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Scandinavian Conference on Information Systems

SCIS 2015: Nordic Contributions in IS Research pp 44–60Cite as

Leveraging the Usage of Sensors and the Social Web: Towards Systems for Socially Challenging Situations

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 223))

Abstract

This paper studies the design of information systems that leverage the use of both sensors and the social web, while addressing solutions for children in socially challenging situations. Socially challenging situations are defined as situations in which one experiences negative social pressure and, therefore, requires immediate help from trusted people. The authors first provide a glimpse into the rapid development in sensors and the rise in the importance of the social web. The paper then sheds light on the theme of socially challenging situations, which is elaborated through two workshops, and defines the core areas of focus. Further, a low-fidelity prototype for the safety of children is created and evaluated in a small-scale user experiment. The state of the current technology is then reviewed in order to visualize the possible practical realization of solutions. The outcomes of these steps provide interesting insights for possible future work.

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References

  1. Abbas, R., Michael, K., Michael, M.G., Aloudat, A.: Emerging forms of covert surveillance using GPS enabled devices. JCIT 13(2), 19–33 (2011)

    Google Scholar 

  2. Affectiva Q-Sensor. http://www.affdex.com

  3. AIRS-Record your life app. http://play.google.com

  4. Aggarwal, C., Abdelzaher, T.: Integrating sensors and social networks. In: Aggarwal, C.C. (ed.) Social Network Data Analytics, pp. 379–412. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  5. Archer, J., Cote, S.: Sex differences in aggressive behavior. In: Tremblay, R.E., Hartup, W.W., Archer, J. (eds.) Developmental Origins of Agg, pp. 425–443. Guilford, New York (2005)

    Google Scholar 

  6. Arizona State University. http://azte.technologypublisher.com/technology/9999

  7. AutoSense Project. https://sites.google.com/site/autosenseproject/

  8. AWARE. Android Mobile Context Instr. Framework. http://www.awareframework.com

  9. Bakker, J., Pechenizkiy, M., Sidorova, N.: What’s your current stress level? detection of stress patterns from GSR sensor data. In: 11th ICDMW (2001)

    Google Scholar 

  10. Berry, D.M.: Critical Theory and the Digital. Bloomsbury Publishing, New York (2014)

    Google Scholar 

  11. Bristow, J.: Mobile Phones and Child Protection: How Far Should We Go? Report Spiked! Online (2006)

    Google Scholar 

  12. Cardone, G., Cirri, A., Corradi, A., Foschini, L., Maio, D.: MSF: an efficient mobile phone sensing framework, IJDSN (2013)

    Google Scholar 

  13. Chan, M., Estève, D., Fourniols, J.Y., Escriba, C., Campo, E.: Smart wearable systems: current status and future challenges. AI Med. 56(3), 137–156 (2012)

    Google Scholar 

  14. Cloak – Social Sense app. http://itunes.apple.com

  15. Colunas, M.F.M., Fernandes, J.M.A., Oliveira, I.C., Cunha, J.P.S.: Droid jacket: using an android based smartphone for team monitoring. In: IWCMC (2011)

    Google Scholar 

  16. Conner, M.: Sensors empower “the Internet of things”, Technical Editor EDN Networks, 27 May 2010

    Google Scholar 

  17. Conover, J.: MYLO: Active Threat Recognition System. HoopBoom Inc., Asbury city (2012). http://www.hoopboom.com

    Google Scholar 

  18. Consolvo, S., McDonald, D.W., Toscos, T., Chen, M.Y., Froehlich, J., Harrison, B., Klasnja, P., LaMarca, A., LeGrand, L., Libby, R., Smith, I., Landay, J.A.: Activity sensing in the wild: a field trial of ubifit garden. In: CHI. ACM (2008)

    Google Scholar 

  19. Curmi, F., Ferrario, M.A., Southern, J., Whittle, J.: HeartLink: open broadcast of live biometric data to social networks. In: CHI. ACM (2013)

    Google Scholar 

  20. Czeskis, A., Dermendjieva, I., Yapit, H., Borning, A., Friedman, B., Gill, B., Kohno, T.: Parenting from the pocket: value tensions and technical directions for secure and private parent teen mobile safety. In: 6th SOUPS (2010)

    Google Scholar 

  21. Efstratiou, C., Leontiadis, I., Picone, M., Rachuri, K.K., Mascolo, C., Crowcroft, J.: Sense and Sensibility in a pervasive world. In: 10th ICPC, pp. 406–424 (2012)

    Google Scholar 

  22. Endomondo. http://www.endomondo.com/

  23. Fairgrieve, S., Falke, S.: Sensor web standards and the Internet of things. COM.Geo. ACM (2011)

    Google Scholar 

  24. Google Glass. http://www.google.com/glass/start/

  25. Google, Project Glass – One day. http://www.youtube.com/watch?v=9c6W4CCU9M4

  26. GottaSplit Application. http://gottasplit.com

  27. Hellhammer, D., Wust, S., Kudielka, B.: Salivary cortisol as a biomarker in stress research. Psychoneuroendocrinology 34(2), 163–171 (2009)

    Article  Google Scholar 

  28. Mobile social networking applications: Jabeur, N., Zeadally, S., B. Sayed, B. Comm. ACM 56, 71–79 (2013)

    Article  Google Scholar 

  29. Jedrzejczyk, L., Price, B. A, Bandara, A.K., Nuseibeh, B.: On The impact of realtime feedback on users’ behaviour. In: Mobile Location Sharing Applications. SOUPS (2010)

    Google Scholar 

  30. Kraft, P., Drozd, F., Olsen, E.: ePsychology: designing theory-based health promotion interventions. Comm. AIS 24, 24 (2009)

    Google Scholar 

  31. Küpper, A., Bareth, U., Freese, B.: Geofencing and Background tracking – the next features in LBSs. In: INFORMATIK (2011)

    Google Scholar 

  32. Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., Campbell, A. T.: A survey of mobile phone sensing. Comm Mag 48, 9 (Sep), 140–150 (2010)

    Google Scholar 

  33. Lo, B., Thiemjarus, S., King, R., Yang, G.Z.: Body sensor network - a wireless sensor platform for pervasive healthcare monitoring. In: 3rd IICPC (2005)

    Google Scholar 

  34. Mattila, M.: Mobile technologies for child protection: a briefing note. In: UNICEF WCARO (2011)

    Google Scholar 

  35. Mian, S.Q., Teixeira, J., Koskivaara, E.: Open-source software implications in the competitive mobile platforms market. In: Skersys, T., Butleris, R., Nemuraite, L., Suomi, R. (eds.) Building the e-World Ecosystem. IFIP AICT, vol. 353, pp. 110–128. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  36. Miluzzo, E., Lane, N.D., Fodor, K., Peterson, R., Lu, H., Musolesi, M., Eisenman, S.B., Zheng, X., Campbell, A.T.: Sensing Meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe application, SenSys.ACM (2008)

    Google Scholar 

  37. Mobiloco Application. http://www.mobiloco.de

  38. Morozov E.: To save everything, click here: technology, solutionism, and the urge to fix problems that don’t exist. Penguin, UK (2013)

    Google Scholar 

  39. My Mobile Witness. http://mymobilewitness.com

  40. NaVee, FreeFamilyWatch. http://pdroms.de/android/freefamilywatch-android-application

  41. Nike Plus. http://www.nike.com/us/en_us/c/nikeplusfuelband

  42. Oinas-Kukkonen, H.: A foundation for the study of behavior change support systems. Pers. Ubiquit. Comput. 17(6), 1223–1235 (2013)

    Article  Google Scholar 

  43. Oinas-Kukkonen, H., Oinas-Kukkonen, H.: Humanizing the Web, Change and Social Innovation. Palgrave Macmillan, Basingstoke (2013)

    Book  Google Scholar 

  44. Pavel, D., Callaghan, V., Dey, A.K.: Supporting wellbeing through improving interactions and understanding in self-monitoring systems. In: AI and SE, vol. 11, pp. 408–433 (2012)

    Google Scholar 

  45. Picard, R.: Affective Computing. MIT Press, Cambridge (1997)

    Book  Google Scholar 

  46. Polar Personal Trainer. http://www.polarpersonaltrainer.com

  47. Project Salus: Research shows how computers can help combat bullying in schools. University of Kent (2012)

    Google Scholar 

  48. PSI Lab, Stress Measurement. http://psi.cse.tamu.edu/portfolio_item/stress-measurement/

  49. Rawassizadeh, R., Tomitsch, M., Wac, K., Tjoa, A.M.: UbiqLog: a generic mobile phonebased lifelog framework. Per. Ubi. Comp. 17(4), 621–637 (2013)

    Article  Google Scholar 

  50. Riedl, R., Kindermann, H., Auinger, A., Javor, A.: Technostress from a neurobiological perspective - system breakdown increases the stress hormone cortisol in computer users. BISE 4(2), 61–69 (2012)

    Google Scholar 

  51. Riedl, R.: On the biology of technostress: literature review and research agenda. SIGMIS Database 44(1), 18–55 (2013)

    Article  Google Scholar 

  52. Riedl, R., Davis, F.D., Hevner, A.R.: Towards a NeuroIS research methodology: intensifying the discussion on methods, tools, and measurement. JAIS 15(10), 4 (2014)

    Google Scholar 

  53. Saranya, J., Selvakumar, J.: Implementation of children tracking system on android mobile terminals. In: ICCSP, pp. 961–965 (2013)

    Google Scholar 

  54. Sensor Networks. http://www.citysense.com

  55. Sensors. http://what-is-a-sensor.com/

  56. Shankar, P., Huang, Y.W., Castro, P., Nath, B., Iftode, L.: Crowds replace experts: building better LBS using mobile social network interactions, Perv. Comp, 20–29 (2012)

    Google Scholar 

  57. Stress Watch. http://www.stresswatch.com

  58. Tams, S., Hill, K., Ortiz de Guinea, A., Thatcher, J., Grover, V.: NeuroIS—alternative or complement to existing methods? Illustrating the holistic effects of neuroscience and self-reported data in the context of technostress research. JAIS 15(10), 1 (2014)

    Google Scholar 

  59. Teixeira, J., Mian S.Q.: Open-source mobile software for sports: a new disruptive phenomenon in an Era of innovative devices. In: IADIS (2011)

    Google Scholar 

  60. The Stress Check. http://www.azumio.com

  61. Wearable Comp. http://www.ethlife.ethz.ch/archive_articles/100308_stress_assistent_per/

  62. Zickuhr, K. Survey of LBS. http://pewinternet.org/Reports/2013/Location.asp

  63. 360-Alert, Life Safety Technology. http://www.alert360.com

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Acknowledgements

This work was carried out as part of the SEWEB research project on Sensors and the Social Web (40027/13, 40028/13). It was funded by TEKES, the Finnish Funding Agency for Technology and Innovation. The research was part of the OASIS research group of the Martti Ahtisaari Institute, University of Oulu.

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Authors and Affiliations

  1. University of Oulu, Linnanmaa, 90570, Oulu, Finland

    Salman Qayyum Mian, Harri Oinas-Kukkonen & Jukka Riekki

Authors
  1. Salman Qayyum Mian
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  2. Harri Oinas-Kukkonen
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  3. Jukka Riekki
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Corresponding author

Correspondence to Salman Qayyum Mian .

Editor information

Editors and Affiliations

  1. University of Oulu, Oulu, Finland

    Harri Oinas-Kukkonen

  2. University of Oulu, Oulu, Finland

    Netta Iivari

  3. University of Oulu, Oulu, Finland

    Kari Kuutti

  4. University of Oulu, Oulu, Finland

    Anssi Öörni

  5. University of Oulu, Oulu, Finland

    Mikko Rajanen

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Mian, S.Q., Oinas-Kukkonen, H., Riekki, J. (2015). Leveraging the Usage of Sensors and the Social Web: Towards Systems for Socially Challenging Situations. In: Oinas-Kukkonen, H., Iivari, N., Kuutti, K., Öörni, A., Rajanen, M. (eds) Nordic Contributions in IS Research. SCIS 2015. Lecture Notes in Business Information Processing, vol 223. Springer, Cham. https://doi.org/10.1007/978-3-319-21783-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-21783-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21782-6

  • Online ISBN: 978-3-319-21783-3

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