People are drawn to play different types of videogames and find enjoyment in a range of gameplay experiences. Envisaging a representative game player or persona allows game designers to personalize game content; however, there are many ways to characterize players and little guidance on which approaches best model player behavior and preference. To provide knowledge about how player characteris...

The developers of Massively Multiplayer Online Games (MMOGs) rely on attractive content such as logical challenges (puzzles) to entertain and generate revenue from millions of concurrent players. While a large part of the content is currently generated by hand, the exponentially increasing number of players and their new demand for player-customized content have made manual content generation u...

Social aspects of multiplayer games are well known as contributors to game success, with online friendships and socialization expected to expand and strengthen a player-base. Understanding the nature of social behavior and determining the impact of cooperation on gameplay is thus important to game design. Here we make use of the data exposed through the public interface of a contemporary first-...

Virtual worlds and massively multi-player online games are rich sources of information about large-scale teams and groups, offering the tantalizing possibility of harvesting data about group formation, social networks, and network evolution. However these environments lack many of the cues that facilitate natural language processing in other conversational settings and different types of social...

We present a preliminary user study in an e-learning environment aimed to adapt and validate generic mechanics and player types proposed in the gamification literature. We incorporate well-known gamification mechanics into a number learning activities, implemented them as functionalities of an e-learning system, and investigate the learning effectiveness of the proposed mechanics, as well as th...

We define a concept of epistemic robustness in the context of an epistemic model of a finite normal-form game where a player type corresponds to a belief over the profiles of opponent strategies and types. A Cartesian product X of pure-strategy subsets is epistemically robust if there is a Cartesian product Y of player type subsets with X as the associated set of best reply profiles such that t...

Player classification allows for considerable improvements on both game analytics and game adaptivity. With this paper we aim at reversing the ad-hoc tendency in player classification methods, by proposing an approach to player classification that can be integrated across different games and genres and is particularly suited to be used by game designers. This paper describes our generic method ...

In a two player game, the choices of our player can be modeled by angelic nondeterminism and those of our opponent by demonic nondeterminism. In this paper, we introduce some notations and semantics to MartinLöf's theory of types which facilitate the use of angelic and demonic interpretations of nondeterminism in type theoretical specifications. Using the proposed, nondeterministic constructs, ...

For many multi-part visual object classes, the set of parts can vary not only in location but also in type. For example, player formations in American football involve various subsets of player types, and the spatial constraints between players depend largely upon which subset of player types constitutes the formation. In this paper, we consider the problem of learning to jointly localize and c...

A protocol for considering decoherence in quantum games is presented. Results for general two-player, twostrategy quantum games subject to decoherence are derived and some specific examples are given. Decoherence in other types of quantum games is also considered. As expected, the advantage that a quantum player achieves over a player restricted to classical strategies is diminished for increas...