Exploration of Player Behaviours from Broadcast Badminton Videos

Understanding an opposing player's behaviours and weaknesses is often the key to winning a badminton game. This study presents a system to extract game data from broadcast badminton videos, and visualize the extracted data to help coaches and players develop effective tactics. Specifically, we apply state-of-the-art machine learning methods to partition a broadcast video into segments, in which each video segment shows a badminton rally. Next, we detect players' feet in each video frame and transform the player positions into the court coordinate system. Finally, we detect hit frames in each rally, in which the shuttle moves towards the opposite directions. By visualizing the extracted data, our system conveys when and where players hit the shuttle in historical games. Since players tend to smash or drop shuttles under a specific location, we provide users with interactive tools to filter data and focus on the distributions conditioned by player positions. This strategy also reduces visual clutter. Besides, our system plots the shuttle hitting distributions side-by-side, enabling visual comparison and analysis of player behaviours under different conditions. The results and the use cases demonstrate the feasibility of our system.     

The Trojan Player Typology: A cross-genre,cross-cultural,behaviorally validated scale of video game play motivations

While many video game researchers have built scales to tackle the motivations that people have for playing video games, these scales are often limited by their focus on specific game genres or player cultures as well as their lack of behavioral validation. The present research offers a new scale for player motivations and then examines its validity across two distinct gaming genres and cultures, drawing from server-side data combined with survey data of 18,627 players of the Multiplayer Online Battle Arena League of Legends and 18,819 players of the Chinese Massively Multiplayer Online Game Chevalier’s Romance Online 3. Six types of player motivations were found: socializer, completionist, competitor, escapist, story-driven, and smarty-pants. Consistent with previous research on player motivations, this typology offers new insights into why people play video games and how player motivations can be used to infer players’ in-game behaviors.     

On frame rate and player performance in first person shooter games

The rate at which frames are rendered in a computer game directly impacts player performance, influencing both the game playability and enjoyability. However, despite the importance of frame rate and the wide-spread popularity of computer games, to the best of our knowledge, there is little quantitative understanding of the effects of frame rate on player performance in computer games. This paper provides a unique classification of actions in First Person Shooter (FPS) games based on interaction requirements that allow qualitative assessment of the impact of frame rates on player performance. This qualitative assessment is supported by quantitative analysis from two large user studies that measure the effects of frame rate on the fundamental player actions in a FPS game. Nearly 100 users participated in the two user study experiments, providing performance and perception data over a range of frame rates commonly studied for video streaming and inclusive of frame rates found in many computer game platforms. In general, the analysis shows that actions that require precise, rapid response, such as shooting, are greatly impacted by degradations in frame rates, while actions with lower precision and response requirements, such as moving, are more tolerant of low frame rates. These insights into the effects of frame rates on player performance can guide players in their choice for game settings and new hardware purchases, and inform system designers in their development of new hardware.     

Influence of head-up displays’ characteristics on user experience in video games

Head-up displays (HUD) are important parts of visual interfaces of virtual environments such as video games. However, few studies have investigated their role in player–video game interactions. Two experiments were designed to investigate the influence of HUDs on player experience according to player expertise and game genre. Experiment 1 used eye-tracking and interviews to understand how and to what extent players use and experience HUDs in two types of commercial games: first-person shooter and real-time strategy games. Results showed that displaying a permanent HUD within the visual interface may improve the understanding of this environment by players. They also revealed that two HUD characteristics, namely composition and spatial organization, have particular influence on player experience. These critical characteristics were manipulated in experiment 2 to study more precisely the influence of HUD design choices on player experience. Results showed that manipulation of design of these HUD characteristics influences player experience in different ways according to player expertise and game genre. For games with HUDs that are perceived as very useful, the higher player expertise is, the more player experience is influenced. Recommendations for video game design based on these results are proposed.     

Video gameplay, personality and academic performance

The relationship between video gameplay, video game genre preference, personality, and GPA was investigated in an online correlational study with university students. In addition to administering self-report measures of GPA and personality, we asked three different questions regarding styles of video gameplay. The first asked the average time spent playing video games per week (habitual players), the second asked the total time spent playing favorite video games (selective players), and the third asked the number of different video games played in a year (diverse players). Students who were medium in selective player style (spent 11-50 h) had significantly higher GPAs than students low on selective player style (spent 0-10 h). Students high on habitual playing style (7 or more hours a week) showed significantly lower levels of Conscientiousness compared to students low on habitual playing style (0-1 h a week). Students who were high on the diverse style (i.e., 7 or more games played a year) showed significantly higher Openness scores than students low on the diverse style (0-3 games a year). Finally, several notable relations were found between video game genre preference, GPA, and personality. Results are discussed in terms of the positive implications of video gameplay on academic performance.     

Adaptive user modelling in car racing games using behavioural and physiological data

Personalised content adaptation has great potential to increase user engagement in video games. Procedural generation of user-tailored content increases the self-motivation of players as they immerse themselves in the virtual world. An adaptive user model is needed to capture the skills of the player and enable automatic game content altering algorithms to fit the individual user. We propose an adaptive user modelling approach using a combination of unobtrusive physiological data to identify strengths and weaknesses in user performance in car racing games. Our system creates user-tailored tracks to improve driving habits and user experience, and to keep engagement at high levels. The user modelling approach adopts concepts from the Trace Theory framework; it uses machine learning to extract features from the user’s physiological data and game-related actions, and cluster them into low level primitives. These primitives are transformed and evaluated into higher level abstractions such as experience, exploration and attention. These abstractions are subsequently used to provide track alteration decisions for the player. Collection of data and feedback from 52 users allowed us to associate key model variables and outcomes to user responses, and to verify that the model provides statistically significant decisions personalised to the individual player. Tailored game content variations between users in our experiments, as well as the correlations with user satisfaction demonstrate that our algorithm is able to automatically incorporate user feedback in subsequent procedural content generation.     

Constrained Games: The Impact of the Attitude to Adversary's Constraints

We consider properties of constrained games, where the strategy set available to a player depends on the choice of strategies made by other players. We show that the utilities of each player associated with that player's own performance and constraints are not sufficient to model a constrained game and to define equilibria; for the latter, one also needs to model how a player values the fact that other players meet their constraints. We study three different approaches to other players' constraints, and show that they exhibit completely different equilibrium behaviors. Further, we study a general class of stochastic games with partial information, and focus on the case where the players are indifferent to whether the constraints of other players hold.     

Video game values: Human–computer interaction and games

Current human–computer interaction (HCI) research into video games rarely considers how they are different from other forms of software. This leads to research that, while useful concerning standard issues of interface design, does not address the nature of video games as games specifically. Unlike most software, video games are not made to support external, user-defined tasks, but instead define their own activities for players to engage in. We argue that video games contain systems of values which players perceive and adopt, and which shape the play of the game. A focus on video game values promotes a holistic view of video games as software, media, and as games specifically, which leads to a genuine video game HCI.     

Towards affective camera control in games

Information about interactive virtual environments, such as games, is perceived by users through a virtual camera. While most interactive applications let users control the camera, in complex navigation tasks within 3D environments users often get frustrated with the interaction. In this paper, we propose inclusion of camera control as a vital component of affective adaptive interaction in games. We investigate the impact of camera viewpoints on psychophysiology of players through preference surveys collected from a test game. Data is collected from players of a 3D prey/predator game in which player experience is directly linked to camera settings. Computational models of discrete affective states of fun, challenge, boredom, frustration, excitement, anxiety and relaxation are built on biosignal (heart rate, blood volume pulse and skin conductance) features to predict the pairwise self-reported emotional preferences of the players. For this purpose, automatic feature selection and neuro-evolutionary preference learning are combined providing highly accurate affective models. The performance of the artificial neural network models on unseen data reveals accuracies of above 80% for the majority of discrete affective states examined. The generality of the obtained models is tested in different test-bed game environments and the use of the generated models for creating adaptive affect-driven camera control in games is discussed.     

Player–video game interaction: A systematic review of current concepts

Video game design requires a user-centered approach to ensure that the experience enjoyed by players is as good as possible. However, the nature of player–video game interactions has not as yet been clearly defined in the scientific literature. The purpose of the present study was to provide a systematic review of empirical evidences of the current concepts of player–video game interactions in entertainment situations. A total of 72 articles published in scientific journals that deal with human–computer interaction met the criteria for inclusion in the present review. Major findings of these articles were presented in a narrative synthesis. Results showed that player–video game interactions could be defined with multiple concepts that are closely linked and intertwined. These concepts concern player aspects of player–video game interactions, namely engagement and enjoyment, and video game aspects, namely information input/output techniques, game contents and multiplayer games. Global approaches, such as playability, also exist to qualify player–video game interactions. Limitations of these findings are discussed to help researchers to plan future advances of the field and provide supplementary effort to better know the role of less-studied aspects. Practical implications are also discussed to help game designers to optimize the design of player–video game interactions.     

Multi-agent simulations for the evaluation of Looting Systems design in MMOG and MOBA games

Massively Multiplayer Online Games (MMOGs) are persistent worlds where a huge number of players interact with each other in order to improve their avatar's characteristics. Multiplayer Online Battle Arenas (MOBAs) - also known as Action Real-Time Strategy (ARTS) games - are video games in which each player controls a single character in one of two competing teams; goal of the game is to destroy the antagonist team. In both genres, players’ characters typically exploit their special abilities, which contribute to the overall strategy of their faction or team. Social interactions among players are at the core of both these game types, and a careful design of the game social architecture is a key factor in determining the success of a specific product.The attention of researchers and practitioners has, till now, focused mainly on several game features, while others have been considered secondary, possibly underestimating their importance in terms of the game overall quality. For instance, in MMOGs, loot items (a type of in-game reward) are not distributed evenly, and the competition for getting the best prize, often, is left in the hands of the players. To handle this issue, players have created resource allocation algorithms called Looting Systems (LS). Generally, the adoption of a specific LS is based on a gentlemen's agreement among the players, and the respect of its outcomes largely depends on mutual trust. Quite recently, ad hoc forms of LS have been introduced also into MOBAs.This topic has received moderate attention by the scientific community, anyway, we sustain that a LS could influence the players' behaviour and, if mismanaged, possibly the survival of the whole community of players in a game. Hence, detecting and tracking the hidden social effects of apparently minor features could become a critical factor in the development of games genres which heavily depend on the quality of social interactions among players. To tackle this issue, we present a simulative study - based on Agent-Based Model (ABM) techniques - of the effects of the adoption of different LSs on heterogeneous player bases. The final goal of our study is to provide several guidelines and hints about the design of LSs to game designers working on MMOs or MOBAs.     

Is cheating a human function? The roles of presence,state hostility,and enjoyment in an unfair video game

In sports and board games, when an opponent cheats, the other players typically greet it with disdain, anger, and disengagement. However, work has yet to fully address the role of the computer cheating in video games. In this study, participants played either a cheating or a non-cheating version of a modified open-source tower-defense game. Results indicate that when a computer competitor cheats, players perceive the opponent as being more human. Cheating also increases player aggravation and presence, but does not affect enjoyment of the experience. Additionally, players that firmly believed that their opponent was controlled by the computer exhibited significantly less state hostility compared to players that were less certain of the nature of their competitor. Game designers can integrate subtle levels of cheating into computer opponents without any real negative responses from the players. The results indicate that minor levels of cheating might also increase player engagement with video games.     

Toward the construction of fun computer games: Differences in the views of developers and players

Even though most games have been developed so that users have fun, there has been little research to address the elements of games that create the perception of being fun. The objectives of this research are to focus on which features people think provide fun, and then analyse these aspects both qualitatively and quantitatively. This study first identified important design factors that may contribute to making a computer game fun, which is then organised as an analytic hierarchy. Based on the hierarchy, we surveyed both game developers and game players about how important they thought some factors are in making a game fun. The comparison between game players and developers indicates that the relative preferences about the game design factors are not the same between the two groups. This study concludes with limitations and implications of study results in the development of fun computer games     

Player trajectory reconstruction for tactical analysis

To increase the performance of sport team, the tactical analysis of team from game video is essential. Trajectories of the players are the most useful cues in a sport video for tactical analysis. In this paper, we propose a technique to reconstruct the trajectories of players from broadcast basketball videos. We first propose a mosaic based approach to detect the boundary lines of court. Then, the locations of players are determined by the integration of shape and color visual information. A layered graph is constructed for the detected players, which includes all possible trajectories. A dynamic programming based algorithm is applied to find the trajectory of each player. Finally, the trajectories of players are displayed on a standard basketball court model by a homography transformation. In contrast to related works, our approach exploits more spatio-temporal information in video. Experimental results show that the proposed approach works well and outperforms some existing technique.     

Automatic analysis and identification of verbal aggression and abusive behaviors for online social games

Online multiplayer games create new social platforms, with their own etiquette, social rules of conduct and ways of expression. What counts as aggressive and abusing behavior may change depending on the platform, but most online gaming companies need to deal with aggressive and abusive players explicitly. This usually is tied to a reporting mechanism where the offended player reports an offense. In this paper, we develop tools for validating whether a verbal aggression offense report refers to a real offense or not, in the context of a very popular online social game, called Okey. Our approach relies on the analysis of player behavior and characteristics of offending players. In the proposed system, chat records and other social activities in the game are taken into account, as well as player history. This methodology is sufficiently generic, and it can be applied to similar gaming platforms, thus describing a useful tool for game companies. We report our results on data collected over a six months period, involving 100,000 users and 800,000 game records, and illustrate the viability of such analysis, while providing insights on the factors associated with verbal aggression and abusive behavior for social games.     

Goal setting outcomes: Examining the role of goal interaction in influencing the experience and learning outcomes of video game play for earthquake preparedness

Video game goals are important features of video games. Player’s interaction with goals can not only shape the gaming experience by evoking cognitive and affective reactions in players, but also lead to learning outcomes. However, there are few empirical studies on the effects of interacting with game goals, and no previous research has manipulated goal setting. In two experimental studies, participants were randomly assigned to one of the following five conditions: self-set goal repetitive play, assigned goal repetitive play, no-set goal repetitive play, no-set goal single play, and no play. Results show that playing earthquake preparedness video games generates significant learning outcomes; playing repeatedly with self-set goals yields greater learning compared to playing once with no-set goals or not playing; and cognitive reactions mediates the relation between goal interaction and learning. Implications of the results for the design and evaluation of future video games for learning are explored.     

Playing for social comfort: Online video game play as a social accommodator for the insecurely attached

Internet connectivity has changed the way video games are played by allowing individuals to connect worldwide in shared gaming spaces. These highly social environments allow players to connect, interact with, and learn from each other. However, there is a growing concern that these social environments also have the potential to displace real-world connections and interactions, contributing to a variety of losses in ‘offline’ sociability. The current study aims to elucidate what users may be gaining or losing (socially) as a result of continued participation in online video game environments, and what potentially underlies these social changes, by examining the associations between social skills and online video game involvement through the perspective of attachment theory. The results challenge the assumption that online video game play is inexorably associated with negative social consequences for the player and indicates the potential for online gaming spaces to serve critical attachment functions by providing a social outlet that promotes a sense of closeness, belonging, and security that satisfies attachment needs for those high in attachment avoidance.     

A game attention model for efficient bit rate allocation in cloud gaming

The widespread availability of broadband internet access and the growth in server-based processing have provided an opportunity to run games away from the player into the cloud and offer a new promising service known as cloud gaming. The concept of cloud gaming is to render a game in the cloud and stream the resulting game scenes to the player as a video sequence over a broadband connection. To meet the stringent network bandwidth requirements of cloud gaming and support more players, efficient bit rate reduction techniques are needed. In this paper, we introduce the concept of game attention model (GAM), which is basically a game context-based visual attention model, as a means for reducing the bit rate of the streaming video more efficiently. GAM estimates the importance of each macro-block in a game frame from the player’s perspective and allows encoding the less important macro-blocks with lower bit rate. We have evaluated nine game video sequences, covering a wide range of game genre and a spectrum of scene content in terms of details, motion and brightness. Our subjective assessment shows that by integrating this model into the cloud gaming framework, it is possible to decrease the required bit rate by nearly 25 % on average, while maintaining a relatively high user quality of experience. This clearly enables players with limited communication resources to benefit from cloud gaming with acceptable quality.     

Lost at the Edge of Uncertainty: Measuring Player Uncertainty in Digital Games

Uncertainty has previously been identified as an important ingredient of engaging games. Design in games can create different levels of uncertainty in players that they can recognize and describe as being either attributable to external forces, such as chance or hidden information, or internal to their own understanding of what to do in relation to their own goals. While it appears that uncertainty can contribute both positive and negative play experiences, there is little work in trying to operationalize and measure this concept as a component of player experience. Reported in this article is an analysis of data from over 700 players using modern bi-factor analysis techniques resulting in a five factor psychometric scale which captures the broad feelings of players about uncertainty in games. Three of these specific factors appear to point toward a single generic factor of uncertainty that is internal to the players, one captures experiences relating to external uncertainty, with the final factor relating to player’s experience of exploring the game to resolve uncertainty. In order to further validate the scale, we conducted an experiment with a commercial puzzle game manipulating the duration of play with predicted outcomes on the different specific factors of the scale. Overall the scale shows promise with good statistical reliability and construct validity of the separate factors and so will be a useful tool for further investigating player experiences in digital games.     

What's in a name? Ages and names predict the valence of social interactions in a massive online game

Multi-player online battle arena games (MOBAs) are large virtual environments requiring complex problem-solving and social interaction. We asked whether these games generate psychologically interesting data about the players themselves. Specifically, we asked whether user names, which are chosen by players outside of the game itself, predicted in-game behaviour. To examine this, we analysed a large anonymized dataset from a popular MOBA (‘League of Legends’) – by some measures the most popular game in the world.We find that user names contain two pieces of information that correlate with in-game social behaviour. Both player age (estimated from numerical sequences within name) and the presence of highly anti-social words are correlated with the valences of player/player interactions within the game.Our findings suggest that players' real-world characteristics influence behaviour and interpersonal interactions within online games. Anonymized statistics derived from such games may therefore be a valuable tool for studying psychological traits across global populations.