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

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

DOI: 10.2174/9789815079937123030004

HCI Learning From Cognitive Web

Pp: 69-121 (53)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

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. 

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