The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI-Driven Player Behavior Analysis and Personalization
|
|
Author(s): Nofamataro Zebua (Universitas Negeri Malang, Indonesia), Yan Piter Basman Ziraluo (Universitas Nias Raya, Indonesia), Ester Novi Kurnia Zebua (Universitas Negeri Malang, Indonesia)and Ridho Victory Nazara (Universitas Nias, Indonesia)
Copyright: 2026
Pages: 30
Source title:
Examining AI Innovations in Gaming and Entertainment
Source Author(s)/Editor(s): Jeff Saltz (Syracuse University, USA), Jasmina Tacheva (Syracuse University, USA), Shamik Tiwari (IILM University, Gurugram, India)and Anurag Jain (IILM University, Gurugram, India)
DOI: 10.4018/979-8-3373-3690-9.ch007
Purchase
|
Abstract
This chapter explores the application of Artificial Intelligence (AI) to analyze and customize the behavior of individual players in contemporary digital games. It explains the application of AI tools such as machine learning, deep learning, and reinforcement learning to personalize interactions, upgrade systems, dynamic story generation, and gamification to reduce player churn. The chapter also examines sociological and computational theories of player profiling, ethical issues regarding the use of data, and the personalization of immersive gaming experiences through AI technologies. The chapter places particular emphasis on inclusive and adaptive design, and responsible innovation.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|