Developing Ambient Support Technology for Risk Management in the Mining Industry

  • Helena LindgrenEmail author
  • Lage Burström
  • Bengt Järvholm
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 291)


There is a major goal in the mining industry to reduce risks and maintain health in work environments. Moreover, the industry is obliged to monitor the risks in work environment as well as employers’ health statuses. The potentials in using ambient information for the purpose to reduce risks, prevent work-related injuries and monitor health in individuals has been explored. Applications tailored to the individual are being developed to aid the worker in mining or mining-related work environments in valuing the risks of their work situation and create awareness in the individual about how he or she can decrease risks for primarily physical damages. The purpose is to encourage the worker to act upon the level of risk for injuries, and upon the new insights the worker gain from the applications. The identified opportunities for and obstacles to integrating ambient information in these health applications are discussed.


Ambient intelligence Occupational health Mining industry End-user development Behavior change systems 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Davidson, E., Heslinga, D.: Bridging the IT Adoption Gap for Small Physician Practices: An Action Research Study on Electronic Health Records. Information Systems Management 24(1), 15–28 (2007)CrossRefGoogle Scholar
  2. 2.
    Simonsen, J., Hertzum, M.: Iterative Participatory Design. In: Simonsen, J., Brenholdt, J.O., Büscher, M., Scheuer, J.D. (eds.) Design Research: Synergies from Interdisciplinary Perspectives, pp. 16–32. Routledge, London (2010)Google Scholar
  3. 3.
    Pettersson-Strömbäck, A.: Chemical exposure in the work place: mental models of workers and experts. Umeå, UmeåUniversity (2008)Google Scholar
  4. 4.
    Pettersson-Strömbäck, A., Liljelind, I., Neely, G., Järvholm, B.: Workers’ interpretation of self-assessment of exposure. Ann. Occup. Hyg. 52(7), 663–671 (2008)CrossRefGoogle Scholar
  5. 5.
    Lindgren, H., Winnberg, P.J., Winnberg, P.: Domain Experts Tailoring Interaction to Users – An Evaluation Study. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds.) INTERACT 2011, Part III. LNCS, vol. 6948, pp. 644–661. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  6. 6.
    Fogg, B.J.: Persuasive Technology: Using Computers to Change What We Think and Do. Morgan Kaufmann Publishers, San Francisco (2003)Google Scholar
  7. 7.
    Fogg, B.J.: A Behavior Model for Persuasive Design. In: Persuasive 2009, April 26-29. Claremont, California (2009)Google Scholar
  8. 8.
    Consolvo, S., Everitt, K., Smith, I., Landay, J.A.: Design requirements for technologies that encourage physical activity. In: Proc. The Conference on Human Factors in Computing Systems (ACM SIGCHI), pp. 457–466 (2006)Google Scholar
  9. 9.
    Purpura, S., Schwanda, V., Williams, K., Stubler, W., Sengers, P.: Fit4life: the design of a persuasive technology promoting healthy behavior and ideal weight. In: Proc. of the Conference on Human Factors in Computing Systems (ACM SIGCHI), pp. 423–432 (2011)Google Scholar
  10. 10.
    Colineau, N., Paris, C.: Motivating reflection about health within the family: the use of goal setting and tailored feedback. UMUAI 21(4-5), 341–376 (2011)Google Scholar
  11. 11.
    Oinas-Kukkonen, H.: Behavior Change Support Systems: A Research Model and Agenda. In: Ploug, T., Hasle, P., Oinas-Kukkonen, H. (eds.) PERSUASIVE 2010. LNCS, vol. 6137, pp. 4–14. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  12. 12.
    Ryan, R.M., Deci, E.L.: Self-determination Theory and the Facilitation of Intrinsic Motivation, Social Development & Well-being. American Psychologist 55, 68–78 (2000)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Helena Lindgren
    • 1
    Email author
  • Lage Burström
    • 2
  • Bengt Järvholm
    • 2
  1. 1.Department of Computing ScienceUmeå UniversityUmeåSweden
  2. 2.Occupational and Environmental Medicine, Department of Public Health and Clinical MedicineUmeå UniversityUmeåSweden

Personalised recommendations