Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms

1Cognitive Behavior: Different Human-Computer Interaction Types

S. Venkata Achyuth Rao^1*, Sandeep Kumar² and GVRK Acharyulu³

¹CSE, SIET, Hyderabad, Telangana, India

²Computer Science and Engineering Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andra Pradesh, India

³Operations & Supply Chain, MBA (Healthcare & Hospital Management), School of Management Studies, University of Hyderabad, Telangana, India

*Corresponding author: [e-mail]

Abstract

Cognitive behavior plays a significant and strategic role in human-computer interaction devices that are deployed nowadays, with artificial intelligence, deep learning, and machine learning computing techniques. User experience is the crucial factor of any successful interacting device between machine and human. The idea of providing a HCUIMS is to create interfaces in terms of the bottom level of any organization as Decision Processing User Interacting Device System (DPUIDS), next at middle level management, Decision Support User Interacting Device Systems (DSUIDS), lastly at executive level, Management Information User Interacting Device System (MIUIDS), where decisions can take at uncertainty at various catastrophic situations. Here are specific gaps demonstrated in the various user’s processes in communicating with computers and that cognitive modeling is useful in the inception phase to evolve the design and provide training.

This is provided with the fulfillment of various interactive devices like Individual ...