Gameplay Styles Research Articles

Analisis dan Rekomendasi Character Pada Game Genshin Impact Berdasarkan Revenue Banner Menggunakan Algoritma Clustering

In the era of video game industry development, optimizing monetization within games has become a primary concern for developers. Analyzing revenue data from banner characters and categorizing characters are relevant steps, especially for players who are new to the game. This involves providing character recommendations based on the income generated from game banners. The main issue faced by players is the difficulty in choosing the right banner characters to invest in, considering that each banner features different characters with varying appearance statistics. Additionally, players need guidance in identifying characters with the most potential to enhance their performance. The approach employed in this research involves using Clustering Algorithms to group characters based on factors relevant to banner income, including character popularity, availability in banners, and their unique abilities. Detailed transaction data analysis in the game is conducted using K-Means Clustering and Hierarchical Clustering algorithms to generate character groups. The research results demonstrate that employing clustering algorithms produces character groups that provide insights for players to consider allocating their resources to characters categorized in high-income or low-income groups. By using character recommendations based on these groups, players can be guided to select characters that align with their preferences and gameplay styles.

Gameplayowe transgresje w grach cyfrowych


 
 
 The latest and increasingly sophisticated digital simulations, often set in fantastical worlds, have become like laboratories in which players/ audiences can test their knowledge of culture, their ethical beliefs, interpretive skills, and anthropological imaginations. The article looks at games not just through the lens of their programmed poetics, but rather as laboratories in which experimentation becomes one of the elements of play, and gameplay touches the essence of the game – the activity, which is defined as dynamic competition within an adopted convention. One example of such experimentation is the transgressive way of conducting gameplay. However, creating a detailed typology of all possible transgressive gameplay is clearly not feasible, especially when taking into account accidental situations, such as when a player exploits a loophole or error in the programmed process without realizing that they are intentionally bypassing solutions designed by the creators. Nonetheless, intentional actions can be characterized in terms of three basic aspects – ingression (e.g., interference with computer programs), progression (e.g., fastrun, bypassing, etc.), and regression (transpositions, refunctionalizations, etc.). They concern both evidence of specific intentions and reveal ways of breaking rules, introducing one’s own rules, or forcing one’s own gameplay style.
 
 

The Intelligence of Player Habits and Reflexivity in Magic: The Gathering Arena Limited Draft

This paper considers how players of Magic: The Gathering (MTG) limited draft turn their acquired gameplay style or disposition (their MTG “gamer habitus”), with respect to drafting, into an object of knowledge. This is done in order to then consciously rework it, to respond to new formats and to the changing metagame. I will focus on a particular case study: how streamer Chord_O_Calls' instructional video shows his own re-evaluation of certain cards. Evidently, it is a process requiring reflexivity, although I aim to be specific with regard to the particular “form of reflexivity” involved. I distribute this outward to the MTG “habit assemblage” (an ensemble of techniques, things, relations) and argue that any individual player's instantiation of this reflexivity involves a practice-based synthesis of paratexts from the MTG habit assemblage that is not codified but is shaped by the assemblage. This leads to a consideration of the “intelligence” and limits of not only particular habits but that of the MTG “habit assemblage” itself. I argue that the broader socio-technical significance of the form of reflexivity that is being proliferated here is one which is defined by its flexibility, by an attentional style of delayed and shifting categorization.

Modelling Core Personality Traits Behaviours in a Gamified Escape Room Environment

Personality Traits are one of the most important aspects of human behaviour analysis that can be widely used in a plethora of scientific fields. Nowadays, a variety of industries use self-assessment techniques to evaluate their employees or candidates to form effective teams based on the relationships between the personnel. The Big Five personality traits, also known as the OCEAN Five model, encompass an individual’s behaviour on five factors: Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. Currently, the evaluation is based on questionnaires, which are prone to subjectivity and can be biased. In this paper, we analyse the behaviours on which each trait is based, in a series of 3D Escape Rooms with the aim of collecting metrics in a number of settings/situations to effectively assess them, with the use of gamification. Each Escape Room has unique features and simulates special occasions to monitor the player's reactions as well as gameplay style to generate specific models that calculate the level of each personality trait. The final profiling, however, is based on a combination of metrics from the different rooms since the behaviours are common and overlap with each other but can be evaluated in different situations. Results validate the mathematical models of metrics for each behaviour and crystallise the nature of the situations in which these behaviours can be modelled. Therefore, through gamification, a new generic model for categorising players, based on the Ocean five personality trait model, is generated.

Cross‐cultural mobile game evaluation shows improvement in environmental learning, but not behavior

AbstractGames have a wide range of potential uses, from mediating conservation conflicts to changing behaviors. However, there have been few impact evaluations of serious games published in the environmental field. We conducted the first cross‐cultural evaluation of an environmental mobile game, Save The Purple Frog. In a randomized control trial with both UK and Indian participants, we found very strong evidence that Save The Purple Frog had a positive impact on learning (effect size 0.62, p = 0.0001), but no evidence that it affected behaviors or attitudes. Our study contributes to the evidence base for environmental serious games, demonstrating their potential as an engaging tool for environmental education. We suggest examining the impact of longer gameplay as a future research direction, as well as exploring different gameplay styles.

All-NBA Teams’ Selection Based on Unsupervised Learning

All-NBA Teams’ selections have great implications for the players’ and teams’ futures. Since contract extensions are highly related to awards, which can be seen as indexes that measure a players’ production in a year, team selection is of mutual interest for athletes and franchises. In this paper, we are interested in studying the current selection format. In particular, this study aims to: (i) identify the factors that are taken into consideration by voters when choosing the three All-NBA Teams; and (ii) suggest a new selection format to evaluate players’ performances. Average game-related statistics of all active NBA players in regular seasons from 2013-14 to 2018-19, were analyzed using LASSO (Logistic) Regression and Principal Component Analysis (PCA). It was possible: (i) to determine an All-NBA player profile; (ii) to determine that this profile can cause a misrepresentation of players’ modern and versatile gameplay styles; and (iii) to suggest a new way to evaluate and select players, through PCA. As the results of this paper a model is presented that may help not only the NBA to better evaluate players, but any basketball league; it also may be a source to researchers that aim to investigate player performance, development, and their impact over many seasons.

The Wide, the Deep, and the Maverick

Although player performance in online games has been widely studied, few studies have considered the behavioral preferences of players and how they impact performance. In a competitive setting where players must cooperate with temporary teammates, it is even more crucial to understand how differences in playing style contribute to teamwork. Drawing on theories of individual behavior in teams, we describe a methodology to empirically profile players based on the diversity and conformity of their gameplay styles. Applying this approach to a League of Legends dataset, we find three distinct types of players that align with our theoretical framework: generalists, specialists, and mavericks. Importantly, the behavior of each player type remains stable despite players becoming more experienced. Additionally, we extensively investigate the benefits and drawbacks of each type of player by evaluating their individual performance, contribution to the team, and adaptation to changes in the game environment. We find that, overall, specialists tend to outperform others, while mavericks bear high risk but also potentially reap great rewards. Generalists are the most resilient to instability in the environment (game patches). We discuss the implications of these findings in terms of game design and community management, as well as team building in environments with varying levels of stability.

How to Catch ’Em All? An Investigation of Personality and Gameplay Styles in Pokémon GO

Abstract Pokémon GO is a 2016, augmented reality (AR) video game requiring players to move around in the real world and catch Pokémon to complete their collection. Examining different gameplay styles and user psychology in AR games can provide important insights for gameplay design. As multiple self- and other-beneficial strategies can be used to advance in the game, the present study investigated personality and behavioral correlates of four kinds of gameplay: independent, social-dependent, active, and invested. A multinational sample of current Pokémon GO players was recruited (N = 516, Mage = 28.83 years, SD = 9.25) and responded to measures of bright and dark personality traits, as well as a questionnaire on Pokémon GO gameplay behaviors. Results indicated that older players and those with multiple accounts were more likely to engage in most forms of gameplay; further, women were less likely to be active players. Among personality traits, psychopathy was a strong predictor of independent, social-dependent, and invested gameplay; agreeableness explained social-dependent strategies in line with social exchange theory; conscientiousness was associated with being a regular player; and fairness contributed to spending more money on the game (invested gameplay). Limitations and suggestions for future research are discussed.

Contingencies in Behavioral Mode : Enhancing Player’s Adaptive Ability

Metamorph is a stealth action RPG with bvoth open world and mission-based settings. Adopting the elements of cyberpunk and capitalistic system with immense number of AIs, this game is set in a futuristic-style city with four main districts, each with different culture and building design. The player will play as Centauri, a cyborg who joins Private Sector Resistance in order to stop the Private Sector that produces war machines which are in form of droids with artificial intelligence from colonizing the world. There is a wide range of enemy types, two gameplay styles and various game mechanics in order to complete the missions, this game focuses on player’s adaptive and cognitive abilities throughout the levels.

The Regional Differences in Game-Play Styles Considering Playing Position in the FIBA Female Continental Basketball Competitions.

The aim of this study was to identify regional differences based on playing position in terms of the technical performances among FIBA Female Continental Basketball Championships by controlling the influence of situational variables including the game outcome, game type, teams and opponent quality. The samples comprised of 9208 performance records from 471 games in the America, Africa, Asia and Europe Championships during 2013–2017 and were collected and analyzed by generalized mixed linear modeling. Our study highlighted that, although positional differences were clear among different continental championships, it is worth noting that African guards, forwards, and centers made more turnovers (TOV) compared with the corresponding positional players from other continental championships. In addition, European guards presented the lowest number of steals (STL) compared with African (ES = 0.28), Asian (ES = 0.21), and American guards (ES = 0.24). The results provide coaches to have a better understanding of game-play styles among FIBA Female Continental Basketball Competitions, which could optimize the development of female basketball and the selection and recruitment of female players at the international level.

EmoFindAR: Evaluation of a mobile multiplayer augmented reality game for primary school children

Games are powerful generators of positive emotions in children and are intrinsically satisfying. In this context, our work evaluates the use of mobile augmented reality without markers as the technology to implement a multiplayer game scenario that can be used to improve socialization, communication skills and emotional intelligence in primary school children. The present study addresses the usability of two gameplay styles and their impact on users' communication and motivation: competitive vs collaborative play. The game integrates Mobile Augmented Reality (MAR) technology without markers to create a geolocation scenario with unlimited physical space. The results indicate that both game modes are intrinsically satisfactory for children triggering positive emotions such as enthusiasm, enjoyment and curiosity that improve the participants’ mood and help increase the degree of involvement. Moreover, we observed that the collaborative game version has a greater impact on emotional affection, social interaction and interest. In addition, we observed in our study that the quality of the communication in the collaborative mode is good in terms of several factors such as sustaining mutual understanding, dialogue management, information pooling, reaching consensus, time management and reciprocal interaction. Finally, several design implications and suggestions related to game time management, scaffolding, mixed competitive-collaborative modes, dynamic 3D content and active learning, among others, are discussed. The present evaluation contributes to the identification of the most relevant aspects to be considered in the future design of MAR-based gamification strategies in education.

Development of a Mobile Game to Influence Behavior Determinants of HIV Service Uptake Among Key Populations in the Philippines: User-Centered Design Process.

BackgroundOpportunities in digital distribution place mobile games as a promising platform for games for health. However, designing a game that can compete in the saturated mobile games market and deliver persuasive health messages can feel like an insurmountable challenge. Although user-centered design is widely advocated, factors such as the user’s subject domain expertise, budget constraints, and poor data collection methods can restrict the benefits of user involvement.ObjectiveThis study aimed to develop a playable and acceptable game for health, targeted at young key populations in the Philippines.MethodsAuthors identified a range of user-centered design methods to be used in tandem from published literature. The resulting design process involved a phased approach, with 40 primary and secondary users engaged during the initial ideation and prototype testing stages. Selected methods included participatory design workshops, playtests, playability heuristics, and focus group discussions. Subject domain experts were allocated roles in the development team. Data were analyzed using a framework approach. Conceptual frameworks in health intervention acceptability and game design guided the analysis. In-game events were captured through the Unity Analytics service to monitor uptake and game use over a 12-month period.ResultsEarly user involvement revealed a strong desire for online multiplayer gameplay, yet most reported that access to this type of game was restricted because of technical and economic constraints. A role-playing game (RPG) with combat elements was identified as a very appealing gameplay style. Findings guided us to a game that could be played offline and that blended RPG elements, such as narrative and turn-based combat, with match-3 puzzles. Although the game received a positive response during playtests, gameplay was at times perceived as repetitive and predicted to only appeal to casual gamers. Knowledge transfer was predominantly achieved through interpretation of the game’s narrative, highlighting this as an important design element. Uptake of the game was positive; between December 1, 2017, and December 1, 2018, 3325 unique device installs were reported globally. Game metrics provided evidence of adoption by young key populations in the Philippines. Game uptake and use were substantially higher in regions where direct engagement with target users took place.ConclusionsUser-centered design activities supported the identification of important contextual requirements. Multiple data collection methods enabled triangulation of findings to mediate the inherent biases of the different techniques. Game acceptance is dependent on the ability of the development team to implement design solutions that address the needs and desires of target users. If target users are expected to develop design solutions, they must have adequate expertise and a significant role within the development team. Facilitating meaningful partnerships between health professionals, the games industry, and end users will support the games for health industry as it matures.

Analysis of Agent Expertise in Ms. Pac-Man Using Value-of-Information-Based Policies

Conventional reinforcement learning methods for Markov decision processes rely on weakly-guided, stochastic searches to drive the learning process. It can therefore be difficult to predict what agent behaviors might emerge. In this paper, we consider an information-theoretic cost function for performing constrained stochastic searches that promote the formation of risk-averse to risk-favoring behaviors. This cost function is the value of information, which provides the optimal trade-off between the expected return of a policy and the policy's complexity; policy complexity is measured by number of bits and controlled by a single hyperparameter on the cost function. As the policy complexity is reduced, the agents will increasingly eschew risky actions. This reduces the potential for high accrued rewards. As the policy complexity increases, the agents will take actions, regardless of the risk, that can raise the long-term rewards. The obtainable reward depends on a single, tunable hyperparameter that regulates the degree of policy complexity. We evaluate the performance of value-of-information-based policies on a stochastic version of Ms. Pac-Man. A major component of this paper is the demonstration that ranges of policy complexity values yield different game-play styles and explaining why this occurs. We also show that our reinforcement-learning search mechanism is more efficient than the others we utilize. This result implies that the value of information theory is appropriate for framing the exploitation-exploration trade-off in reinforcement learning.

Acute and long-lasting cortical thickness changes following intensive first-person action videogame practice

Recent evidence shows how an extensive gaming experience might positively impact cognitive and perceptual functioning, leading to brain structural changes observed in cross-sectional studies. Importantly, changes seem to be game-specific, reflecting gameplay styles and therefore opening to the possibility of tailoring videogames according to rehabilitation and enhancement purposes. However, whether if such brain effects can be induced even with limited gaming experience, and whether if they can outlast the gaming period, is still unknown. Here we quantified both cognitive and grey matter thickness changes following 15 daily gaming sessions based on a modified version of a 3D first-person shooter (FPS) played in laboratory settings. Twenty-nine healthy participants were randomly assigned to a control or a gaming group and underwent a cognitive assessment, an in-game performance evaluation and structural magnetic resonance imaging before (T0), immediately after (T1) and three months after the end of the experiment (T2). At T1, a significant increase in thickness of the bilateral parahippocampal cortex (PHC), somatosensory cortex (S1), superior parietal lobule (SPL) and right insula were observed. Changes in S1 matched the hand representation bilaterally, while PHC changes corresponded to the parahippocampal place area (PPA). Surprisingly, changes in thickness were still present at T2 for S1, PHC, SPL and right insula as compared to T0. Finally, surface-based regression identified the lingual gyrus as the best predictor of changes in game performance at T1. Results stress the specific impact of core game elements, such as spatial navigation and visuomotor coordination on structural brain properties, with effects outlasting even a short intensive gaming period.

Towards a Trait Model of Video Game Preferences

ABSTRACTTypologies for understanding players’ preferences toward different gameplay styles have gained popularity in research. However, attempts to model players’ preferences are based on type models instead of trait models, contrary to the latest personality research. One such model, BrainHex, was designed as an interim model to enable investigations toward a definitive player trait model. However, it lacks empirical validation in support of its psychometric properties. The present work analyzed a dataset with over 50,000 respondents to devise a player traits model based off the BrainHex scale. Results indicate three player traits: action, esthetic, and goal orientation. Furthermore, we analyzed the games listed by participants as examples of what they enjoy, to understand which factors influence player preferences. Results illustrate that the emergent player traits and participants’ genders and attitudes toward story can partially explain player preferences toward certain games. Finally, we present the implications toward a definitive player traits model.

Designing a Virtual-Reality-Based, Gamelike Math Learning Environment

ABSTRACTThis exploratory study examined the design issues related to a virtual-reality-based, gamelike learning environment (VRGLE) developed via OpenSimulator, an open-source virtual reality server. The researchers collected qualitative data to examine the VRGLE’s usability, playability, and content integration for math learning. They found it important to design an intuitive game-control and interaction interface, plot playability via the combination of enjoyable virtual reality features and the rewarding mechanism, create intrinsic and balanced content-gameplay integration, and adapt to different gameplay styles. Participants found the VRGLE engaging and instructive in teaching fractions.

Personality, motivations, and information quality: A comparative study across games for human computation

ABSTRACTThe popularity of games has motivated their adoption for pursuits beyond entertainment. One of the emerging strategies is the Human Computation Game (HCG) which channels players' time spent on games toward problem solving. Unlike entertainment‐oriented games, players of HCGs contribute output as a byproduct of gameplay. In this paper, we investigate the relationships between personality traits and motivations, and the differences in perceived information quality across HCGs with collaborative and competitive gameplay styles. Using a within‐subjects experimental design, 125 participants were recruited from two local universities. The findings demonstrate that the interaction between personality traits and gameplay styles influenced players' satisfaction of the need for autonomy, competence, and relatedness,. Further, perceived information quality was found to differ across HCG types.

The enjoyment of griefing in online games

Abstract This article expands on the use of self-determination theory (SDT) as an explanation for enjoyment in video games. Two different types of players with contrasting gameplay styles were examined and compared using the theory: griefers, who enjoy engaging in activities meant to disrupt other players’ game experience, and more community-focused players. A two-condition experiment (randomly assigning respondents to complete different survey prompts) was used to examine griefers’ satisfaction of SDT needs compared to their levels of enjoyment when griefing others and if their gameplay style hinders their enjoyment or not when compared to community players. Results support the relationship between SDT need satisfaction and enjoyment, and indicate that griefers enjoy their gameplay style as much as community-based players, despite the antisocial nature of the gameplay style resulting in differing levels of need satisfaction. The results show the relationship between the three SDT needs and enjoyment based on an emphasis on the importance players place on individual needs.

Adapting virtual camera behaviour through player modelling

Research in virtual camera control has focused primarily on finding methods to allow designers to place cameras effectively and efficiently in dynamic and unpredictable environments, and to generate complex and dynamic plans for cinematography in virtual environments. In this article, we propose a novel approach to virtual camera control, which builds upon camera control and player modelling to provide the user with an adaptive point-of-view. To achieve this goal, we propose a methodology to model the player’s preferences on virtual camera movements and we employ the resulting models to tailor the viewpoint movements to the player type and her game-play style. Ultimately, the methodology is applied to a 3D platform game and is evaluated through a controlled experiment; the results suggest that the resulting adaptive cinematographic experience is favoured by some player types and it can generate a positive impact on the game performance.

Students’ behaviour playing an online information literacy game

This paper describes how college students played the web-based BiblioBouts Information Literacy (IL) game, which ushers players through the library research process while they complete a research-and-writing assignment. The game teaches students basic IL skills including creating citations, judging citation completeness, assessing author expertise, assessing source relevance and credibility, judging quality, and assessing accuracy. BiblioBouts’ collaborative and social mechanisms help students leverage their own research efforts in finding sources, evaluating their usefulness, and choosing the best sources, with their classmates’ efforts so that everyone benefits. Players benefit from receiving hands-on practice and experience with the wide range of information literacy (IL) skills that confront them during the process from conducting library research to completing writing assignments. Both quantitative and qualitative game-play data were gathered from game-play logs, game diaries, focus group interviews with student game players, and personal interviews with instructors. These data were analyzed to determine typical game-play styles, how long students played the game, and the impact of scoring on the way the students played the game and engaged in IL activities. The results were used to improve game mechanics and player engagement. The R&D team’s experience building an online, interactive IL game demonstrates that game design must first focus on evaluations of player behavior followed by game-system improvements that are expected to affect the desired game-play behavior. The BiblioBouts game presents an innovative method for learning IL competencies and is unique in its social, collaborative, and interactive approach to educational gaming. It is hoped that this article will encourage IL librarians to explore games and other alternative forms of IL instruction.