Group items tagged

Abstract: "This paper proposes a new framework for automated analysis of game-play metrics for aiding game designers in nding out the critical aspects of the game caused by factors like design modications, change in playing style, etc. The core of the algorithm measures similarity between spatial distribution of user generated in-game events and automatically ranks them in order of importance. The feasibility of the method is demonstrated on a data set collected from a modern, multiplayer First Person Shooter, together with application examples of its use. The proposed framework can be used to accompany traditional testing tools and make the game design process more efficient."

"This paper describes design issues surrounding "Data Games," small-scale, short web-based games that generate data for analysis in mathematics or statistics classes. The games are embedded in a data analysis environment. We discuss design for the games themselves as well as some curriculum and assessment issues."

Abstract: "This paper presents data analysis from a course on Software Engineeri ng in an effort to identify metric s and techniques that would allow instructor to act proactively and identify patterns of low engagement and inefficient peer collaboration . Over the last two terms, 106 students in their second year of studies formed 20 groups and worked collaboratively to develop video games. Throughout the lab, students have to use a variety of tools for managing and developing their projects, such as software version control , static analysis tools , wikis, mailing lists, etc . The students are also supported by weekly meet ings with teaching assistants and instructors regarding group progress, code quality, and management issues. Through these meeting s and their interactions with the software tools, students leave a detailed trace of data related to their individual engageme nt and their collaboration behavior in their groups . The paper provides discussion on the different source of data that can be monitored , and present preliminary results on how the s e data can be used to analyze students' activity."

Abstract :"Immigrants entering the European Community face a range of challenges in adapting to and understanding the culture of their host nation. Failure to address these challenges can lead to isolation and difficulties integrating into the society of the host country, leading to fragmented communities and a range of social issues . As part of a comprehensive suit e of services for immigrants , the European - funded M obile Assistance for Social Inclusion and Empowerment of Immigrants with Persuasive Learning Technologies and Social Network Services (MASELTOV) project seeks to provide both practical tools and le arning services via mobile devices, providing a readily usable resource for immigrants . In this workshop paper, the game - based learning aspect of the MASELTOV project is introduced, with the rationale behind its design presented. In doing so, the b enefits and implications of mobile platforms and emergent dat a capture techniques for game - based learning are discussed, as are methods for putting engaging gameplay at the forefront of the experience whilst relying on rich data capture and analysis to pro vide an effective learning solution. Through comparison to several other projects, a number of recommendations are put forward for games deployed in contexts similar to that of MASELTOV: a focus on establishing a significant audience with which to conduct ethical research into efficacy, the need for robust pedagogical frameworks suited to the learning context, and the evolution of methods for data capture and analysis of player activity."

Abstract: "We describe an approach to using standard data mining algorithms to help analyse recurring themes in game design across several games, and to help suggest novel game design ideas. This is illustrated with the analysis of 119 different resource systems across 20 games. Clustering is used to validate the assignment of resources into archetypes; frequent pattern mining is used to find commonly co-occurring resource attributes; and decision tree induction is used to visualize the relations between resource archetypes. We discuss the relation between qualitative and quantitative analysis of game design and suggest that qualitative analysis is necessary but that quantitative methods can be of invaluable help."

Abstract: "HCI scholars have been among those attracted to the study of online, computer-supported gaming. "Big Data" approaches, which analyze electronic traces left by game play, are an increasingly popular way to study it. This paper identifies basic epistemological problems in some such approaches, focusing on those that implicitly depend on the assumption that game play is fundamentally the same as other social activity. The paper explains why this and related assumptions are questionable, and why these Big Data approaches cannot establish their validity on their own. The paper then reports some results of a preliminary ethnographic study of Massive Multiplayer Online Games (MMOGs), in order to illustrate a way that ethnography can provide an initial purchase on how the underlying similarity/dissimilarity issue can be studied. It concludes by explaining how methodological triangulation, involving a dialectical discourse between ethnography, on the one hand, and Big Data and similar approaches, on the other, may be able to place Game Studies on a firmer epistemological foundation. It is the attempt to achieve such significant objectives, in particular to justify a foundational critique of a major new development in Game Studies, and to do so in a single paper, that justify inclusion of the paper in alt.chi. "

Abstract: "The video game industry is a billion dollar industry with an ever-growing fan base. Massachusetts, along with other states, has begun to take an interest in further developing this dynamic industry. A problem facing many policy makers and economic developers is accurately defining the video game industry, determining the types of workers that form of human capital within its workforce and where these businesses are located. This study helps to solve this problem by converting video game credits, found in all video games, into Standard Occupational Codes to identify the types of workers who comprise the industry and by conducting spatial analysis using Public Use Microdata Samples (PUMS). It also uses the Occupational Information Network to evaluate what forms of human capital comprises the video game industry. The results show the video game workforce comprises both creative workers such as artists and musicians, but also computer programmers, engineers, and business management and marketing professionals. This workforce tends to be concentrated not only in larger U.S. metropolitan areas but also in regions with a significant high-technology workforce, college towns, and government laboratories. Also, as this diverse workforce contains a wide variety of skills and abilities, a common theme is being able to work together as a team to develop a product. This study is part of a growing body of research and initiatives to identify and to locate new, creative industries within metropolitan regions. This research will contribute to future research using occupational analysis to identify new and growing industries."

Abstract: "Player metrics are an invaluable resource for game designers and QA analysts who wish to understand players, monitor and improve game play, and test design hypotheses. Usually such metrics are collected in a straightforward manner by passively recording players; however, such an approach has several potential drawbacks. First, passive recording might fail to record metrics which correspond to an infrequent player behavior. Secondly, passive recording can be a costly, laborious, and memory intensive process, even with the aid of tools. In this paper, we explore the potential for an active approach to player metric collection which strives to collect data more efficiently, and thus with less cost. We use an online, iterative approach which models the relationship between player metrics and in-game situations probabilistically using a Markov Decision Process (MDP) and solves it for the best game configurations to run. To analyze the benefits and limitations of this approach, we implemented a system, called GAMELAB, for recording player metrics in Second Life."

"Digital technology empowers one to access vast amounts of on-line data. From a learning perspective, however, it is difficult to access meaningful on-site information within a given context. The Hypercontextualized Game (HCG) design model interweaves on-site resources, translated as content, and the digital game. As a local game design process, HCG builds on the resources available on-site (context) and transfers them beyond their origin (hyper). A successful example is the HCG stories in LieksaMyst, an application developed for the Pielinen Museum, in which the player is guided through a series of activities by a virtual host from the historic past. It took three years of extensive work and research for the LieksaMyst HCG stories to mature from brainstorming concepts to a fully-fledged museum service. Curators, educational technology experts and a total of 476 visitors (from 6 to 77 years old) contributed to the design process. The analysis of the context and feedback from the visitors enabled us to choose media, content and activities suitable to the Pielinen Museum. Our findings indicate that quality time, sincere reflection and communication between local experts and potential players, are indispensable when designing a HCG based game. The analysis benefits researchers and practitioners who are interested in the ways in which a game can bridge the gap between people and relevant on-site information"

Abstract: "Serious Games are increasingly used as a tool for various applications contrary to the traditional enterta inment purpose. Many game engines are available, and Unity3D is another example that presents some features such as rapid prototyping and an easy learning curve. The 3D space where action takes place is sometimes hard to map into a logical memory structure providing flexible access to that information. The problem of tracking players ' path as well as their decision s in 3D environments arises when there is no previous knowledge of the scenario representation and the creation of a memory data structure poses an extra effort for the modeller. The proposed solution in this paper, albeit simple, is a straightforward way to track the location of the video game character and map it when he / she passes certain limits. Th is mechanism proved to represent a key step for ward, addressing the important issue of tracking the decision - making process of players for future analysis and behaviour elicitation."

From the abstract: "This thesis is dealing with what have been identified as "pervasive games". Investigation and analysis of reasons behind their appearance, popularization is made. Different trends within classical game-development and theory of classical game-design are investigated to establish similarities and differences, challenges and solutions this newly emerged type of games is introducing. Knowledge presented in theoretical sections is used to design, develop, deploy and test a game-environment for mobile platforms that is adjusted for campus area. This designed game-environment consists of two essential components: Front-End, which is represented by Android mobile application and Back-End server logic. Both of components were designed, tested and implemented. Designed game-environment received a name "DTU GoblinsNGold and has been launched. It is made available publicly worldwide through Google Play market. All of these aspects and milestones are described in details inside practical part of this thesis. During game-environment testing valuable data was received that described all aspects of functionality of implemented system together with behavioral patterns of players. These results of deployment together with conclusions are presented in later sections."

"Game-based simulation systems are increasingly being used to train users in several applications across government, in- dustry, and academia. Designing game-based training sys- tems that can measurably improve learning while providing an engaging training experience is a challenging problem. In this paper, we describe a novel framework that tightly inte- grates game-based training systems with instructional com- ponents using data analysis to address this problem. Intelli- gent training systems based on this framework dynamically adapt both the training and the instructional components to measurably improve learning in play sessions. We propose a three phase approach to automatically identify points in a play session to predict high-value future scenarios, validate predictions, and prescribe actions. A case study using the KDD Cup 2010 educational data set is described illustrating the e®ectiveness of the proposed approach."

From the abstract: "this study investigated how the perspectives of the non-computer science educators changed after learning game-programming and how it could be fitted into the K-12 curriculum. Fourteen non-computer science educators and/or administrators in the K - 16 educational systems who made up a cohort at Sam Houston State University, Master of Education/Instructional Technology Program participated in this study. The participants were required to learn two free Web 2.0 game-programming applications and reflect on an article related to reviving interest in math and science as part of their program. Qualitative data consisted of online reflections, and peer-review processes through Facebook. A quantitative component was added to the analysis. The findings indicated that: (a) the perspectives of the participants changed from negative to positive as they reflected on their own game-programming learning experiences; (b) participants came to understand how game programming could build up students' logical concepts and critical thinking skills improving performances in math, science, and other subjects; and (c) due to the benefits of logical concepts and critical thinking skills game programming could have immense benefits if built into the K-12 curriculum."

Abstract: "The purpose of this study aimed to construct an online competitive game-based learning system by using freeware for junior high school students and to assess its effectiveness. From the learning standpoints, game mechanisms including learning points, competition mechanism, training room mechanism, questioning & answering mechanism, tips, and feedback mechanism are taken into consideration while constructing the system. The system contains screens of Log-in, Game lobby, Waiting room, Player's room, Question & Answer, and Scoring. After the system was established, it was implemented in a 10 week teaching experiment. A total of 35 junior high school students participated in this teaching experiment. Both pre-test and post-test were administered and analyzed. A 5-point Likert scale questionnaire, containing domains of system operation, learning effectiveness, competition and incentive, and training room learning was also included to assess user's satisfaction. Descriptive analysis and independent t test were used to analyze the collected data. The findings of the study show that most students are satisfied with the four domains of the freeware constructed online competitive game-based learning system. Meanwhile, the online competitive game-based learning system is effective for junior high school students' learning."

From the abstract: "In Northern Ireland a Virtual Learning Environment (VLE) infrastructure is in place. However, statistics and government reports suggest that VLE use amongst the primary school sector is quite limited. In an attempt to redress the limited use of VLEs in the primary school sector this research investigates the potential of serious games and how they may compliment the National Curriculum with the development of AmbiLearn, an enhanced learning environment with a content neutral game-based approach and content creation and reporting modules. This paper presents the design and implementation of AmbiLearn. Preliminary analysis of data from evaluation of AmbiLearn shows promising results and directions for future work are discussed."

"Video recordings of 19 play sessions in home environments generated the empirical data. The study comprises 39 players in groups of two or three, aged 10 to 14, as they were playing The Sims or The Sims 2 for one hour. The theoretical tools in the analysis were assembled within a sociocultural perspective on learning and communication, and also by using Vygotsky's ideas on fantasy and creativity and Goffman's ideas on social interaction. ....

"Without achieving a clear understanding of the learning domain, it is difficult to develop a successful serious game that enables users to achieve the desired learning outcomes. Thus, the first step in serious game design is to establish an understanding of the particular learning domain, usually through consultation with domain experts. Whilst game design is inherently a creative process, we believe the capturing of the knowledge domain can be systematised and we present a structured approach to knowledge elicitation and representation as a basis for serious game design. We have adapted and extended the applied cognitive task analysis (ACTA) method and have combined it with additional knowledge representation frameworks. We explain how the outputs of this approach can inform the game mechanic and the development of non-player characters, and apply it to the design of a serious game aimed at reducing time-tocompetence in soft project management skills for professionals working in corporate environments. A total of 26 domain experts from five different countries were involved in a two-stage interview process. The interviews yielded more than 300 task elements, and information about the cognition underlying the more challenging tasks. This data was incorporated into several representation frameworks and used to indicate features to be implemented in the game and the game mechanics of the supported features."

"In this thesis, the objective is to study the technical framworks in game development startups and compare them to medium size game development organizations with established product lines. The thesis was done as qualitative research applying grounded theory method in analysis of the data. Based on the results, the game organizations, regardless of their size, are pleased with the tools they have chosen. The main selection criterias for the tools are support for fast iterations, -sharing and -prototyping regardless of the organization size. Game development projects are adaptable and features can change rapidly. The technical framework in game development has to support these features."

From the abstract: "In this paper we tackle automating level design. We describe a general graph-based representation for game levels and present a preliminary system that leverages this representation. Our system automatically explores existing levels of a 2D platform game using the rapidlyexploring random tree (RRT) algorithm and constructs a compact graph representation from this exploration. Our system can also modify a graph representation onthe- fly to reflect user-directed changes to the existing level structure. This work constitutes an initial step toward the larger goal of automating level design in a general way."