Skip to main content

Mobile Training in the Real World for Community Disaster Responders

  • Conference paper
Mobile Computing, Applications, and Services (MobiCASE 2012)

Abstract

This paper describes the design and initial evaluation of a mobile application for training Community Emergency Response Teams. Our goal is to model the kind of remediation and performance support provided in high-end eLearning systems, and provide it during hands-on learning in the real world, using mobile phones and sensors embedded in the environment. Thus far we have designed the learning system and tested it with real users, simulating sensor-based activity recognition using an Android-based Wizard of Oz system that we have developed. Our initial user tests found that users were able to use the system to complete tasks, including some that they had never done before. They had little difficulty understanding the interaction mechanism, and overall reacted positively to the system. Though learner reaction was generally positive, these user tests yielded important feedback about ways we can better manage the division between the real world and the digital world.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Bransford, J., Brown, A., Cocking, R. (eds.): How People Learn: Brain, Mind, Experience, and School. National Academy Press, Washington, D.C. (2000)

    Google Scholar 

  2. Linnell, N., Bareiss, R., Pantic, K.: A Wizard of Oz Tool for Android. Presented as a poster at Mobile HCI (2012)

    Google Scholar 

  3. Nguyen, T.L., Zhang, Y.: Probabilistic Infrastructureless Positioning in the Pocket. In: Zhang, J.Y., Wilkiewicz, J., Nahapetian, A. (eds.) MobiCASE 2011. LNICST, vol. 95, pp. 311–330. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  4. Mokaya, F., Kuo, C., Zhang, P.: MARS: A Muscle Activity Recognition System Using Inertial Sensors. In: ACM/IEEE Conference on Information Processing in Sensor Networks (ISPN) (2012)

    Google Scholar 

  5. Linnell, N., Bareiss, R., Griss, M.: Contextualized Mobile Support for Learning By Doing in the Real World. Ubiquitous Learning Journal (2012)

    Google Scholar 

  6. Wang, Y.: Context Awareness and Adaptation in Mobile Learning. In: Proceedings of the 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE 2004), pp. 154–158 (2004)

    Google Scholar 

  7. Hwang, G., Tsai, C., Yang, S.: Criteria, Strategies and Research Issues of Context-Aware Ubiquitous Learning. Educational Technology & Society 11(2), 81–91 (2008)

    Google Scholar 

  8. Beale, R., Lonsdale, P.: Mobile Context Aware Systems: The Intelligence to Support Tasks and Effectively Utilise Resources. In: Brewster, S., Dunlop, M.D. (eds.) Mobile HCI 2004. LNCS, vol. 3160, pp. 240–251. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  9. Lonsdale, P., Baber, C., Sharples, M., Byrne, W., Arvanitis, T., Brundell, P., Beale, R.: Context awareness for MOBIlearn: Creating an engaging learning experience in an art museum. In: Attewell, J., Savill-Smith, C. (eds.) Mobile Learning Anytime Everywhere: A Book of Papers from MLEARN 2004, pp. 115–118 (2004)

    Google Scholar 

  10. Davies, N., Cheverst, K., Mitchell, K., Efrat, A.: Using and determining location in a context-sensitive tour guide. IEEE Computer, 35–41 (August 2001)

    Google Scholar 

  11. Hwang, G., Yang, T., Tsai, C., Yang, S.: A context-aware ubiquitous learning environment for conducting complex science experiments. Computers & Education 53(2), 402–413 (2009)

    Article  Google Scholar 

  12. El-Bishouty, M., Ogata, H., Yano, Y.: Personalized knowledge awareness pap in computer supported ubiquitous learning. In: Sixth International Conference on Advanced Learning Technologies, pp. 817–821 (July 2006)

    Google Scholar 

  13. Kwapisz, J., Weiss, G., Moore, S.: Activity recognition using cell phone accelerometers. ACM SIGKDD 12(2), 42–43 (2010)

    Google Scholar 

  14. Aipperspach, R., Cohen, E., Canny, J.: Modeling human behavior from simple sensors in the home. In: Proceedings of IEEE Conference on Pervasive Computing, pp. 337–348 (April 2006)

    Google Scholar 

  15. Chennuru, S., Chen, P.-W., Zhu, J., Zhang, J.Y.: Mobile Lifelogger – Recording, Indexing, and Understanding a Mobile User’s Life. In: Gris, M., Yang, G. (eds.) MobiCASE 2010. LNICST, vol. 76, pp. 263–281. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  16. Patterson, D.J., Liao, L., Fox, D., Kautz, H.: Inferring High-Level Behavior from Low-Level Sensors. In: Dey, A.K., Schmidt, A., McCarthy, J.F. (eds.) UbiComp 2003. LNCS, vol. 2864, pp. 73–89. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Linnell, N., Bareiss, R., Pantic, K. (2013). Mobile Training in the Real World for Community Disaster Responders. In: Uhler, D., Mehta, K., Wong, J.L. (eds) Mobile Computing, Applications, and Services. MobiCASE 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36632-1_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-36632-1_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36631-4

  • Online ISBN: 978-3-642-36632-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics