A series of 50 responses regarding reasons for cheating behavior in video games were provided by undergraduate students. These responses were sorted into a series of 13 categories by raters to investigate the most common reasons provided for cheating. An analysis of inter-rater agreement as well as frequency of category representation is provided. The most common outcomes were that players cheat to progress in a game as well as to gain advantage over others. The discussion compared this study’s results to an existing cheating taxonomy.
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References
1.
AndersonC. A.FunkJ. B.GriffithsM. D. (2010). Contemporary issues in adolescent video game playing: Brief overview and introduction to the special issue. Adolescence, 27(1), 1-3.
2.
AndersonC.A.GentileD.A.DillK.E. (2012). Prosocial, Antisocial, and Other Effects of Recreational Video Games. Chapter in SingerD.G.SingerJ.L. (Eds.), Handbook of Children and the Media, 2nd Edition, (pp. 249-272). Thousand Oaks, CA: Sage.
3.
ConsalvoM. (2005). Rule sets, cheating, and magic circles: Studying games and ethics. International Review of Information Ethics, 4, 7-12.
4.
ConsalvoM. (2009). Cheating: Gaining Advantage in Videogames. MIT Press.
5.
FleissJ. L. (1971). Measuring nominal scale agreement among many raters. Psychological Bulletin, 76(5), 378-382.
6.
HamlenK. R.GageH. E. (2011). Negotiating students’ conceptions of “cheating” in video games and in school. International Journal of Gaming and Computer-Mediated Simulations, 3(2), 44-56. Doi: 10.4018/jgcms.2011040103.
7.
HellströmC.NilssonK. W.LeppertJ.AslundC. (2012). Influences of motives to play and time spent gaming on the negative consequences of adolescent online computer gaming. Computers in Human Behavior, 28(4), 1379-1387.
8.
KimppaK. K.BissettA. K. (2005). The ethical significance of cheating in online computer games. International Review of Information Ethics, 4, 31-38.
9.
KücklichJ. (2007). Cheating as a methodological tool in digital games research. Convergence, 13(4), 355-367.
10.
KuecklichJ. (2004). Other playings – cheating in computer games. Proceedings of the Other Players conference, Cophenhagen, Denmark.
11.
LandisJ. R.KochG. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159-174.
12.
OdomW.ZimmermanJ.Forlizzi (2011). Teenagers and their virtual possessions: Design opportunities and issues. CHI ’11 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1491-1500.
13.
YanJ.RandellB. (2005). A systematic classification of cheating in online games. Proceedings of the 4th ACM SIGCOMM Workshop on Network and System Support for Games, 1-9.
