Abstract
The spreading use of Internet-connected smart phones and portable devices is allowing an increasingly large number of people to bring wherever they go an intelligent tool with sensing and acting capabilities. It is no wonder that this led also to an explosion of location-based applications for mobile devices, including an ever developing market of gaming applications. Even within the boundaries of Human Computation research, applications are appearing to employ human workers on the move to solve simple computational challenges. Still, a full exploitation of mobile capabilities for location-based Games with a Purpose is not completely accomplished. In this chapter we analyse a number of location-based mobile applications, within and outside the Human Computation realm, to understand their distinctive features and unveil their potential to be adapted and employed to solve Human Computation tasks. We then present a reference methodology for the design and development of location-based mobile Games with a Purpose and we frame its adoption in the broader concept of Citizen Computation, our vision of a rising field at the crossroads of Human Computation, Crowdsourcing and Citizen Science.
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References
Ansari Y (2013) Biodiversity monitoring and conservation. In: Michelucci P (ed) Human computation handbook. Springer, New York
Bell M, Reeves S, Brown B, Sherwood S, MacMillan D, Ferguson J, Chalmers M (2009) Eyespy: supporting navigation through play. Technology 123–132
Billinghurst M (2013) Augmented reality interfaces in human computation systems. In: Michelucci P (ed) Human computation handbook. Springer, New York
Celino I (2013) Human computation VGI provenance: semantic web-based representation and publishing. Trans Geosci Remote Sens
Celino I, Cerizza D, Contessa S, Corubolo M, DellAglio D, Valle ED, Fumeo S (2012) Urbanopoly–a social and location-based game with a purpose to crowdsource your urban data. In: 2012 international conference on social computing, Amsterdam. IEEE, pp 910–913
Celino I, Contessa S, Corubolo M, DellAglio D, Valle ED, Fumeo S, Krüger T (2012) Linking smart cities datasets with human computation–the case of urbanmatch. In: The semantic web–ISWC 2012, Boston, pp 34–49
Deterding S, Dixon D, Khaled R, Nacke L (2011) From game design elements to gamefulness: defining “Gamification”. In: Proceedings of the 15th international MindTrek conference, Tampere. ACM, pp 9–15
Doan A, Ramakrishnan R, Halevy A (2011) Crowdsourcing systems on the world-wide web. Commun. ACM 54(4):86–96
Dou Z, Song R, Wen J.-R (2007) A large-scale evaluation and analysis of personalized search strategies. In: Proceedings of the 16th international conference on world wide web, Banff. ACM, pp 581–590
Entertainment Software Association(2012) Essential facts about the computer and video game industry. http://www.theesa.com/
Goodchild MF (2007) Citizens as sensors: the world of volunteered geography. GeoJournal 69(4):211–221
Hill T, Westbrook R (1997) SWOT analysis: it’s time for a product recall. Long Range Plan 30(1):46–52
Hodson H (2012) Why Google’s ingress game is a data gold mine. NewScientist.com
Irwin A (1995) Citizen science: a study of people, expertise and sustainable development. Routledge, London/New York
Kamvar M, Baluja S (2006) A large scale study of wireless search behavior: Google mobile search. In: Proceedings of the SIGCHI conference on human factors in computing systems, Paris. ACM, pp 701–709
Law E, Ahn LV (2011) Human computation, vol 5. In: Synthesis lectures on artificial intelligence and machine learning. Morgan and Claypool, San Rafael
Matyas S, Matyas C, Schlieder C, Kiefer P, Mitarai H, Kamata M (2008) Designing location-based mobile games with a purpose: collecting geospatial data with CityExplorer. In: Proceedings of the 2008 international conference on advances in computer entertainment technology, ACE’08, Atlanta. ACM, New York, pp 244–247
McGonigal J (2011) Reality is broken: why games make us better and how they can change the world. Penguin Press HC, Westminster
Nielsen Mobile Insights (2013) The mobile consumer: a global snapshot. Technical report, The Nielsen Company
von Ahn L (2006) Games with a purpose. IEEE Comput 39(6):92–94
Wang F-Y, Carley KM, Zeng D, Mao W (2007) Social computing: from social informatics to social intelligence. Intell Syst IEEE 22(2):79–83
Acknowledgements
This work was partially supported by the PlanetData EU project (FP7-257641). The author would like to thank Marta Corubolo, Simone Contessa, Daniele Dell’Aglio, Emanuele Della Valle and Stefano Fumeo for the valuable contribution to the discussion.
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Celino, I. (2013). Location-Based Games for Citizen Computation. In: Michelucci, P. (eds) Handbook of Human Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8806-4_25
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DOI: https://doi.org/10.1007/978-1-4614-8806-4_25
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