A Survey and Analysis of Techniques for Player Behavior Prediction in Massively Multiplayer Online Role-Playing Games

Harrison, Brent; Ware, Stephen G.; Fendt, Matthew William; Roberts, David L.

doi:10.1109/tetc.2014.2360463

Cited by 13 publications

(5 citation statements)

References 31 publications

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“…Another possible application of MOAG involves intelligently selecting choices in order to bring about the desired quest outcome. MOAG can be used to determine which choices a player is likely to make, which means that choices can be intelligently presented to the player in order to increase the probability that the player chooses that choice (Harrison et al. , 2015).…”

Section: Discussion and Comparisonmentioning

confidence: 99%

A research on digital learning system based on multiplayer online animation game

Liu

2022

LHT

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PurposeThis research explores the appropriateness of using a digital learning system based on a multiplayer online animated game in firefighting education and training. Use of the game improved learning was effective. It can increase learners' understanding of the taught content and their willingness to learn.Design/methodology/approachThe research applies digital learning based on a multiplayer online animated game coupled with 3D and virtual reality (VR) technology. To verify the effectiveness of this approach, participants were divided into two groups, an experimental group (using the game) and a control group (not using the game). T-tests were used to compare the learning of the two groups.FindingsFirefighting knowledge was significantly better among the experimental group than the control group. Learning was explored in three different domains: basic firefighting knowledge, fire extinguisher operation and fire source identification; the latter two showed statistically significant differences. After learners acquired knowledge from multimedia, the addition of a VR exercise effectively helped them to remember what they learned and increased their understanding of the taught content.Originality/valueThe approach proposed in this study applies digital learning via a multiplayer online animated game to explore the appropriateness of such games in firefighting education and training. Use of the game improved learning and was effective. It can not only increase learners' understanding of the taught content, but also their willingness to learn.

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Section: Discussion and Comparisonmentioning

confidence: 99%

A research on digital learning system based on multiplayer online animation game

Liu

2022

LHT

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“…This technique uses computational methods to model players in games, with the aim of understanding, characterizing, and predicting player behaviors from cognitive, affective, and behavioral aspects [83]. With the availability of large-scale data collected from MMOs, empirical game analytics based on player modeling have become widespread [12,22,25,68]. For example, studies on World of Warcraft (WoW) [6], one of the most popular MMORPGs, have shown successes in modeling player actions (trading, questing, dungeons, raiding, etc.)…”

Section: Player Behavioral Modeling In Mmosmentioning

confidence: 99%

“…to predict a player's in-game engagement [68] or progression [67]. Later, Harrison et al [22] compared various techniques to predict player achievements in WoW. Other works utilize player modeling for churn prediction in Tomb Raider [45] and Destiny [70] or game outcome prediction in League of Legends (LoL) [30,56,62] and Defense Against the Ancients 2 (DOTA2) [42,76].…”

Section: Player Behavioral Modeling In Mmosmentioning

confidence: 99%

The Gift That Keeps on Giving: Generosity is Contagious in Multiplayer Online Games

Bisberg¹,

Jiang²,

Zeng³

et al. 2022

Preprint

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Understanding social interactions and generous behaviors have long been of considerable interest in the social science community. While the contagion of generosity is documented in the real world, less is known about such phenomenon in virtual worlds and whether it has an actionable impact on user behavior and retention. In this work, we analyze social dynamics in the virtual world of the popular massively multiplayer online role-playing game (MMORPG) Sky: Children of Light. We develop a framework to reveal the patterns of generosity in such social environments and provide empirical evidence of social contagion and contagious generosity. Players become more engaged in the game after playing with others and especially with friends. We also find that players who experience generosity first-hand or even observe other players conduct generous acts become more generous themselves in the future. Additionally, we show that both receiving and observing generosity lead to higher future engagement in the game. Since Sky resembles the real world from a social play aspect, the implications of our findings also go beyond this virtual world.CCS Concepts: • Human-centered computing → Empirical studies in collaborative and social computing.

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“…As a primary focus of player-modeling research, goal recognition has been the subject of growing attention (Harrison et al 2015). Player goal recognition is the task of dynamically identifying the high-level objectives that a player is attempting to achieve based on a variety of evidence that is captured during interactions with a game.…”

Section: Introductionmentioning

confidence: 99%

Multimodal Goal Recognition in Open-World Digital Games

Min

Mott

Rowe

et al. 2021

AIIDE

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Recent years have seen a growing interest in player modeling to create player-adaptive digital games. As a core player-modeling task, goal recognition aims to recognize players’ latent, high-level intentions in a non-invasive fashion to deliver goal-driven, tailored game experiences. This paper reports on an investigation of multimodal data streams that provide rich evidence about players’ goals. Two data streams, game event traces and player gaze traces, are utilized to devise goal recognition models from a corpus collected from an open-world serious game for science education. Empirical evaluations of 140 players’ trace data suggest that multimodal LSTM-based goal recognition models outperform competitive baselines, including unimodal LSTMs as well as multimodal and unimodal CRFs, with respect to predictive accuracy and early prediction. The results demonstrate that player gaze traces have the potential to significantly enhance goal recognition models’ performance.

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A Survey and Analysis of Techniques for Player Behavior Prediction in Massively Multiplayer Online Role-Playing Games

Cited by 13 publications

References 31 publications

A research on digital learning system based on multiplayer online animation game

A research on digital learning system based on multiplayer online animation game

The Gift That Keeps on Giving: Generosity is Contagious in Multiplayer Online Games

Multimodal Goal Recognition in Open-World Digital Games

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