Titlebook: Artificial Intelligence for Human Computer Interaction: A Modern Approach; Yang Li,Otmar Hilliges Book 2021 The Editor(s) (if applicable)

个阿姨勾引你

Limpid

乏味

AI-Driven Intelligent Text Correction Techniques for Mobile Text Entry that correction to a previously committed error. We evaluated these techniques in and the results show that correction with the new techniques was faster than de facto cursor and backspace-based correction.

政府

Bridging Natural Language and Graphical User Interfacesnterfaces such that a user knows how to control them in language. These projects resemble research efforts intersecting Natural Language Processing (NLP) and HCI, and produce datasets and opensource code that lay a foundation for future research in the area.

连锁

ML Tools for the Web: A Way for Rapid Prototyping and HCI Researchvide a case study, using TensorFlow.js—a major Web ML library, to demonstrate how to prototype with Web ML tools in different prototyping scenarios. At the end, we discuss challenges and future directions of designing tools for fast prototyping and research.

inclusive

Crumple

Human–Computer Interaction Serieshttp://image.papertrans.cn/b/image/162371.jpg

克制

Artificial Intelligence for Human Computer Interaction: A Modern Approach978-3-030-82681-9Series ISSN 1571-5035 Series E-ISSN 2524-4477

意外

Postmodern Revisions: New Tales for Old?,actually testing it with real users. In this chapter, we are going to discuss how deep learning methods can be used to aid human performance prediction in the context of HCI. Particularly, we are going to look at three case studies. In the first case study, we discuss deep models for goal-driven hum

arrogant