000			01813nam a22002297a 4500
999			_c4487 _d4487
005			20230120124308.0
008			230120b ||||| |||| 00| 0 eng d
020			_a9783030826802
082			_a006.3 _bLI
245			_aArtificial intelligence for human computer interaction: _ba modern approach
260			_bSpringer _aSwitzerland _c2021
300			_axx, 595 p.
365			_aEURO _b149.99
490			_aHuman–Computer Interaction Series
520			_aThis 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. It 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. Artificial Intelligence for Human Computer Interaction: A Modern Approach 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.
650			_aArtificial intelligence _91478
650			_aHuman-computer interaction _9938
650			_aUser interfaces (Computer systems) _910393
700			_aLi, Yang _910490
700			_aHilliges, Otmar _911492
942			_2ddc _cBK