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Abstract: "A key problem for crowd - sourced systems is motivating contributions from participants and ensuring the quality of these contributions. Games have been suggested as a motivational approach but there are concerns about data quality , particularly when the data are to be used for scientific research . To address these concerns, w e compare the quality of data obtained from two citizen science games, one a "gamified" version of a species classificatio n task and one a fantasy game that used the classification task only as a way to advance in the game play. Surprisingly, though we did observe cheating in the fantasy game, data quality from the two games was not significantly different . As well, the quali ty of data from short - time contributors was at a usable level. These findings suggest that games can be a useful way to motivate contributions to citizen science projects. "

Abstract: "Citizen science is a form of social computation where members of the public are recruited to contribute to scientific investigations. Citizen-science projects often use web-based systems to support collaborative scientific activities, making them a form of computer-supported cooperative work. However, finding ways to attract participants and confirm the veracity of the data they produce are key issues in making such systems successful. We describe a series of web-based tools and games currently under development to support taxonomic classification of organisms in photographs collected by citizen-science projects. In the design science tradition, the systems are purpose-built to test hypotheses about participant motivation and techniques for ensuring data quality. Findings from preliminary evaluation and the design process itself are discussed."

"A data game is a game that allows the player(s) to explore data that is derived from outside the game, by transforming the data into something that can be played with. In other words, games as a form of interactive data visualisation."

"Electronic Arts CTO Rajat Taneja on big data's growing role in the video game world."

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."

A game designed to handle large datasets to speed up disease diagnosis through crowdsourcing

From the abstract: "Our goal is to create a better understanding on how to design encounters that affect interest levels in linear FPS games. Specifically, how exactly a player's interest levels can be raised intentionally. To accomplish this, we developed a method for measuring and comparing player interest levels based on electroencephalogram (EEG) data measured using a "Neurosky Mindset" unit, which is a commercially available EEG device. We measured player EEG data for the first 4 levels of the FPS game "Call of Duty: Modern Warfare 2" and calculated player interest levels for the entire length of gameplay. By referring to recorded gameplay videos, we were able to associate each increase in interest levels for each player to a specific point in game. From this data, we found and isolated points in each level where most players showed a rise in interest levels, and discovered that certain patterns existed between these situations. These findings led to another study where we further analyzed these situations and found out what factors caused most players to show a rise in interest levels. We were able to divide these factors into 6 different categories called Triggers: "Anticipation", "Concentration", "Surprise", "Frustration", "Overwhelm" and "Fear". As these triggers represent mutually exclusive elements that affect a player's interest levels, we found that in most situations where many test subjects showed a rise in interest levels, more than one trigger is present, a phenomenon we call Stacking. While our study is still ongoing, we believe that by using these triggers as guidelines, game designers will be able to intentionally plan and control the player's interest level for FPS games with a certain level of guarantee"