Abstract
Web Analytics have been confined to an iterative process of collecting online traffic data for the purpose of drawing conclusions. This research presents a concept where internet usage traffic can be predicted against through the means of a mobile game. Through investigating certain industries use and perceptions of playfulness certain aspects are identified for the design and development of the game. Using a usability based methodology for evaluative testing these features are questioned amongst two distinctive versions. From these, the feasibility of a mobile game and its playfulness for users is gauged. The research leaves the concept considering what other contexts web analytics can be used within.
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Danielson, M.: Prediction Markets. In: MAT, vol. 5900 (2010)
Hayden, B., Platt, M.: Gambling for Gatorade: Risk-sensitive Decision Making for Fluid Rewards in Humans. Anim. Cogn. 12, 201–207 (2009)
Ledford, K., Teixeira, J., Tyler, M.: Google Analytics. John Wiley & Sons
Rose, K.: The Long and Short of it, Herptile
Hellerstein, J.: Programming a Parallel Future. In: EECS, vol. 144 (2008)
Ashish, T., Suresh, A., Namit, J., Raghotham, M., Zheng, S., Dhruba, B., Joydeep, S., Hao, L.: Data Warehosuing and Analytics Infrastructure at Facebook. In: SIGMOD (2010)
Yechiam, E.: Risk Attitude in Decision Making: In Search of Trait Like Con-structs. Topic in Cognitive Science 3, 166–186 (2011)
Kaushik, A.: Web Analytics: An Hour a Day. John Wiley & Sons (2007)
Liberatore, M., Luo, W.: The Analytics Movement: Implications for Opera-tions Research. Informs., 1–12 (2010)
W3CTechs.: Usage of Traffic Analysis Tools for Websites (2012), http://w3techs.com/technologies/overview/traffic_analysis/all
Cutroni, J.: Google Analytics. O’Reilly Media (2010)
Lewis, C., Wardrip-Fruin, N.: Mining Game Statistics from Web Services: A World of Warcraft Armoury Case Study. In: Proceedings of the Fifth Internationsal Conference on the Foundations of Digital Games, pp. 100–107 (2010)
Kim, K., Gunn, D., Schuh, E., Phillips, B., Pagulayan, R., Wixon, D.: Tracking Real Time User Experience. In: Proceedings of the Twenty Sixth Annaul Conference on Human Factors in Computing Systems, pp. 443–351 (2008)
Sanfilippo, A., Cowell, A., Malone, C., Riensche, R., Thomas, J., Unwin, S., Whitney, P., Wong, P.: Technosocial Predictive Analytics in Support of Natu-ralistic Decision Making. In: Proceedings of NDM 2009 (2009)
Davenport, T., Harris, J., Shapiro, J.: Competing on Talent Analytics. In: The Big Idea. Hardvard Business Review
Wolfers, J., Zitzewitz, E.: Prediction Markets in Theory and Practice. National Bureau of Economic Research 12084, 1–16 (2006)
Nagar, Y., Malone, T.: Making Business Prediction By Combing Human and Machine Intelligence in Prediction markets. In: Thirty Second International Conference on Information Systems, pp. 1–16 (2011)
Hayden, B., Nair, A., McCoy, A., Platt, M.: Posterior Cingulate Cortex Me-diates Outcome-Contingent Allocation of Behaviour. PMC 60, 19–25 (2009)
Ottaviani, M., Sorensen, P.: Noise, Information and the Favorite-Longshot Bi-as in Parimutiel Prediction. American Economic Journal Microeconomics 2, 58–85 (2010)
Griffiths, M.: Technological Addictions. Clinical Psychology Forum 76, 14–19 (1995)
Kairouz, S., Paradis, C., Nadeau, L.: Are Online Gamblers More At Risk Than Offline Gamblers. Cyberpsychology, Behaviour and Social Networking 1, 1–6 (2011)
Stekler, H., Sendor, D., Verlander, R.: Issues in Sports Forecasting. International Journal of Forecasting 26, 606–621 (2010)
Jansen, B., Mullen, T.: Sponsored Search: An Overview of the Concept, History, and Technology. Electronic Business 6, 114–131 (2008)
Google: A Trivia Game Where Using Google is Allowed, http://googleblog.blogspot.co.uk/2011/04/trivia-game-where-using-google-is.html
Google: The New a Google a Day, http://agoogleaday.com/
CSQI Wonder Wheel, http://www.hmtweb.com/marketing-blog/
Mirizzi, R., Ragone, A., Di Noia, T., Di Sciascio, E.: Semantic Wonder Cloud: Exploratory Search in DBpedia. In: Daniel, F., Facca, F.M. (eds.) ICWE 2010. LNCS, vol. 6385, pp. 138–149. Springer, Heidelberg (2010)
Moraveji, N., Russel, D., Bien, J., Mease, D.: Measuring Improvement I User Search Performance Resulting from Optimal Search Tips. In: Proceedings of the 34th International Conference on Reaseagc and Development in Information Retrieval, pp. 355–364 (2011)
Bateman, S., Teevan, J., White, R.: The Search Dashboard: How Reflection and Comparison Impact Search Behaviour. In: CHI, pp. 1–10 (2012)
Google Contextual Targeting Tool, http://www.google.com/ads/innovations/ctt.html
Bevan, N.: Extending Quality in Use to Provide a Framework for Usability Measurement. In: Kurosu, M. (ed.) HCD 2009. LNCS, vol. 5619, pp. 13–22. Springer, Heidelberg (2009)
Silva, E., Pires, L., Sinderen, M.: On the Design of User-Centric Supporting Service Composition Environments. In: ITNF, pp. 1–6 (2010)
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Burns, M., Colbert, M. (2013). Web Analytics: The New Purpose towards Predictive Mobile Games. In: Reidsma, D., Katayose, H., Nijholt, A. (eds) Advances in Computer Entertainment. ACE 2013. Lecture Notes in Computer Science, vol 8253. Springer, Cham. https://doi.org/10.1007/978-3-319-03161-3_1
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DOI: https://doi.org/10.1007/978-3-319-03161-3_1
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