Читать книгу Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms - Группа авторов - Страница 12

S. Venkata Achyuth Rao1*, 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: drsvarao@gmail.com

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 Intelligences Interactions (I3), Artificial and Individual Intelligences Interaction (AI3), Brain-Computer Interaction (BCI), and Individual Interactions through Computers (I2C) in a playful manner to meet the corporate challenges in all stakeholders of various domains with better user experience.

Keywords: Cognitive behavior, user experience, interacting devices, modeling, intelligence