Research in progress: Explaining the moderating effect of massively multiplayer online (mmo) games on the relationship between flow and game addiction using literature-based discovery (lbd)

Wendy Hui, Wai Kwong Lau

Research output: Chapter in Book/Conference paperConference paperpeer-review

Abstract

A recent meta-analytical study reported that there appears to be a weaker correlation between flow and game addiction in players of massively multiplayer online (MMO) games. In this study, we use closed literature-based discovery (LBD) to identify factors that may explain this moderating effect.

Original languageEnglish
Title of host publicationTrends and Applications in Knowledge Discovery and Data Mining - PAKDD 2020 Workshops, DSFN, GII, BDM, LDRC and LBD, Revised Selected Papers
EditorsWei Lu, Kenny Q. Zhu
PublisherSpringer Science + Business Media
Pages20-29
Number of pages10
ISBN (Print)9783030604691
DOIs
Publication statusPublished - 2020
Event1st International Workshop on Literature-Based Discovery, LBD 2020, Workshop on Data Science for Fake News, DSFN 2020, Learning Data Representation for Clustering, LDRC 2020, 9th Workshop on Biologically Inspired Techniques for Data Mining, BDM 2020, and 1st Pacific Asia Workshop on Game Intelligence and Informatics, GII 2020, held in conjunction with the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020 - Singapore, Singapore
Duration: 11 May 202014 May 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12237 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Literature-Based Discovery, LBD 2020, Workshop on Data Science for Fake News, DSFN 2020, Learning Data Representation for Clustering, LDRC 2020, 9th Workshop on Biologically Inspired Techniques for Data Mining, BDM 2020, and 1st Pacific Asia Workshop on Game Intelligence and Informatics, GII 2020, held in conjunction with the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020
Country/TerritorySingapore
CitySingapore
Period11/05/2014/05/20

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