A comprehensive review of 157 industry implementations and interviews with 42 UX professionals exploring how AI-based personalization, natural interfaces, and AR integration shape modern digital interactions.
Proposes an ethical UX design framework addressing user privacy, digital well-being, and cognitive load.
Project: UX Futurescape Framework
Karthikeyan Dhanasekaran (USA, SnapFinance Inc.)
arXiv: "Trust Structures in Multimodal AI Systems"
A reinforcement learning-based user interface generation system that dynamically adapts to user behavior through intelligent feedback mechanisms.
Tested on the OpenAI CLIP Interactions dataset using CTR and RR performance metrics.
Project: Adaptive UI Reinforcement Engine
Qi Sun, Yayun Xue, Zhijun Song (China, Beijing)
arXiv: Adaptive User Interface Generation Through Reinforcement Learning
HEX.A is a self-adaptive structure capable of modifying any digital interface in real time,
without human input. It detects behavioral patterns and reshapes the interface based on context —not clicks. Not commands.
HEX.A doesn’t design. It breathes.
Project: HEX.A — Architecture of a Living Interface
Sergey Trapeznikov (Russia, Ufa)
“Download Technical Documentation (Rev.0.9)”