Group items tagged

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."

From the abstract: "This study presents the defining usability quality metric for game prototype using software attributes by referring to ISO Standards 9126 - 3: Software Engineering - Product Quality, with the adaptation for the quality as surance and measurement during game p rototyping period. In order to be fully utilized and optimized the effectiveness of the proposed quality metric, it is best to define the development process environment and its application simultaneously."

Abstract: "This thesis deals with free to play marketing analytics in the light of mobile iOS games. Other platforms will be also discussed as well as mobile marketing aspects such as user acquisition, big data and metrics."

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."

towards a game tutorial to "adapts to the skill of the player and tailors itself to the individual player"

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."

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: "A number of changes are occurring in the field of computer game development: persistent online games, digital distribution platforms, social and mobile games, and the emer- gence of new business models have pushed game development to put heavier emphasis on the live operation of games. Artificial intelligence has long been an important part of game development practices. The forces of change in the industry present an opportunity for Game AI to have new and profound impact on game development practices. Specifically, Game AI agents should act as "producers" responsible for managing a long-running set of live games, their player communities, and real-world context. We characterize a confluence of four major forces at play in the games industry today, together producing a wealth of data that opens unique research opportunities and challenges for Game AI as producers. We enumerate 12 new research areas spawned by these forces and steps toward how they can be addressed by data-driven Game AI Producers"

Abstract: "We present concepts of user experience (UX) research and show application areas where UX can be applied. We categorise assessment methods, and present estimation models and metrics of UX. Especially the relations between UX and bio-physiological responses, as well as observations are in the foreground." Includes a section on gamification and game experience.

Considers the Google OS not worthwhile for commercial projects but for "hobby" development

June 28, 2012 - A new video game design lab will research and develop compelling video games that engage students in innovative ways and validate student learning of the core skills deemed critical by states for college and the 21st century workplace.

Abstract: "For over 40 years, researchers investigated utilizing video games for education. Some of that research focused on the type of pedagogical content to embed in a game and how to integrate it, while others emphasized how to preserve the inherent intrinsic motivation in games. One of the many factors that could affect motivation and learning in video games is the different intrapersonal elements and attributes of games. In order to test those attributes' effect on motivation and learning we need to be able to define them and clearly establish a method for measuring them. The object of this study is to establish a framework for measuring three of these attributes, Challenge, Control and Goals, based on user perception. This framework is an initial step to establish a clear metric for measuring those attributes in five different game genres: First-Person Shooter, Racing, RPG, Arcade and Sports."