Effects of Emotions in Cognitive Based Game

Authors

  • Syed Muhammad Shabih-ul Hassan Professional Academy of Commerce

Keywords:

Dimensional Model (DM), Classification Model (CM), facial expression emotions (FEE), Affective Virtual Reality (AVR), Game State (GS), AS (AS), Heart Rate Variability (HRV)

Abstract


Recognition of emotion has been done through different perspectives and is useful in many domains of
Human Computer Interaction (HCI), especially in intelligent systems, interactive robots, web
applications interaction, and to elaborate social media. Our aim is to design a system which encapsulates
the behavior's set into roles which helps other developers in wrap behaviors into segments that can
diverse dynamically, based on player moves. Games utilize contextual data about players and their
environment to explore new means of interactions and enhance game experience. Cognitive science
plays an important role in the performance of cognitive ASs. Recent research claims that the cognitive
based games must incorporate in adaptive mechanisms especially in real- time adaption. Our research
focuses on the domain of computer games based on emotions of player. In this research paper, we will
layout a framework for adaptive agent game at which player's emotions are shown at each move in
emotion avatar. With the help of cognition adaptive nature, system can change its level of difficulty as
any change occur in performance of player. After achieving a real cognitive improvement, system will
be able to provide appropriate challenges. Emotions in games enhance the motivation of player's by
dynamically adapt the procedure of agent systems.

Downloads

Published

2025-12-27

Issue

Section

Articles