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Fakhroddin Noorbehbahani

Biographic Data

ID9661295
NAMEFakhroddin Noorbehbahani
GIVEN NAMESFakhroddin
FAMILY NAMENoorbehbahani
SIGNATURENOORBEHBAHANI F
AFFILIATIONSUniversity of Isfahan
ORCID0000-0001-8771-0205
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Analysis and Personalization of Gamification Elements Using Machine Learning Based on User Characteristics

    Open Access•Mahshid Aliakbari, Fakhroddin Noorbehbahani et al.•ARTICLE•Simulation & Gaming•2026

    Background Gamification is widely used to enhance engagement, motivation, and performance across domains such as education, health, and business. However, one-size-fits-all designs often fail to address the multidimensional nature of user characteristics, resulting in inconsistent outcomes. Most personalization strategies focus on single traits (e.g., player type) and neglect personality, cultural, and persuasive factors. This study proposes a ma…

No prominent works on this page.

  • Analysis and Personalization of Gamification Elements Using Machine Learning Based on User Characteristics

    Open Access•Mahshid Aliakbari, Fakhroddin Noorbehbahani et al.•ARTICLE•Simulation & Gaming•2026

    Background Gamification is widely used to enhance engagement, motivation, and performance across domains such as education, health, and business. However, one-size-fits-all designs often fail to address the multidimensional nature of user characteristics, resulting in inconsistent outcomes. Most personalization strategies focus on single traits (e.g., player type) and neglect personality, cultural, and persuasive factors. This study proposes a ma…

Big Five personality traits (1 work) · Educational Games and Gamification (1 work) · Innovative Human-Technology Interaction (1 work) · Personality (1 work) · Personalization (1 work) · Preprocessor (1 work) · Random forest (1 work) · Virtual Reality Applications and Impacts (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae