Artificial Intelligence for Human Computer Interaction: A Modern Approach

Introduction.- Part 1: Modeling.- Human performance modeling with deep learning.- Optimal control to support high-level user goals in human-computer interaction.-Modeling UI tappability using deep learning and crowdsourcing.- Part 2: Input.- Eye gaze estimation and its applications.- AI-driven intelligent text correction techniques for mobile text entry.- Deep touch: Sensing press gestures from touch image sequences.- Deep learning-based hand posture recognition for pen interaction enhancement.- Part 3: Data and tools.- An early Rico retrospective: Three years of uses for a mobile app dataset.- Visual intelligence through human interaction.- ML tools for the web: A way for rapid prototyping and HCI research.- Interactive reinforcement learning for autonomous behavior design.- Part 4: Specific domains.- Sketch-based creativity support tools using deep learning.- Generative link: Data-driven computational models for digital ink.- Bridging natural language and graphical user interfaces.- Demonstration + natural language: Multimodal interfaces for GUI-based interactive task learning agents.- Human-centred AI for medical imaging.- 3D spatial sound individualization with perceptual feedback.