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As the Internet grows in importance, it is vital to develop methods andtechniques for educating end-users to improve their awareness of onlineprivacy. Web-based education tools have been proven effective in many domainsand have been increasingly adopted by many online professional and educationalservices. However, the design and development of Web-based education tools foronline privacy is still in the early stage. The traditional solutions alwaysinvolve privacy experts who have sophisticated expertise. Such involvement canmake the tool development costly. Furthermore, it is not clear how inspiringand effective these education tools are to general users of varyingbackgrounds, specially to novice users who have rarely dealt with onlineprivacy issues before. In this paper, we design, develop, and evaluate agame-based privacy learning system by leveraging the wisdom of a crowd ofnon-experts on Amazon Mechanic Turk. Empirical study demonstrates that thecrowd can provide high-quality ideas of designing and developing a practical,educational privacy learning game.

Leveraging Crowd for Game-based Learning: A Case Study of Privacy Education Game Design and Evaluation by Crowdsourcing