Abstract
Pervasive games have increased in popularity with the rise of location-based games, but their content quality varies based on the area it is played in. We present a system of anchoring street signs into an approach based on augmented reality, allowing a game being played in all rural and urban areas without the need for custom content creation. By using publicly available map data, we allow for gameplay across city and country borders. Our approach identifies and augments street signs on a player’s camera feed. It then automatically creates an AR challenge, based on the classical game Mastermind, for the player to capture the virtual street. The virtual streets are integrated into one game world where players can conquer and take virtual ownership of whole blocks, districts, or cities. We achieve correct augmentation rates of 84.7% with initial delays of one second and continuous fluent augmentation.
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References
Althoff, T., White, R.W., Horvitz, E.: Influence of Pokémon GO on physical activity: study and implications. J. Med. Internet Res. 18(12), 1–14 (2016)
Anastasi, R., et al.: Can you see me now? A citywide mixed-reality gaming experience. In: Proceedings of the UbiComp 2002. Springer (2002)
Azuma, R.T.: A survey of augmented reality. Presence: Teleoper. Virtual Environ. 6(4), 355–385 (1997)
Benford, S., et al.: Can you see me now? ACM Trans. Comput.-Hum. Interact. (TOCHI) 13(1), 100–133 (2006)
Benford, S., et al.: The frame of the game: blurring the boundary between fiction and reality in mobile experiences. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2006, pp. 427–436. ACM, New York (2006). https://doi.org/10.1145/1124772.1124836
Bhattacharya, A., et al.: Group interactions in location-based gaming: a case study of raiding in Pokémon GO. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1–12. ACM (2019)
Chalmers, M., Bell, M., Brown, B., Hall, M., Sherwood, S., Tennent, P.: Gaming on the edge: using seams in ubicomp games. In: Proceedings of the 2005 ACM SIGCHI International Conference on Advances in Computer Entertainment Technology, ACE 2005, pp. 306–309. ACM, New York (2005). https://doi.org/10.1145/1178477.1178533
Cheok, A.D., et al.: Human Pacman: a mobile, wide-area entertainment system based on physical, social, and ubiquitous computing. Pers. Ubiquit. Comput. 8(2), 71–81 (2004). https://doi.org/10.1007/s00779-004-0267-x
Colley, A., et al.: The geography of Pokémon GO: beneficial and problematic effects on places and movement. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 1179–1192. IEEE (2017)
Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for modelfitting with applications to image analysis and automated cartography. Commun. ACM 24(6), 381–395 (1981)
Fragoso, V., Gauglitz, S., Zamora, S., Kleban, J., Turk, M.: TranslatAR: a mobile augmented reality translator. In: 2011 IEEE Workshop on Applications of Computer Vision (WACV), pp. 497–502 (2011). https://doi.org/10.1109/WACV.2011.5711545
Golden, B.L., Levy, L., Vohra, R.: The orienteering problem. Naval Res. Logist. (NRL) 34(3), 307–318 (1987)
Jähne, B.: Digitale Bildverarbeitung. Springer, Berlin (2010)
Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the 7th International Joint Conference on Artificial Intelligence, IJCAI 1981, San Francisco, CA, USA, vol. 2, pp. 674–679 (1981)
Magerkurth, C., Cheok, A.D., Mandryk, R.L., Nilsen, T.: Pervasive games: bringing computer entertainment back to the real world. Comput. Entertain. 3(3), 4 (2005). https://doi.org/10.1145/1077246.1077257
Matyas, S.: Playful geospatial data acquisition by location-based gaming communities. IJVR 6(3), 1–10 (2007)
Motsinger, K.: Pokémon Go away: augmented reality games pose issues with trespass and nuisance. San Diego L. Rev. 54, 649 (2017)
Navarro, G.: A guided tour to approximate string matching. ACM Comput. Surv. (CSUR) 33(1), 31–88 (2001). https://doi.org/10.1145/375360.375365
Niantic, Inc., Ingress. Game [Android, iOS]. Google, Menlo Park, United States of America (2013)
Nieuwdorp, E.: The pervasive discourse: an analysis. Comput. Entertain. 5(2), 13 (2007). https://doi.org/10.1145/1279540.1279553
Nobuyuki, O.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62–66 (1979). https://doi.org/10.1109/TSMC.1979.431007
Rosten, E., Drummond, T.: Fusing points and lines for high performance tracking. In: Proceedings of the Tenth IEEE International Conference on Computer Vision - ICCV 2005, vol. 2, pp. 1508–1515, IEEE, Washington, DC (2005). https://doi.org/10.1109/ICCV.2005.104
Schlieder, C., Kiefer, P., Matyas, S.: Geogames: designing location-based games from classic board games. IEEE Intell. Syst. 21(5), 40–46 (2006). https://doi.org/10.1109/MIS.2006.93
Shi, J., Tomasi, C.: Good features to track. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 593–600(1994). https://doi.org/10.1109/CVPR.1994.323794
Six to Start: Zombies, Run! Game [Android, iOS, Windows Phone]. Six to Start, London, United Kingdom (2012)
Smith, R.: An overview of the tesseract OCR engine. In: Proceedings of the Ninth International Conference on Document Analysis and Recognition, ICDAR 2007, vol. 2, pp. 629–633. IEEE, Washington, DC (2007)
Smith, T.F., Waterman, M.S.: Identification of common molecular subsequences. J. Mol. Biol. 147(1), 195–197 (1981). https://doi.org/10.1016/0022-2836(81)90087-5
Söbke, H., Hauge, J.B., Stefan, I.A.: Prime example ingress reframing the pervasive game design framework (PGDF). Int. J. Serious Games 4(2), 1–20 (2017)
The Pokémon Company, Nintendo, and Niantic, Inc., Pokémon GO. Game [Android, iOS]. Niantic, San Francisco, United States of America (2016)
Tregel, T., Möller, P.N., Göbel, S., Steinmetz, R.: Where’s Pikachu: route optimization in location-based games. In: 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games), pp. 1–8. IEEE (2018)
Tregel, T., Müller, P.N., Göbel, S., Steinmetz, R.: Looking for Charizard: applying the orienteering problem to location-based games. Vis. Comput. 2019, 1–15 (2019). https://doi.org/10.1007/s00371-019-01737-z
Tregel, T., Raymann, L., Göbel, S., Steinmetz, R.: Geodata classification for automatic content creation in location-based games. In: Alcañiz, M., Göbel, S., Ma, M., Fradinho Oliveira, M., Baalsrud Hauge, J., Marsh, T. (eds.) JCSG 2017. LNCS, vol. 10622, pp. 212–223. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70111-0_20
Xian, Y., et al.: An initial evaluation of the impact of Pokémon GO on physical activity. J. Am. Heart Assoc. 6(5), e005341 (2017)
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Tregel, T., Dutz, T., Hock, P., Müller, P.N., Achenbach, P., Göbel, S. (2020). StreetConqAR: Augmented Reality Anchoring in Pervasive Games. In: Ma, M., Fletcher, B., Göbel, S., Baalsrud Hauge, J., Marsh, T. (eds) Serious Games. JCSG 2020. Lecture Notes in Computer Science(), vol 12434. Springer, Cham. https://doi.org/10.1007/978-3-030-61814-8_1
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