Behavioral profiles of character types in EverQuest II

Abstract

This study examines behavioral profiles of different character types in EverQuest II, a popular massively multiplayer online role-playing game (MMORPG) developed by Sony Online Entertainment. The study uses the game's player activity data to construct behavioral profiles of online game players for the applications of normal behavior recognition and anomaly detection. The behavioral profiles give insight into not only what players do in the game to level up but also how they perform on different types of task and how they work with other players. The behavioral profiles this study reports provide insight into online game player behavior, and it provides information useful for choosing a character type suitable for one's objectives in playing the game. In this study, we develop a framework for automatic behavior profiling. The proposed framework consists of the following key components; 1) segmentation analysis of historical player behaviors, 2) behavior profiling of input users (new players whose behaviors we want to label, and 3) recommendation of tasks based on input users' objectives.

Consumers’ Adoption and Use of E-Currencies in Virtual Markets in the Context of an Online Game

“…Such an example is Sony Online Entertainment-Station Exchange, which supports the game EverQuest II. Goods can be exchanged there in a fully secure environment [41].…”

Photogrammetry and GIS in Human-Occupied Digital Landscapes

“…When a player builds something in a digital space, the chances are good that natural habits will persist in the synthetic landscape, albeit confined to what is permitted by the rules of the game. Although relatively new to archaeology, research into human behavior in digital environments reflective of human behavior in the physical world frequently appears in the published research of other disciplines: anthropology (Billieux et al 2013; Boellstorff 2008), behavioral science (Braun et al 2016; Cochrane et al 2020; Shim and Srivastava 2010; Subhashree et al 2019), neuroscience (Lamb et al 2017), psychology (Halbrook et al 2019; Norman et al 2005; von der Heiden 2019), and sociology (Seay et al 2004; Williams et al 2006). Archaeologists can borrow from this field-adjacent research while also contributing to it.…”

How Playstyles Evolve: Progression Analysis and Profiling in Just Cause 2

“…Behavioral profiling in games has been explored by a number of researchers across academia and industry, providing a number of case studies showcasing how profiling can be performed using different techniques and in varied game contexts [4,7,9,10,14,16].…”

“…In the latter category, cluster algorithms [8] and other dimensional reduction techniques have been broadly applied across different game formats. Cluster analysis is an exploratory approach to building behavioral profiles, and aims at identifying groups for players with similar behaviors and identify the most important behavioral features in terms of the underlying patterns in the dataset [4,9,6,14].…”

“…The work in the above mentioned publications in turn rests on other research in game analytics focused on behavioral profiling in games, e.g. [4,6,14].…”