Advertisement

Exploring the Design of Pay-Per-Use Objects in the Construction Domain

  • Daniel Fitton
  • Vasughi Sundramoorthy
  • Gerd Kortuem
  • James Brown
  • Christos Efstratiou
  • Joe Finney
  • Nigel Davies
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5279)

Abstract

Equipment used in the construction domain is often hired in order to reduce cost and maintenance overhead. The cost of hire is dependent on the time period involved and does not take into account the actual use equipment has received. This paper presents our initial investigation into how physical objects augmented with sensing and communication technologies can measure use in order to enable new pay-per-use payment models for equipment hire. We also explore user interaction with pay-per-use objects via mobile devices. The user interactions that take place within our prototype scenario range from simple information access to transactions involving multiple users. This paper presents the design, implementation and evaluation of a prototype pay-per-use system motivated by a real world equipment hire scenario. We also provide insights into the various challenges introduced by supporting a pay-per-use model, including data storage and data security in addition to user interaction issues.

Keywords

Smart Objects Pay-Per-Use User Interaction Mobile HCI 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Norwich Union Pay As You Drive Insurance, http://www.norwichunion.com/pay-as-you-drive
  2. 2.
  3. 3.
  4. 4.
    Kortuem, G., Alford, D., Ball, L., Busby, J., Davies, N., Efstratiou, C., Finney, J., White, M.I., Kinder, K.: Sensor Networks or Smart Artifacts? An Exploration of Organizational Issues of An Industrial Health and Safety Monitoring System. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds.) UbiComp 2007. LNCS, vol. 4717, pp. 465–482. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  5. 5.
    Davies, N., Efstratiou, C., Finney, J., Hooper, R., Kortuem, G., Lowton, M.: Sensing Danger – Challenges in Supporting Health and Safety Compliance in the Field. In: 8th IEEEWorkshop on Mobile Computing Systems and Applications (HotMobile 2007), Tucson, Arizona, February 26-27 (2007)Google Scholar
  6. 6.
    Efstratiou, C., Davies, N., Kortuem, G., Finney, J., Hooper, R., Lowton, M.: Experiences of Designing and Deploying Intellignent Sensor Nodes to Monitor Hand-Arm Vibrations in the Field. In: ACM MobiSys 2007, San Juan, Puerto Rico, pp. 127–138. ACM Press, New York (2007)Google Scholar
  7. 7.
    Brown, J., Finney, F., Efstratiou, C., Green, B., Davies, N., Lowton, M., Kortuem, G.: Network Interrupts: Supporting Delay Sensitive Applications in Low Power Wireless Control Networks. In: Proceedings ACM MobiCom 2007 Workshop on Challenged Networks (CHANTS 2007), Montreal, Canada, September 14 (2007)Google Scholar
  8. 8.
    Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In: 33rd Hawaii international Conference on System Sciences, vol. 8. IEEE Press, Washington (2000)Google Scholar
  9. 9.
  10. 10.
    Kirisci, P.T., Hunecke, H.-H., Hribernik, K.A., Dikici, C.: A wireless solution for mobile collaboration on construction sites. In: IEEE International Workshop on Wireless Ad-Hoc Networks, Oulu, Finland, pp. 166–171. IEEE Press, Los Alamitos (2004)Google Scholar
  11. 11.
    Kelly, F.: Road pricing. Ingenia 29, pp. 34–40 (2006), http://www.ingenia.org.uk/ingenia/issues/issue29/kelly.pdf
  12. 12.
    Coroama, V.: The Smart Tachograph - Individual Accounting of Traffic Costs and Its Implications. In: Fishkin, K.P., Schiele, B., Nixon, P., Quigley, A. (eds.) PERVASIVE 2006. LNCS, vol. 3968, pp. 135–152. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  13. 13.
    Rukzio, E., Paolucci, M., Wagner, M., Berndt, H., Hamard, J., Schmidt, A.: Mobile service interaction with the web of things. In: 13th International Conference on Telecommunications, Funchal, Madeira island, Portugal, May 9-12 (2006)Google Scholar
  14. 14.
    Rukzio, E., Broll, G., Leichtenstern, K., Schmidt, A.: Mobile interaction with the real world: An evaluation and comparison of physical mobile interaction techniques. In: European Conference on Ambient Intelligence, Darmstadt, Germany, November 7-10 (2007)Google Scholar
  15. 15.
    Akyildiz, I.F., Su, W., Sankarasubramanisam, Y., Cayirci, E.: Wireless sensor networks: a survey. Computer Networks 38(4), 393–422 (2002)CrossRefGoogle Scholar
  16. 16.
    Romer, K., Mattern, F.: The Design Space of Wireless Sensor Networks. In: IEEE Wireless Communications, pp. 54–61 (2004)Google Scholar
  17. 17.
    Madden, S.R., Franklin, M.J., Hellerstein, J.M., Hong, W.: The design of an acquisitional query processor for sensor networks. In: 22nd ACM SIGMOD International Conference on Management of Data, pp. 491–502 (2003)Google Scholar
  18. 18.
    Beutel, J., Kasten, O., Mattern, F., Romer, K., Siegemund, F., Thiele, L.: Prototyping wireless sensor network applications with BTnodes. In: Karl, H., Wolisz, A., Willig, A. (eds.) EWSN 2004. LNCS, vol. 2920, pp. 323–338. Springer, Heidelberg (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Daniel Fitton
    • 1
  • Vasughi Sundramoorthy
    • 1
  • Gerd Kortuem
    • 1
  • James Brown
    • 1
  • Christos Efstratiou
    • 1
  • Joe Finney
    • 1
  • Nigel Davies
    • 1
  1. 1.Computing DepartmentLancaster UniversityLancasterUK

Personalised recommendations