Big Data Analytics for Human-Computer Interactions: A New Era of Computation

HCI Learning From Cognitive Web

Author(s): Kuldeep Singh Kaswan*, Anupam Baliyan*, Jagjit Singh Dhatterwal* and Om Prakash Kaiwartya * .

Pp: 69-121 (53)

DOI: 10.2174/9789815079937123030004

* (Excluding Mailing and Handling)

Abstract

A cognitive framework is suggested in this article to monitor learning processes based on the combination of human-computer interaction. The observation is founded on the interaction of elements between humans and the computer. The adaptive architecture of cognitive learning is introduced for interaction between humans and machines. The authors have also chosen a topology tree as the hierarchical model of a low-dimensional educational space to perform online observations. In addition, the methodology for the BSM (coupling-manifold brain human cognitive scenario) is provided for the coupling morphism. It proposes that things be observed in a mental or learning diverse way. Finally, this chapter suggests developing new tools and implementing different functionalities integrating intelligent data analysis techniques. An area that still needs further work is the cognitive area, particularly towards helping build more accurate mental model. 


Keywords: Computational, Computer simulation, Google brain, Indexing, Internet web, Knowledge base, Learning, Sense reality, Searching, Shannon, Smart Behavior, Sensor Technology, Search engine, Teletype Machine, Think deeper, Trigger, Web page.

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