{"product_id":"artificial-intelligence-for-human-computer-interaction-a-modern-approach-9783030826802","title":"Artificial Intelligence for Human Computer","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis edited book explores the many interesting questions that lie at the intersection between AI and HCI. It covers a comprehensive set of perspectives, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously challenging or impossible to address.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eIt starts with addressing classic HCI topics, including human behaviour modeling and input, and then dedicates a section to data and tools, two technical pillars of modern AI methods. These chapters exemplify how state-of-the-art deep learning methods infuse new directions and allow researchers to tackle long standing and newly emerging HCI problems alike. \u003ci\u003eArtificial Intelligence for Human Computer Interaction: A Modern Approach\u003c\/i\u003e concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation.\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- 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.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":50470471336279,"sku":"9783030826802","price":104.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030826802.jpg?v=1744898428","url":"https:\/\/bookcurl.com\/products\/artificial-intelligence-for-human-computer-interaction-a-modern-approach-9783030826802","provider":"Book Curl","version":"1.0","type":"link"}