ech T Press Science Computers, Materials & Continua DOI:10.32604/cmc.2022.021104 Article Personality Detection Using Context Based Emotions in Cognitive Agents Nouh Sabri Elmitwally 1,2 , Asma Kanwal 3,4 , Sagheer Abbas 3 , Muhammad A. Khan 5 , Muhammad Adnan Khan 6, * , Munir Ahmad 3 and Saad Alanazi 1 1 College of Computer and Information Sciences, Jouf University, Sakaka, 72341, Saudi Arabia 2 Department of Computer Science, Faculty of Computers and Artifcial Intelligence, Cairo University, 12613, Egypt 3 School of Computer Science, National College of Business administration and Economics, Lahore, 54000, Pakistan 4 Department of Computer Science, GC University, Lahore, Pakistan 5 Riphah School of Computing & Innovation, Faculty of Computing, Riphah International University, Lahore Campus, Lahore, 54000, Pakistan 6 Pattern Recognition and Machine Learning Lab, Department of Software, Gachon University, Seongnam, 13120, Korea * Corresponding Author: Muhammad Adnan Khan. Email: adnan@gachon.ac.kr Received: 22 June 2021; Accepted: 23 July 2021 Abstract: Detection of personality using emotions is a research domain in artifcial intelligence. At present, some agents can keep the human’s profle for interaction and adapts themselves according to their preferences. However, the effective method for interaction is to detect the person’s personality by under- standing the emotions and context of the subject. The idea behind adding personality in cognitive agents begins an attempt to maximize adaptability on the basis of behavior. In our daily life, humans socially interact with each other by analyzing the emotions and context of interaction from audio or visual input. This paper presents a conceptual personality model in cognitive agents that can determine personality and behavior based on some text input, using the context subjectivity of the given data and emotions obtained from a particular situation/context. The proposed work consists of Jumbo Chatbot, which can chat with humans. In this social interaction, the chatbot predicts human personality by understanding the emotions and context of interactive humans. Currently, the Jumbo chatbot is using the BFI technique to interact with a human. The accuracy of proposed work varies and improve through getting more experiences of interaction. Keywords: Emotions; fuzzy; personality detection; contextual analysis; semantic analysis 1 Introduction Cognitive agents have gained massive popularity over the last few decades. These agents are now being widely incorporated in all kinds of domains [1] from health to industrial/non-industrial, educational, technological to sales/marketing and customer support; these agents can be found doing day jobs almost like their natural counterparts [2]. These agents are designed keeping in mind the psychological behavior and philosophical reasoning of humans. The psychological aspect This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.