Thrilled to share our #UIST2025 research! We investigate how the decomposition principle can improve human feedback for LLM alignment. In a 160-participant study, our tool DxHF increases feedback accuracy by +4.7% 👉 sdq.github.io/DxHF Furui Tino @oulasvirta.bsky.social @elassady.bsky.social

📢The open access version of our book is available now via OUP's site: global.oup.com/academic/pro...

AI models are paving the way for explainable AI and better human-computer interaction fcai.fi/news/2025/4/...

Our paper has been selected for #CHI2025 Best Paper Honorable Mention recognition 🥳🥳

1/ Why do people make so many errors in touchscreen typing, and how do people fix them? Our #CHI2025 paper introduces Typoist, the computational model to simulate human errors across perception, motor, and memory. 📄 arxiv.org/abs/2502.03560

Many thanks to SIGCHI for recognizing our work and to numerous brilliant colleagues. It is a great honor to join the Academy.

1/ How people read charts when they have a specific task in mind? Their gaze isn’t random! Our #CHI2025 paper introduces Chartist, the first model designed to simulate these task-driven eye movements. 📄 arxiv.org/abs/2502.03575