Special Issue(24-07):Simulation-based Modeling for Human Computer Interaction in Modern Video Games

Simulation-based Modeling for Human Computer Interaction in Modern Video Games

The swift evolution of the computer gaming industry has led to real-time video gaming events and amusements that have attracted many people and have become more than just simple entertainment. Researchers and practitioners have classified video games as games for education and related activities, games for play therapy, games for counselling, games with simulation and modelling, and application-based games. Much attention has been paid recently to making and using games for the good of society. Game systems are made up of three main parts: input, process, and outcome. At a high level, each of these parts is important. System input is about how things outside the game system affect the game system. People's personalities and why they play games could be part of it, but it's not the only thing. The process talks about how the game works and what it's like to play. Including gameplay in the system outcome is a good thing. It is affirmative that all the end users have their role in all three parts.  

Modern Video games are an obvious subject of investigation in Human-Computer Interaction. HCI is the vital core component in creating video games because it allows us to interact with computers. In contrast to the conventional idea of HCI, video game interaction varies in how video games are played by people rather than used by them. HCI professionals can assist in creating and developing better games for the benefit of society by evaluating player characteristic features, acquaintances throughout the game, and behavioral implications of the gameplay.

Recent video games based on Persuasive techniques, games with crowdsourcing patterns, games for healthcare, games for fitness and well being, games for neurological therapy, games based on virtual reality / augmented reality, games for enhancing psychological perspectives, Live Action Role Play games, games with hegemonic features, realism and verisimilitude games and games with an alternate reality are HCI aided games. HCI collaborates with the gaming industry to produce new standards, such as the visual user experience for games in structuring the screen's layout, creating pragmatic 3D visuals, true graphics, navigation, and selecting commands or buttons used in gameplay. Data analytics, Speculative game design approaches, customization and veracity capturing, blockchain, and monetization techniques in gaming applications are viewed in the principles of HCI. Hence, this special issue focuses on the Role of Human-Computer Interaction in Modelling and Simulation of Modern Video Games.

The topics relevant to this special issue include but are not limited to:

• HCI-based persuasive video gaming models for differently-abled persons
• Advanced distributed cognition technique for HCI in Modelling and Simulation the Modern Video Games
• Novel crowdsourcing patterns for modern video gaming techniques 
• AR/VR based modern gaming technique for advanced neurological therapy
• Advanced simulation model for creating pragmatic 3D visualization for education 
• Advanced Cognitive psychology for HCI in Modelling and Simulation the Modern Video Games
• Enhanced blockchain-enabled monetization techniques for HCI-based PlayStations
• HCI based Data analytics algorithms in Modelling and Simulation 3D PlayStations
• Futuristic video gaming designs for customization and veracity capturing User Interface Design 
• HCI based realism and verisimilitude 3D gaming platform for special children.

Special Issue Timeline: 

Submission Deadline: March 30, 2025

Author Notification: May 21, 2025

Revised Submission: July 31, 2025

Final Acceptance: Nov 1, 2025

Guest Editor Information:

Managing GE:

Dr. Mehdi Gheisari

Assistant Professor,

Department of Computer Science, 

Islamic Azad University, Tehran, Iran.

Email: [email protected], [email protected] 

Google Scholar Link: https://scholar.google.com/citations?user=tmWQt9UAAAAJ&hl=en 

ORCID: https://orcid.org/0000-0002-5643-0021 

Biography: Mehdi Gheisari is a Ph.D. holder in computer science. His research interests are IoT, Healthcare, Smart City, Big Data, Artificial Intelligence, Machine Learning, Remote Sensing Data, Distributed Systems, Autonomous Vehicles and Cyber Security. Furthermore, he has published papers in several domains in highly-ranked journals and ranked conferences. He has also been serving in academic works, such as reviewing papers from several well-known venues such as IEEE communication magazine, TPC of several conferences, etc. Beyond that, he served as an associate editor and Guest editorial member of numerous venues, such as IEEE JSTAR, Cryptography, JHCE, etc. 

First Co-GE:

Dr. Subhendu Kumar Pani

Professor,

Krupajal Engineering College,

Biju Patnaik University of Technology, India.

Email: [email protected] 

Google Scholar: https://scholar.google.com/citations?user=Uyp4TWsAAAAJ&hl=en 

ORCID: https://orcid.org/0000-0001-9595-0567 

Biography: Subhendu Kumar Pani received the Ph.D. degree from Utkal University, Odisha, India, in 2013. He has published 51 International Journal articles (25 Scopus index). His professional activities include roles as the Book Series Editor (CRC Press, Apple Academic Press, and Wiley-Scrivener), an associate editor, an editorial board member, and a reviewer of various international journals. He is an associate with number of conference societies. He has more than 150 international publications, five authored books, 15 edited and upcoming books, and 20 book chapters into his account. His research interests include data mining, big data analysis, Web data analytics, fuzzy decision making, and computational intelligence. He is a fellow in SSARS Canada and a Life Member in IE, ISTE, ISCA, OBA.OMS, SMIACSIT, SMUACEE, and CSI. He was a recipient of five researcher awards.

Second Co-GE:

Dr. Kamalakanta Muduli

Professor,

Department of Mechanical Engineering,

The Papua New Guinea University of Technology, Papua New Guinea.

Email: [email protected] 

Google Scholar: https://scholar.google.co.in/citations?user=LdMwYiIAAAAJ&hl=en 

Linked-In: https://in.linkedin.com/in/kamalakanta-muduli-98119076 

Biography: Dr. Kamalakanta Muduli obtained PhD from the School of Mechanical Sciences, IIT Bhubaneswar, Orissa, India. He has published 75 papers in peer-reviewed international journals, most of which are indexed in Clarivate Analytics, Scopus, and listed in ABDC, and more than 34 papers in national and international conferences. He has also been guest editing a few special issues in journals and books approved for publication by Springer, Taylor and Francis, MDPI, CRC Press, Wiley Scrivener, and Apple Academic Press. Dr. Muduli has also guided three PhD students. His current research interests include materials science, manufacturing, sustainable supply chain management, and Industry 4.0 applications in operations and supply chain management. Dr. Muduli is a fellow of the Institution of Engineers of India. He is also a senior member of the Indian Institution of Industrial Engineering and a member of ASME.