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dc.contributor.advisorShipman, Frank
dc.creatorGargate, Rohit
dc.date.accessioned2013-12-16T20:05:44Z
dc.date.available2013-12-16T20:05:44Z
dc.date.created2013-08
dc.date.issued2013-07-25
dc.date.submittedAugust 2013
dc.identifier.urihttps://hdl.handle.net/1969.1/151174
dc.description.abstractClimate change is an important issue for public policy. Unfortunately, although there are volumes of data about climate change, many members of the public are informed about the issue by politicized interpretations of the data. This is an impediment to planning policies and strategies to counter the impact of climate change, and identifies a need for climate awareness in the public. This thesis explores using gamification to motivate people to learn about long term trends in climate data. As a model for this edutainment activity, we choose a medium that engages millions of players to learn about large sets of data - Fantasy Sports. Fantasy sports have been shown to increase the player’s knowledge and understanding about the domain of the sport being played. With the huge amount of weather data available, we have designed and developed a fantasy weather game. People manage a team of cities with the goal of predicting weather better than other players in their league, and in the process gain an understanding of the weather patterns and climate change trends for those cities. We do a user-study to evaluate our application and prove its feasibility. An evaluation of the fantasy weather game indicates that the game had the desired effect of causing players to explore weather data in more detail. The evaluation also pointed out a number of potential improvements to the current prototype. Overall, the evaluation supports using the model of fantasy sports to motivate people to learn more about weather and climate data.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectgamificationen
dc.subjectfantasy sportsen
dc.subjectweather dataen
dc.titleWeather Data Gamificationen
dc.typeThesisen
thesis.degree.departmentComputer Science and Engineeringen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberFuruta, Richard
dc.contributor.committeeMemberWeimer, Katherine
dc.type.materialtexten
dc.date.updated2013-12-16T20:05:45Z


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