The effects of age on player behavior in educational games

Casual games attract a diverse group of players with varied needs and interests. In order to effectively tailor games to specific audiences, designers must consider the effects of demographics on player behavior. This is particularly important when developing educational games for children, since research shows that they have different design needs than adults. In this work, we develop in-depth metrics to capture demographic differences in player behavior in two educational games, Refraction and Treefrog Treasure. To learn about the effects of age on behavior, we use these metrics to analyze two player populations, children on the educational website BrainPOP and adults of the popular Flash website Kongregate. We show that BrainPOP players make more mathematical mistakes, display less strategic behavior, and are less likely to collect optional rewards than Kongregate players. Given these results, we present design suggestions for casual games that target children.

[1]  Allison Druin,et al.  Cooperative inquiry: developing new technologies for children with children , 1999, CHI '99.

[2]  Nick Yee,et al.  Motivations for Play in Online Games , 2006, Cyberpsychology Behav. Soc. Netw..

[3]  Andrew D. Miller,et al.  Designing pervasive health games for sustainability, adaptability and sociability , 2012, FDG.

[4]  Adrien Treuille,et al.  Predicting protein structures with a multiplayer online game , 2010, Nature.

[5]  H. O'Neil,et al.  Classification of learning outcomes: evidence from the computer games literature , 2005 .

[6]  James Paul Gee,et al.  What video games have to teach us about learning and literacy , 2007, CIE.

[7]  Joachim Funke,et al.  Thinking and problem solving , 2002 .

[8]  Ben Kirman,et al.  Practical, appropriate, empirically-validated guidelines for designing educational games , 2011, CHI.

[9]  Juan Pablo Hourcade,et al.  Child computer interaction , 2008, CHI Extended Abstracts.

[10]  Paula Kotzé,et al.  Designing technology for young children: what we can learn from theories of cognitive development , 2008, SAICSIT '08.

[11]  Stephanie Thornton,et al.  Children Solving Problems , 1995 .

[12]  Zoran Popovic,et al.  Feature-based projections for effective playtrace analysis , 2011, FDG.

[13]  Wolmet Barendregt,et al.  A Structured Expert Evaluation Method for the Evaluation of Children's Computer Games , 2005, INTERACT.

[14]  GeeJames Paul What video games have to teach us about learning and literacy , 2003 .

[15]  David F. Bjorklund,et al.  Children's strategies: Contemporary views of cognitive development. , 1991 .

[16]  Paula Kotzé,et al.  Ten design lessons from the literature on child development and children's use of technology , 2009, IDC.

[17]  Iván Martínez-Ortiz,et al.  Educational game design for online education , 2008, Comput. Hum. Behav..

[18]  Andreas Nürnberger,et al.  What are the real differences of children's and adults' web search , 2011, SIGIR '11.

[19]  Dania Bilal,et al.  Differences and similarities in information seeking: children and adults as Web users , 2002, Inf. Process. Manag..

[20]  Helene Gelderblom,et al.  Using eye tracking to compare how adults and children learn to use an unfamiliar computer game , 2010, SAICSIT '10.