Grand Text Auto

Card games are more often associated with family-gatherings or leisurely afternoons than with realizing social change. However, one group of game designers is creating games with an aim to do just that.

Tiltfactor Lab, a Dartmouth College research laboratory with Sherman Fairchild Distinguished Professor Mary Flanagan at the helm, is dedicated to “creating games for social change.” They designed and produce Buffalo—described by Amazon reviewers as an “extremely simple,” “adaptable” party game—and Awkward Moment—and is “an interesting, family-friendly card game that is worthy of your attention” and “makes you laugh”— provide more than just endless fun at parties. According to a paper to be printed in CyberPsychology’s upcoming issue devoted to the prosocial effects of games, Buffalo and Awkward Moment are also games with a proven purpose. These games have been shown to change players’ implicit biases without them ever knowing!

Maanvi Singh has a piece about Buffalo on Code Switch, a race and culture outlet and a weekly podcast from American public radio network NPR. How awesome!  Also listen to her earlier piece for Weekend Edition. Singh plays the game and interviews experts about the possibilities of shifting mental biases through games. When it is not sold out, the game is available through our retail partner Resonym on Amazon!

We’ve been talking about player psychology to nudge us toward a better world for years and years. Journalists have even called this “social engineering.” That’s interesting, because games are intricate designed systems and typically, though not always, they are social. So social engineering may be an apt term for games in general, and not simply games that try to effect positive change.

Our research in bias is pushing ahead with thinking about implicit bias and stereotype threat. After the release of our recent paper “A psychologically “embedded” approach to designing games for prosocial causes,” which garnered national attention in the media, we’re currently working with digital and non-digital narratives to understand how these could help alleviate bias. And oooh, we have some really interesting data.