Identification of structural landmarks in a park using movement data collected in a location-based game

COMP 2013 - ACM SIGSPATIAL International Workshop on Computational Models of Place

Volumn , Issue , 2013, Pages 1-8

  Jordan, Klaas Ole ^a   Sheptykin, Iaroslav ^a   Grüter, Barbara ^a   Vatterrott, Heide Rose ^a  

^a HOCHSCHULE BREMEN   (Germany)

Author keywords

Games with purpose; Landmark identification; Location based games; Movement analysis

Indexed keywords

GAMES WITH PURPOSE; LANDMARK DETECTION; LANDMARK IDENTIFICATION; LOCATION-BASED GAMES; MANAGEMENT SYSTEMS; MOVEMENT ANALYSIS; MOVEMENT BEHAVIOR; SPATIAL POSITIONS;

COMPUTATIONAL METHODS;

EID: 84889780837     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2534848.2534853     Document Type: Conference Paper

References (28)

1. Andrienko, G., Andrienko, N., Hurter, C., Rinzivillo, S., & Wrobel, S. (2012). Scalable Analysis of Movement Data for Extracting and Exploring Significant Places. IEEE Transactions on Visualization and Computer Graphics, 1-1.
2. Ashbrook, D., & Starner, T. (2003). Using GPS to learn significant locations and predict movement across multiple users. Personal and Ubiquitous Computing, 7(5), 275-286.
3. El-Geneidy, A., & Levinson, D. (2011). Place Rank: Valuing Spatial Interactions. Networks and Spatial Economics, 11(4), 643-659.
4. Elias, B. (2003). Extracting landmarks with data mining methods. Spatial information theory, 375-389.
5. Fang, Z., Li, Q., Zhang, X., & Shaw, S.-L. (2012). A GIS data model for landmark-based pedestrian navigation. International Journal of Geographical Information Science, 26(5), 817-838.
6. Hile, H., Vedantham, R., Cuellar, G., Liu, A., Gelfand, N., Grzeszczuk, R., & Borriello, G. (2008). Landmarkbased pedestrian navigation from collections of geotagged photos. Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia - MUM '08 (p. 145).
7. Ji, R., Xie, X., Yao, H., & Ma, W.-Y. (2009). Mining city landmarks from blogs by graph modeling. Proceedings of the seventeen ACM international conference on Multimedia - MM '09 (p. 105).
8. Jiang, B., Zhao, S., & Yin, J. (2008). Self-organized natural roads for predicting traffic flow: a sensitivity study. Journal of Statistical Mechanics: Theory and Experiment, 2008(07), P07008.
9. Karagiorgou, S., & Pfoser, D. (2012). On vehicle tracking data-based road network generation. Proceedings of the 20th International Conference on Advances in Geographic Information Systems - SIGSPATIAL '12 (p. 89).
10. Kleinberg, J. M., Kumar, R., Raghavan, P., Rajagopalan, S., & Tomkins, A. S. (1999). The web as a graph: measurements, models, and methods, 1-17.
11. Klippel, A., Richter, K. F., & Hansen, S. (2005). Structural salience as a landmark. Workshop Mobile Maps.
12. Lynch, K. (1960). The Image of the City (Harvard-Mit Joint Center for Urban Studies) (p. 202). MIT Press.
13. Mark, D. M., Freksa, C., Hirtle, S. C., Lloyd, R., & Tversky, B. (1999). Cognitive models of geographical space. International Journal of Geographical Information Science, 13(8), 747-774.
14. Matyas, S., Matyas, C., Schlieder, C., Kiefer, P., Mitarai, H., & Kamata, M. (2008). Designing location-based mobile games with a purpose. Proceedings of the 2008 International Conference in Advances on Computer Entertainment Technology - ACE '08 (p. 244).
15. Nothegger, C., Winter, S., & Raubal, M. (2004). Selection of Salient Features for Route Directions. Spatial Cognition & Computation, 4(2), 113-136.
16. Page, L., Brin, S., Motwani, R., & Winograd, T. (1999, November 11). The PageRank Citation Ranking: Bringing Order to the Web. Stanford InfoLab.
17. Peter Kiefer, K. S. (2008). A Framework for Mobile Intention Recognition in Spatially Structured Environments. 31st German Conference on Artificial Intelligence (pp. 28-41). CEUR Vol-396. 50
18. Raubal, M., & Winter, S. (2002). Enriching Wayfinding Instructions with Local Landmarks, 243-259.
19. Sadeghian, P., & Kantardzic, M. (2008). The New Generation of Automatic Landmark Detection Systems: Challenges and Guidelines. Spatial Cognition & Computation, 8(3), 252-287
20. Snowdon, C., & Kray, C. (2009). Exploring the use of landmarks for mobile navigation support in natural environments. Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services - MobileHCI '09 (p. 1).
21. Sorrows, M. E., & Hirtle, S. C. (1999). The Nature of Landmarks for Real and Electronic Spaces. Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science (pp. 37-50).
22. Vinson, N. G. (1999). Design guidelines for landmarks to support navigation in virtual environments. Proceedings of the SIGCHI conference on Human factors in computing systems the CHI is the limit - CHI '99 (pp. 278-285).
23. Von Ahn, L., & Dabbish, L. (2008). Designing games with a purpose. Communications of the ACM, 51(8), 57.
24. Wetzel, R., Blum, L., & Oppermann, L. (2012). Tidy city. Proceedings of the International Conference on the Foundations of Digital Games - FDG '12 (p. 238).
25. Winter, S., Tomko, M., Elias, B., & Sester, M. (2008). Landmark hierarchies in context. Environment and Planning B: Planning and Design, 35(3), 381-398.
26. Winter, Stephan; Richter, Kai-Florian.; Baldwin, T.; Cavedon, L.; Stirling, L.; Duckham, M.; Kealy, A.; Rajabifard, A. (2011). Location-Based Mobile Games for Spatial Knowledge Acquisition. In K. Janowicz (Ed.), Cognitive Engineering for Mobile GIS (pp. 1-8).
27. Ying, J. J.-C., Lee, W.-C., Weng, T.-C., & Tseng, V. S. (2011). Semantic trajectory mining for location prediction. Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS '11 (p. 34).
28. Zheng, Y., Zhang, L., Xie, X., & Ma, W.-Y. (2009). Mining interesting locations and travel sequences from GPS trajectories. Proceedings of the 18th international conference on World wide web - WWW '09 (p. 791).