Artificial Intelligence for Human Computer Interaction: A Modern Approach by Yang Li

Artificial Intelligence for Human Computer Interaction: A Modern Approach by Yang Li

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.

Li Yang, PhD in economics, CASS academician, member of the International Eurasian Academy of Sciences, President of the National Finance and Development Laboratory, and former vice president of CASS. His major research areas include banking, macroeconomics and finance. He has won the Sun Yefang Fiscal Science Awards five times, and the China Soft Science Award and Sun Yefang Financial Innovation Award in 2015.
Zhang Xiaojing, researcher, deputy director, Institute of Urban Development and Environment, CASS, deputy director of National Finance and Development Laboratory. His main research fields include open economy macroeconomics, growth theory and development economics. Having been a visiting scholar at the Stockholm School of Economics, Harvard University, the (US) National Bureau of Economic Research and the International Monetary Fund, he has won Sun Yefang Fiscal Science Award twice, the China Soft Science Award in 2015, and the Sun Yefang Financial Innovation Award in 2015, among others.
Chang Xin, researcher at the Institute of Economics CASS. Her main research interests are macro economy, public economy and system economy. She was a visiting researcher at the Department of Economics, Yale University from August 2004 to August 2005, with the support of the Ford Foundation. She has published two monographs and more than 20 papers in Economic Research Journal, Economic Perspectives, etc. and has hosted or participated in more than 10 projects supported by the National Social Science Foundation or by CASS.

SKU	Unavailable
ISBN 13	9783030826802
ISBN 10	3030826805
Title	Artificial Intelligence for Human Computer Interaction: A Modern Approach
Author	Yang Li
Series	Human-Computer Interaction Ser
Condition	Unavailable
Binding Type	Hardback
Publisher	Springer Nature Switzerland AG
Year published	2021-11-05
Number of pages	595
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.