A computer that imbibes human characteristics is considered to have a digital personality. The character is akin to real-life human with his/her distinguishing characteristics such as history, morality, beliefs, abilities, looks, and sociocultural embeddings. It also contains stable personality characteristics; fluctuating emotional, cognitive, SOAR technology, and motivational states. Digital Personality focuses on the creation of systems and interfaces that can observe, sense, predict, adapt to, affect, comprehend, or simulate the following: character based on behavior and situation, behavior based on character and situation, or situation based on character and behavior. Character sensing and profiling, character-aware adaptive systems, and artificial characters are the three primary subfields in digital personality.
Digital Personality has attracted the interest of academics from a wide range of disciplines, including psychology, human-computer interaction, and character modeling. It is expected to expand quickly as technology and computer systems become more and more intertwined into our daily lives. Digital Personality is expected to draw at least as much attention as Affective Computing. The goal of affective computing is to enable computers to comprehend both spoken and nonverbal messages from people, use implicit body language, gaze, speech tones, and facial expressions, etc. to infer the emotional state and then reply appropriately or even show affect through interaction modalities. More natural and seamless human-computer connection would be the larger objective. Users will benefit from a more individualized experience as a result. Additionally, this will affect how well the user performs since they will have the assistance of the robots to do their jobs quickly and effectively.
This book provides an overview of the character dimensions and how technology is aiding this area of study. It offers a fresh portrayal of character from several angles. It also discusses the applications of this new field of study.
Kuldeep Singh Kaswan is with the School of Computing Science & Engineering, Galgotias University, Uttar Pradesh, India. His focus is on BCI, Cyborg and Data Science. He received Doctorate in Computer Science from Banasthali Vidyapith, Rajasthan. He Received Doctor of Engineering (D. Engg.) from Dana Brain Health Institute, Iran. He has supervised many UG and PG projects of engineering students. He has supervised three PhD graduates and presently supervising four more PhD students. He has published number of books and book chapters. He has also number of publications in important journals and conferences.
Jagjit Singh Dhatterwal is an Associate Professor with the Department of Artificial Intelligence & Data Science Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. He obtained the Doctorate in Computer Science from Mewar University, Rajasthan, India. He has also worked with Maharishi Dayanand University, Rohtak and PDM University, Bahadurgarh, Haryana, India. His areas of interest include Artificial Intelligence, BCI, Cyborg and Multi-Agents Technology. He has a number of books, book chapters, journal articles and conference papers to his name.
Anand Nayyar is with the School of Computer Science, Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director of IoT and Intelligent Systems Laboratory. He has published more than 200+ research papers in various ISI-SCI/SCIE/SSCI journals. He is listed in Top 2% Scientists and Research.com. He is the Managing Editor of International Journal of Knowledge and Systems Science and Editor-in-Chief of International Journal of Smart Vehicles and Smart Transportation, both published by IGI Global, USA.
