and efficiency in recommender systems through tailored dimension selection.

Counterfactual explanations clarify AI predictions by showing possible input changes.

A new framework simplifies creating autonomous language agents for diverse applications.

Mobile augmented reality combines the digital and physical worlds for engaging experiences.

A look at conversational recommenders using real dialogue for better suggestions.

A new technique helps language models generate diverse outputs beyond text.

A look at device fingerprinting and a method to protect user privacy.

A study on how users interpret AI explanations and their limitations.

A new approach uses Reinforcement Learning to tackle cold start challenges in serverless computing.

A new method enhances ASR performance through text data integration.

An overview of challenges and solutions in multilingual search.

A framework to enhance privacy in recommendation systems while ensuring accurate suggestions.

Examines how recommendation systems shape user perspectives and public discussions.

ProToD enhances task-oriented dialogues by anticipating user needs for improved efficiency.

A new model enhances search and recommendations for users with limited data.

A system improving deep learning performance in web applications through real-time code generation.

This method enhances recommendations while protecting user data privacy.

Exploring the accuracy and trustworthiness of ChatGPT's answers.

A new system improves avatar movement accuracy and resource management in virtual worlds.

Study explores how to improve AI decision explanations for better patient understanding.

Explore how dark patterns manipulate users online and the need for awareness.

Examining fairness metrics in grid layouts for recommender systems.

How advanced language tools are transforming privacy policy analysis.

Exploring how language models enhance self-driving car communication and decision-making.

A new method improves data visualization with minimal memory use.

A new model enhances recommendations by combining text, images, and prices.

Testaro simplifies accessibility testing by combining multiple tools into one streamlined process.

A method to structure medical terms for easier access and understanding.

Learn how new techniques improve mobile data transfer during handovers.