Vol.70, No.3, 2022, pp.4947-4964, doi:10.32604/cmc.2022.021104
OPEN ACCESS
ARTICLE
Personality Detection Using Context Based Emotions in Cognitive Agents
  • Nouh Sabri Elmitwally1,2, Asma Kanwal3,4, Sagheer Abbas3, Muhammad A. Khan5, Muhammad Adnan Khan6,*, Munir Ahmad3, Saad Alanazi1
1 College of Computer and Information Sciences, Jouf University, Sakaka, 72341, Saudi Arabia
2 Department of Computer Science, Faculty of Computers and Artificial 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:
Received 22 June 2021; Accepted 23 July 2021; Issue published 11 October 2021
Abstract
Detection of personality using emotions is a research domain in artificial intelligence. At present, some agents can keep the human’s profile for interaction and adapts themselves according to their preferences. However, the effective method for interaction is to detect the person’s personality by understanding 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
Cite This Article
Elmitwally, N. S., Kanwal, A., Abbas, S., Khan, M. A., Khan, M. A. et al. (2022). Personality Detection Using Context Based Emotions in Cognitive Agents. CMC-Computers, Materials & Continua, 70(3), 4947–4964.
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