Group movement in World of Warcraft Battlegrounds

Miller, John L.; Crowcroft, Jon

doi:10.1504/ijamc.2010.036837

Cited by 15 publications

(8 citation statements)

References 17 publications

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“…Additional contributions are made in terms of a method for obtaining and visualizing accurate spatio-temporal data from DotA 2 [32]. The work presented extend previous work on MOBAs, and highlight the use of spatio-temporal patterns to analyze gameplay [4][5][6]. As noted in the introduction, the basic goal of the work presented here is to explore MOBAs, and work towards results and tools that will aid DotA 2 players in visualizing, analyzing and improving their performance.…”

Section: Conclusion and Discussionmentioning

confidence: 97%

“…However, some of the previous research in digital games is directly relevant to the contemporary research and bears mentioning. Miller and Crowcroft [4] examined character movement in the Arathi Basin PvP battleground of the MMOG World of Warcraft, obtaining data via mining the server-client stream (a method also used by e.g. Shim et al [19]).…”

Section: Related Workmentioning

confidence: 99%

“…The term MOBA can be used in broad sense to any game where two teams consisting of several players compete with each other to achieve a victory. This is generally achieved by eliminating the opposing teams base or via a ticker system which responds to zonal or strategic point control [4,5,6]. This is a broad definition that can include popular online team-based games such as World of Tanks and Call of Duty.…”

Section: Introductionmentioning

confidence: 99%

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Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2)

Drachen

Yancey

Maguire

et al. 2014

2014 IEEE Games Media Entertainment

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Multiplayer Online Battle Arena (MOBA) games are among the most played digital games in the world. In these games, teams of players fight against each other in arena environments, and the gameplay is focussed on tactical combat. In this paper, we present three data-driven measures of spatiotemporal behaviour in Defence of the Ancients 2 (DotA 2): 1) Zone changes; 2) Distribution of team members and: 3) Time series clustering via a fuzzy approach. We present a method for obtaining accurate positional data from DotA 2. We investigate how behaviour varies across these measures as a function of the skill level of teams, using four tiers from novice to professional players. Results from three analyses indicate that spatio-temporal behaviour of MOBA teams is highly related to team skill.

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Section: Conclusion and Discussionmentioning

confidence: 97%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2)

Drachen

Yancey

Maguire

et al. 2014

2014 IEEE Games Media Entertainment

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“…Taking advantage of the fact that bots follow a list of predetermined locations, they derive an abstracted route representation by using line simplification and clustering. Miller and Crowcroft 35 used Mitterhofer et al’s 34 approach and coupled it with the landmark detection method proposed by Thawonmas et al 36 to characterize avatar movement in World of Warcraft . Contrary to these approaches, we are not relying on traditional line simplification algorithms as these are focused on maintaining the shape and thus do not take specific properties of the movement into account (see, for example, Chen et al 37 and Andrienko et al 38 ), such as pauses which can be relevant for our purpose.…”

Section: Related Workmentioning

confidence: 99%

Automatic generation of battle maps from replay data

Wallner

2017

Information Visualization

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With the advent of online gaming, access to in-game data has become increasingly important for players as it provides great opportunities for them to reflect and improve upon their gameplay or to compare their performance with others. Some of the currently most popular games focus on strategy and tactics, requiring players to skillfully position and maneuver units in order to achieve victory in battle. However, current visualizations for retrospective analysis of battles and that are targeted toward players are mainly limited to heatmaps and hence are not well suited for conveying the flow of battle. By contrast, military planners and historians alike have long used maps to provide a concise visual overview of troop movements. In this article, we are proposing an algorithm for automatically creating such battle maps from tracked in-game data. Several parameters allow to adjust the level-of-detail in the resulting maps. To demonstrate the practicality of our approach for post hoc analysis, we apply it to actual gameplay data obtained from a massively multiplayer online game and collected preliminary feedback among players of the game through an online survey.

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“…We equipped TRACE with a statistical analyzer for newly generated traces that provides such statistical features, whose description is found in section 3.3. Miller and Crowcroft provide an analysis of avatar mobility for World of Warcraft. The analysis is focused on a particular area of the DVE where avatars battle for the control of several objectives.…”

Section: Related Workmentioning

confidence: 99%

Model driven generation of mobility traces for distributed virtual environments with TRACE

Carlini

Lulli

Ricci

2017

Concurrency and Computation

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Avatars' mobility is an essential element to design, validate, and compare different distributed virtual environment architectures. It has a direct impact on the management of such systems because it defines the workload associated with the areas in the virtual world. Currently, a relevant part of this evaluation is conducted by means of synthetic traces generated through mobility models. Despite that, in the last decade, several models have been proposed in literature to describe avatars mobility. However, a standard methodology that drives researchers in their evaluation does not yet exist. In order to alleviate this issue, we present TRACE, an open source tool supporting the generation and analysis of traces by means of embedded mobility models. TRACE's ultimate aim is to facilitate the evaluation and comparison of virtual environments and allow researchers to focus on developing their solution rather than spend time to code and test custom mobility traces. TRACE provides a unified format to describe the traces. It enables scalable and efficient trace generation and analysis for thousands of avatars with seven built-in models.Also, it defines APIs enabling the integration of additional models, different configurations of the environment, and several built-in metrics to analyze the generated traces. KEYWORDS distributed virtual environment, mobility model, multiplayer games, open source 1 INTRODUCTION On-line gaming entertainment has received lots of popularity in the last decade from both industry and research communities. This attention is justified by the economic growth of the sector, in which massively multiplayer online games such as World of Warcraft 1 or Second Life 2 represent a remarkable member. From a practical point of view, massively multiplayer online games that are large-scale distributed applications are a synchronous, persistent, and interactive virtual environment that allows a huge amount of users worldwide to share a real-time virtual environment.In these applications, each individual is in control of a virtual character called avatar. The avatar is free to move in a virtual world, perform actions, activities relative to the game, and meet other avatars.One of the largest area of research in this context is to foster the transition of virtual environments from client-server to distributed applications.Such approaches, broadly referred to as distributed virtual environments (DVEs), 3 aim at achieving scalability and cost-effectiveness, by orchestrating the support of the virtual environment to exploit the computational and network resources of the users of the DVE. Common approaches for the definition of the distributed support are based on unstructured 4,5 and structured 6,7 peer-to-peer technologies, as well as more centralized technologies like cloud computing 8 .In such distributed approaches, a user resource (ie, peer) concurrently works both as client for an (usually single) avatar and as server for a part of the virtual world. This organization allows to exploit the inherent scalabili...

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Group movement in World of Warcraft Battlegrounds

Cited by 15 publications

References 17 publications

Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2)

Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2)

Automatic generation of battle maps from replay data

Model driven generation of mobility traces for distributed virtual environments with TRACE

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