During 2014 we have a data games project together with two librarians at Malmö University, Jessica Lindholm and Jacob Andersson. The goal is to create game concepts and games based on publication metadata from SwePub (hosted by the Swedish Royal Library), accessed through their SPARQL interface.
Based on a workshop this spring we are currently developing two games, more information to come.
If you read Swedish:
One of our most recent data games is Open Trumps, a version of the popular card game Top Trumps with decks that are procedurally generated based on open data. The game is played among multiple players through drawing cards and selecting the feature that is most likely to trump the same feature on the other players’ cards. The decks are generated from data sets from the UN and the World Bank describing different nations.
At the Foundations of Digital Games conference 2014 we presented an article based on the deck generator by Andrew Borg Cardona and player evaluation by Aske Walther Hansen.
Players can generate their own decks through choosing a suitable dataset and setting certain attributes; the generator then generates a balanced and playable deck using evolutionary computation. In the example dataset, each card represents a country and the features represent such entities as GDP per capita, mortality rate or tomato production, but in principle any dataset organised as instances with numerical features could be used.
We also report the results of an evaluation intended to investigate both player experience and the hypothesis that players learn about the data underlying the deck they play with, since understanding the data is key to playing well. The results show that players enjoy playing the game, are enthusiastic about its potential and answer questions related to decks they have played significantly better than questions related to decks they have not played.
You can find the article here.
At the conference Foundations of Digital Games in Chania, Crete, next week, two contributions of data games will be presented.
Julian Togelius will present an overview article of our work on data games at the workshop on Procedural Content Generation, which is part of the conference. This article presents several new data game prototypes, as well as a preliminary taxonomy of the data games and some directions for future research.
Julian will also present a short paper describing Bar Chart Ball, one of our new data games, at the main conference.
New Scientist included a short write up about our data game Open Data Monopoly.
In Custom Monopoly boards help visualise social data, Jacob Aron gives a summary of the ideas behind Open Data Monopoly and some examples.