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International Conference on Ubiquitous Computing and Ambient Intelligence

UCAmI 2015: Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information pp 13–25Cite as

A Mobile Application as an Unobtrusive Tool for Behavioural Mapping in Public Spaces

Part of the Lecture Notes in Computer Science book series (LNISA,volume 9454)

Abstract

In any man-made environment, discrepancies may exist between the intent of its design and how it is actually used. Behaviour mapping allows researchers to determine how participants use a designed space by recording participant behaviours and/or tracking their movement within the space itself. Not only the participants’ movements, other characteristics referring to users (e.g. age, gender, cultural background) and variety of circumstantial factors -including the time of a day, the day of the week, the season or weather conditions - may have a dramatic impact on the types of participant behaviours displayed. This paper highlights a new unobtrusive tool for helping behaviour mapping to easily identify patterns of engagements, gather suggestions and environmental factors within public spaces. The tool mainly consists of a smartphone application (app) and a web service. The app, on one hand tracks the way participants use the space, allowing them to get contextual information, answer contextual questions, and to send augmented reality suggestions or complaints. On the other, the web monitors the way participants use the space allowing to visualize participants’ suggestions, answers, or their traces. The tool features and its research ability have been discussed as well as some lessons are expected to be drawn towards building a more participatory and collaborative processes of planning, designing, maintaining and monitoring of urban spaces.

Keywords

  • Global Navigation Satellite System
  • Global Navigation Satellite System
  • Unscented Kalman Filter
  • Behaviour Mapping
  • Global Navigation Satellite System Receiver

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-26401-1_2
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Notes

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References

  1. Bahillo, A., Mazuelas, S., Lorenzo, R.M., Fernández, P., Prieto, J., Durán, R.J., Abril, E.J.: Hybrid RSS-RTT localization scheme for indoor wireless networks. EURASIP J. Adv. Signal Process 2010, 1–12 (2010)

    CrossRef  Google Scholar 

  2. Blankenbach, J., Norrdine, A., Hellmers, H.: Adaptive signal processing for a magnetic indoor positioning system. In: Proceedings of the 2011 International Conference on Indoor Positioning and Indoor Navigation (2011)

    Google Scholar 

  3. Chung, J., Donahoe, M., Schmandt, C., Kim, I.J., Razavai, P., Wiseman, M.: Indoor location sensing using geo-magnetism. In: Proceedings of the 9th International Conference on Mobile Systems, Applications and Services (MobiSys 2011), pp. 141–154 (2011)

    Google Scholar 

  4. Fox, D., Hightower, J., Liao, L., Schulz, D., Borriello, G.: Bayesian filters for location estimation. IEEE Pervasive Comput. 2, 24–33 (2003)

    CrossRef  Google Scholar 

  5. Goličnik, B., Thompson, C.: People in place: a configuration of physical form and the dynamic patterns of spatial occupancy in urban open public space. Submitted for the Degree of Doctor of Philosophy, B. Goličnik (2005)

    Google Scholar 

  6. Goličnik, B., Thompson, C.W.: Emerging relationships between design and use of urban park spaces. Landscape Urban Plan. 94(1), 38–53 (2010)

    CrossRef  Google Scholar 

  7. Goličnik Marušić, B.: Analysis of patterns of spatial occupancy in urban open space using behaviour maps and GIS. Urban Des. Int. 16, 36–50 (2011)

    CrossRef  Google Scholar 

  8. Goličnik Marušić, B., Marušić, D.: Behavioural maps and GIS in place evaluation and design. In: Application of Geographic Information Systems, 31 October 2012

    Google Scholar 

  9. González, J.R., Bleakley, C.J.: High-precision robust broadband ultrasonic location and orientation estimation. IEEE J. Sel. Top. Signal Process. 3(5), 832–844 (2009)

    CrossRef  Google Scholar 

  10. Hazas, M., Ward, A.: A novel broadband ultrasonic location system. In: Borriello, G., Holmquist, L.E. (eds.) UbiComp 2002. LNCS, vol. 2498, p. 264. Springer, Heidelberg (2002)

    CrossRef  Google Scholar 

  11. Ittelson, W.H., Rivlin, L.G., Proshansky, H.M.: The Use of Behavioral Maps in Environmental Psychology. Holt, Rinehart and Winston, New York (1970)

    Google Scholar 

  12. Julier, S., Uhlmann, J.K., Durrant-Whyte, H.F.: A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Trans. Automat. Contr. 45(3), 477–482 (2000)

    CrossRef  MathSciNet  MATH  Google Scholar 

  13. K, A., Adepoju, F.: A model for estimating the real-time positions of a moving object in wireless telemetry applications using RF sensors. In: Proceedings of the IEEE Sensors Applications Symposium (2007)

    Google Scholar 

  14. Li, X.: RSS-based location estimation with unknown pathloss model. IEEE Trans. Wireless Commun. 5(12), 3626–3633 (2006)

    CrossRef  Google Scholar 

  15. Mazuelas, S., Bahillo, A., Lorenzo, R.M., Fernández, P., Lago, F., García, E., Blas, J., Abril, E.J.: Robust indoor positioning provided by real-time RSSI values in unmodified WLAN networks. IEEE J. Sel. Top. Signal Process. 3(5), 821–831 (2009)

    CrossRef  Google Scholar 

  16. Pahlavan, K., Levesque, A.H.: Wireless Information Networks. Wiley, New York (1995)

    Google Scholar 

  17. Sommer, R., Sommer, B.: A Practical Guide to Behavioural Research. Oxford University Press, New York (2002)

    Google Scholar 

  18. Steiniger, S., Neun, M., Alistair, E.: Foundations of Location Based Services. CartouCHe1-Lecture Notes on LBS 1 (2006)

    Google Scholar 

  19. Tilch, S., Mautz, R.: Current investigations at the ETH Zurich in optical indoor positioning. In: Proceedings of the 7th Workshop on Positioning Navigation and Communication, vol. 7, pp. 174–178 (2010)

    Google Scholar 

  20. Ureña, J., Hernández, A., Villadangos, J.M., Mazo, M., García, J.C., García, J.J., Álvarez, F.J., de Marziani, C., Pérez, M.C., Jiménez, J.A., Jiménez, A., Seco, F.: Advanced sensorial system for an acoustic LPS. Microprocess. Microsyst. 31, 393–401 (2007)

    CrossRef  Google Scholar 

  21. Wakim, C.F., Capperon, S., Oksman, J.: A Markovian model of pedestrian behavior. In: SMC, vol. 4, pp. 4028–4033. IEEE (2004)

    Google Scholar 

  22. Whitehouse, K., Karlof, C., Culler, D.: A practical evaluation of radio signal strength for ranging-based localization. ACM SIGMOBILE Mob. Comput. Commun. Rev. 11(1), 41–52 (2007)

    CrossRef  Google Scholar 

  23. Willert, V.: Optical indoor positioning using a camera phone. In: Proceedings of the 2010 International Conference on Indoor Positioning and Indoor Navigation (2010)

    Google Scholar 

  24. Zandbergen, P.: Accuracy of iPhone locations: a comparison of assisted GPS, Wifi and cellular positioning. Trans. GIS 13(s1), 5–25 (2009)

    CrossRef  Google Scholar 

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Acknowledgements

This work has been supported by the Spanish Ministry of Economy and Competitiveness under the ESPHIA project (TIN2014-56042-JIN), by Slovenian Research Agency within Programme Spatial Planning (P5-0100), and by the Cost Action TU1306, called CYBERPARKS, with special thanks to Mrs. Ina Šuklje Erjavec for encouraging the short time scientific mission.

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Authors and Affiliations

  1. Deusto Institute of Technology (DeustoTech), University of Deusto, 48007, Bilbao, Spain

    Alfonso Bahillo & Asier Perallos

  2. Urban Planning Institute of the Republic of Slovenia, 1127, Ljubljana, Slovenia

    Barbara Goličnik Marušić

Authors
  1. Alfonso Bahillo
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  2. Barbara Goličnik Marušić
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  3. Asier Perallos
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Corresponding author

Correspondence to Alfonso Bahillo .

Editor information

Editors and Affiliations

  1. Universidad de Alicante, Alicante, Spain

    Juan M. García-Chamizo

  2. University of Calabria, Rende, Italy

    Giancarlo Fortino

  3. Universidad de Chile, Santiago, Chile

    Sergio F. Ochoa

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Bahillo, A., Goličnik Marušić, B., Perallos, A. (2015). A Mobile Application as an Unobtrusive Tool for Behavioural Mapping in Public Spaces. In: García-Chamizo, J., Fortino, G., Ochoa, S. (eds) Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information. UCAmI 2015. Lecture Notes in Computer Science(), vol 9454. Springer, Cham. https://doi.org/10.1007/978-3-319-26401-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-26401-1_2

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