research-article

Towards the Identification of Players' Profiles Using Game's Data Analysis Based on Regression Model and Clustering

Authors:

Souhila Benmakrelouf,

Neila Mezghani,

Nadjia KaraAuthors Info & Claims

ASONAM '15: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015

Pages 1403 - 1410

https://doi.org/10.1145/2808797.2809429

Published: 25 August 2015 Publication History

Abstract

Personalization of serious games is an important factor for motivating and engaging players. It requires the identification of players' profiles through the analysis of large volume of data including game data. This research study aims at identifying relevant data from an online serious game and the appropriate data mining methods for deduction of players' profiles. Multiple linear regression is applied to analyze the influence of player's characteristics on his performance. Moreover, clustering technique is used, in particular K-means, to extract players' clusters and to identify their common characteristics. The regression models showed that the number of access to the game, completed quests and advantages used contribute significantly to the scores and the gaming duration, while the clustering revealed three forms of players' participation: beginner, intermediate and advanced; who interact with the game according to their experiences.

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Cited By

Toledo JAcosta-Urigüen MOrellana M(2023)Data Mining Application for the Generation of User Profiles in Serious Games Aimed at Attention and Memory TrainingSmart Technologies, Systems and Applications10.1007/978-3-031-32213-6_2(18-32)Online publication date: 21-May-2023
https://doi.org/10.1007/978-3-031-32213-6_2
Orellana MAcosta-Urigüen MGarcía R(2022)Implementation of Clustering Techniques to Data Obtained from a Memory Match Game Oriented to the Cognitive Function of AttentionInformation and Communication Technologies10.1007/978-3-031-18272-3_14(201-216)Online publication date: 5-Oct-2022
https://doi.org/10.1007/978-3-031-18272-3_14
Bettker RMinini PPereira GAssuncao J(2021)Towards playing AIs for 7 Wonders: main patterns and strategies for 3-player games2021 20th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)10.1109/SBGames54170.2021.00029(172-181)Online publication date: Oct-2021
https://doi.org/10.1109/SBGames54170.2021.00029
Show More Cited By

Towards the Identification of Players' Profiles Using Game's Data Analysis Based on Regression Model and Clustering
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
2. Information systems
  1. Information retrieval
  2. Information systems applications

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cover image ACM Conferences

ASONAM '15: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015

August 2015

835 pages

ISBN:9781450338547

DOI:10.1145/2808797

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 25 August 2015

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ASONAM '15: Advances in Social Networks Analysis and Mining 2015

August 25 - 28, 2015

Paris, France

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Overall Acceptance Rate 116 of 549 submissions, 21%

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Cited By

Toledo JAcosta-Urigüen MOrellana M(2023)Data Mining Application for the Generation of User Profiles in Serious Games Aimed at Attention and Memory TrainingSmart Technologies, Systems and Applications10.1007/978-3-031-32213-6_2(18-32)Online publication date: 21-May-2023
https://doi.org/10.1007/978-3-031-32213-6_2
Orellana MAcosta-Urigüen MGarcía R(2022)Implementation of Clustering Techniques to Data Obtained from a Memory Match Game Oriented to the Cognitive Function of AttentionInformation and Communication Technologies10.1007/978-3-031-18272-3_14(201-216)Online publication date: 5-Oct-2022
https://doi.org/10.1007/978-3-031-18272-3_14
Bettker RMinini PPereira GAssuncao J(2021)Towards playing AIs for 7 Wonders: main patterns and strategies for 3-player games2021 20th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)10.1109/SBGames54170.2021.00029(172-181)Online publication date: Oct-2021
https://doi.org/10.1109/SBGames54170.2021.00029
Zhou YHu ZLiu Y(2021)Analyzing User Behavior Patterns in Casual Games Using Time Series Clustering2021 2nd International Conference on Computing and Data Science (CDS)10.1109/CDS52072.2021.00070(372-382)Online publication date: Jan-2021
https://doi.org/10.1109/CDS52072.2021.00070
Vanderlei Fernandes LSarmet MCastanho CPezzuol Jacobi Re Silva T(2020)Analysis of Clustering Techniques in MMOG with Restricted Data: The Case of Final Fantasy XIVDesign, User Experience, and Usability. Design for Contemporary Interactive Environments10.1007/978-3-030-49760-6_42(586-604)Online publication date: 10-Jul-2020
https://doi.org/10.1007/978-3-030-49760-6_42
Fairuzabadi ASupianto A(2018)CoMiG: a Color Mix Game as a Learning Media for Color Mixing Theory2018 International Conference on Sustainable Information Engineering and Technology (SIET)10.1109/SIET.2018.8693166(197-201)Online publication date: Dec-2018
https://doi.org/10.1109/SIET.2018.8693166
Petrov DAlseghayer RMosse DChrysanthis P(2018)Data-Driven User-Aware HVAC Scheduling2018 Ninth International Green and Sustainable Computing Conference (IGSC)10.1109/IGCC.2018.8752161(1-8)Online publication date: Oct-2018
https://doi.org/10.1109/IGCC.2018.8752161
Zimmermann GStrobbe CZiegler D(2018)Inclusive Responsiveness – Why Responsive Web Design Is Not Enough and What We Can Do About ThisAdvances in Design for Inclusion10.1007/978-3-319-94622-1_20(203-215)Online publication date: 24-Jun-2018
https://doi.org/10.1007/978-3-319-94622-1_20
Siqueira ECastanho CRodrigues GJacobi R(2017)A Data Analysis of Player in World of Warcraft Using Game Data Mining2017 16th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)10.1109/SBGames.2017.00009(1-9)Online publication date: Dec-2017
https://doi.org/10.1109/SBGames.2017.00009

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