Video games are increasingly producing huge datasets available for analysis resulting from players engaging in interactive environments. These datasets enable investigation of individual player behavior at a massive scale, which can lead to reduced production costs and improved player retention. We present an approach for modeling player retention in Madden NFL 11, a commercial football game. O...

Automatic player detection, labeling and tracking in broadcast soccer video are significant while quite challenging tasks. In this paper, we present a solution to perform automatic multiple player detection, unsupervised labeling and efficient tracking. Players’ position and scale are determined by a boosting based detector. Players’ appearance models are unsupervised learned from hundreds of s...

We study an infinitely repeated game where two players with equal discount factors play a simultaneous-move stage game. Player one monitors the stagegame actions of player two imperfectly, while player two monitors the pure stagegame actions of player one perfectly. Player one’s type is private information and he may be a “commitment type,” drawn from a countable set of commitment types, who is...

Multi-player games are increasingly popular in the Internet. This growing interest results in the need to support a high number of participants, which raises the issue of scalability, namely in what regards the ability to offer good performance in such a large-scale setting. This paper addresses the issue of designing middleware solutions to support large-scale multi-player applications. In par...

objective: this study was performed to survey the relationship between coaches’ and athletes’ competitive anxiety, and their performance. methods: this is a descriptive correlational study performed using a demographic questionnaire, an athletic performance checklist, and sport competition anxiety test designed by martens consisting of 15 questions. the study population consisted of 540 players...

Achiever and Explorer player types are well known in MMOs and educational games. Players who enjoy being a winner, but dislike hard challenges (“Self-Validators”) are a heretofore ignored but commonly occurring player type. Self-Validators worry about and are distressed by failing. They can simply avoid playing overly difficult games for entertainment. But in a required learning game, Self-Vali...

Previous work shows that reputation results may fail in repeated games between two long-run players with equal discount factors. We restrict attention to an infinitely repeated game where two players with equal discount factors play a simultaneous move stage game where actions of player 2 are imperfectly observed. The set of commitment types for player 1 is taken as any (countable) set of finit...

Alliances often face both free-riding and hold-up problems, which undermine the effectiveness of alliances in mobilizing joint fighting effort. Despite of these disadvantages, alliances are still ubiquitous in all types of contests. This paper asks if there are non-monetary incentives to form alliances, e.g., intimidating/discouraging the single player who is left alone. For this purpose, symme...

Player modeling is the study of computational models of players in games. This includes the detection, modeling, prediction and expression of human player characteristics which are manifested through cognitive, affective and behavioral patterns. This chapter introduces a holistic view of player modeling and provides a high level taxonomy and discussion of the key components of a player’s model....

Behavioral game analytics has predominantly been confined to work on single games, which means that the cross-game applicability of current knowledge remains largely unknown. Here four experiments are presented focusing on the relationship between game ownership, time invested in playing games, and the players themselves, across more than 3000 games distributed by the Steam platform and over 6 ...