All Stories

  1. Explanation User Interfaces: A Systematic Literature Review
  2. AI-Based Platforms for Drug Discovery: Current Tools and Human-Centered Design Strategies
  3. Building Symbiotic Artificial Intelligence: Reviewing the AI Act for a Human-Centred, Principle-Based Framework
  4. A dataset of interactions and emotions for website user experience evaluation
  5. Understanding user mental models in AI-driven code completion tools: Insights from an elicitation study
  6. Designing Human-Centered Code Completion Tools in the Age of Generative AI
  7. Correction: From human-centered to symbiotic artificial intelligence: a focus on medical applications
  8. ATHENA: A customizable LLM-based Code Completion Tool for Visual Studio Code
  9. Explanation-Driven Interventions for Artificial Intelligence Model Customization
  10. From human-centered to symbiotic artificial intelligence: a focus on medical applications
  11. Bridging the gap between GPDR and software development: the MATERIALIST framework
  12. Bridging the Gap Between GPDR and Software Development: The MATERIALIST Framework
  13. A Human–AI interaction paradigm and its application to rhinocytology
  14. Bridging the Gap Between GPDR and Software Development: The MATERIALIST Framework
  15. 1st Workshop on Child-Centered AI for Empowering Creative and Inclusive Learning Experiences
  16. To Automate or To Augment Humans? That is the Question for AI, and The Answer Depends on Users
  17. Unlocking Insights into Alzheimer’s Diagnosis with Multi-modal Imaging Models
  18. From Images to Insight: How AI Helps Detect Brain Tumors
  19. Improving Customer Service Through Rapid Prototyping of Data Exploration Chatbots
  20. Digital Modeling for Everyone: Exploring How Novices Approach Voice-Based 3D Modeling
  21. Exploring the Current Solutions for Developing AI By Ourselves
  22. SERENE: a Web platform for the UX semi-automatic evaluation of website
  23. Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PET
  24. Detecting Emotions Through Machine Learning for Automatic UX Evaluation