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“Get that Camera Out of My House!” Conjoint Measurement of Preferences for Video-Based Healthcare Monitoring Systems in Private and Public Places

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Inclusive Smart Cities and e-Health (ICOST 2015)

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Abstract

Facing the healthcare challenges of an aging society, the expansion of AAL system implementation in private and public environments is a promising way to improve healthcare in future smart homes and cities. The present study evaluated preferences for different video-based medical monitoring scenarios, which comprised the attributes medical safety (improved detection of medical emergencies), privacy (handling of video information), type and location of camera in a conjoint analysis. Medical safety was identified as key driver for preferences. Acceptance for video-based medical monitoring systems in public places was comparably high, given that privacy was protected. In contrast, acceptance for video-based monitoring in smart home environments was rather low due to privacy concerns. Based on the findings, recommendation for AAL system design and implementation were derived.

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References

  1. World Health Organization (WHO): The European Health Report 2012: Charting the Way to Well-being. World Health Organization (2012)

    Google Scholar 

  2. Leonhardt, S.: Personal healthcare devices. In: AmIware Hardware Technology Drivers of Ambient Intelligence, pp. 349–370. Springer (2006)

    Google Scholar 

  3. Rosenbloom, S.: Sustainability and automobility among the elderly: An international assessment. Transportation. 28, 375–408 (2001)

    Article  Google Scholar 

  4. Denning, P.J.: The Invisible Future: The Seamless Integration of Technology into Everyday Life. McGraw-Hill, Inc (2001)

    Google Scholar 

  5. Rubenstein, L.Z.: Falls in older people: epidemiology, risk factors and strategies for prevention. Age Ageing. 35, ii37–ii41 (2006)

    Article  Google Scholar 

  6. Gurley, R.J., Lum, N., Sande, M., Lo, B., Katz, M.H.: Persons found in their homes helpless or dead. N. Engl. J. Med. 334, 1710–1716 (1996)

    Article  Google Scholar 

  7. Gururajan, R., Murugesan, S., Soar, J.: Introducing mobile technologies in support of healthcare. Cut. IT J. 18, 12–18 (2005)

    Google Scholar 

  8. Memon, M., Wagner, S.R., Pedersen, C.F., Beevi, F.H.A., Hansen, F.O.: Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes. Sensors. 14, 4312–4341 (2014)

    Article  Google Scholar 

  9. Cardinaux, F., Bhowmik, D., Abhayaratne, C., Hawley, M.S.: Video based technology for ambient assisted living: A review of the literature. J. Ambient Intell. Smart Environ. 3, 253–269 (2011)

    Google Scholar 

  10. Leijdekkers, P., Gay, V., Lawrence, E.: Smart homecare system for health tele-monitoring. In: ICDS 2007. First International Conference on the Digital Society, 2007, pp. 3–3 (2007)

    Google Scholar 

  11. Fleck, S., Strasser, W.: Smart Camera Based Monitoring System and Its Application to Assisted Living. Proc. IEEE. 96, 1698–1714 (2008)

    Article  Google Scholar 

  12. Chen, B.-W., Chen, C.-Y., Wang, J.-F.: Smart Homecare Surveillance System: Behavior Identification Based on State-Transition Support Vector Machines and Sound Directivity Pattern Analysis. IEEE Trans. Syst. Man Cybern. Syst. 43, 1279–1289 (2013)

    Article  Google Scholar 

  13. Yu, M., Rhuma, A., Naqvi, S.M., Wang, L., Chambers, J.: A Posture Recognition-Based Fall Detection System for Monitoring an Elderly Person in a Smart Home Environment. IEEE Trans. Inf. Technol. Biomed. 16, 1274–1286 (2012)

    Article  Google Scholar 

  14. Aghajan, H., Augusto, J.C., Wu, C., McCullagh, P., Walkden, J.-A.: Distributed vision-based accident management for assisted living. In: Okadome, T., Yamazaki, T., Makhtari, M. (eds.) ICOST. LNCS, vol. 4541, pp. 196–205. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  15. Patton, J.W.: Protecting privacy in public? Surveillance technologies and the value of public places. Ethics Inf. Technol. 2, 181–187 (2000)

    Article  Google Scholar 

  16. Wilkowska, W., Ziefle, M.: Privacy and data security in E-health: Requirements from the user’s perspective. Health Informatics J. 18, 191–201 (2012)

    Article  Google Scholar 

  17. Rogers, E.: Diffusion of Innovations. NY Free Press, New York (2003)

    Google Scholar 

  18. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 319–340 (1989)

    Google Scholar 

  19. Yarbrough, A.K., Smith, T.B.: Technology Acceptance among Physicians A New Take on TAM. Med. Care Res. Rev. 64, 650–672 (2007)

    Article  Google Scholar 

  20. Kowalewski, S., Arning, K., Minwegen, A., Ziefle, M., Ascheid, G.: Extending the Engineering Trade-Off Analysis by Integrating User Preferences in Conjoint Analysis. Expert Syst. Appl. 40, 2947–2955 (2013)

    Article  Google Scholar 

  21. Arning, K., Gaul, S., Ziefle, M.: ``Same Same but Different’’ how service contexts of mobile technologies shape usage motives and barriers. In: Leitner, G., Hitz, M., Holzinger, A. (eds.) USAB 2010. LNCS, vol. 6389, pp. 34–54. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  22. Luce, R.D., Tukey, J.W.: Simultaneous conjoint measurement: A new type of fundamental measurement. J. Math. Psychol. 1, 1–27 (1964)

    Article  MATH  Google Scholar 

  23. Arning, K., Ziefle, M., Kowalewski, S.: Health concerns vs. mobile data needs: Conjoint measurement of preferences for mobile communication network scenarios. Int. J. Hum. Ecol. Risk Assess. (2013)

    Google Scholar 

  24. Orme, B.: Interpreting the Results of Conjoint Analysis, Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research. Res. Publ. LLC Madison WI. 77–89 (2010)

    Google Scholar 

  25. Chrzan, K., Orme, B.: An overview and comparison of design strategies for choice-based conjoint analysis. Sawtooth Softw. Res. Pap. Ser. (2000)

    Google Scholar 

  26. Orme, B.K.: SSI Web v7. 0 Software for web interviewing and conjoint analysis. Sequim: Sawtooth Software. Inc (2011)

    Google Scholar 

  27. Orme, B.: Market simulators for conjoint analysis. Get. Started Conjoint Anal. Strateg. Prod. Des. Pricing Res. Second. Ed Madison Res. Publ. LLC (2010)

    Google Scholar 

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Authors and Affiliations

  1. Human Computer Interaction Center (HCIC), RWTH Aachen University, Campus Boulevard 57, 52074, Aachen, Germany

    Katrin Arning & Martina Ziefle

Authors
  1. Katrin Arning
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  2. Martina Ziefle
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Corresponding author

Correspondence to Katrin Arning .

Editor information

Editors and Affiliations

  1. University of Geneva, Geneva, Switzerland

    Antoine Geissbühler

  2. Université Joseph Fourier, Grenoble, France

    Jacques Demongeot

  3. Institut Mines Télécom Paris, CNRS IPAL (UMI 2955 Singapore), Paris, France

    Mounir Mokhtari

  4. Université de Sherbrooke, Sherbrooke, Québec, Canada

    Bessam Abdulrazak

  5. Institut Mines Télécom, CNRS LIRMM, Paris, France

    Hamdi Aloulou

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© 2015 Springer International Publishing Switzerland

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Arning, K., Ziefle, M. (2015). “Get that Camera Out of My House!” Conjoint Measurement of Preferences for Video-Based Healthcare Monitoring Systems in Private and Public Places. In: Geissbühler, A., Demongeot, J., Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Inclusive Smart Cities and e-Health. ICOST 2015. Lecture Notes in Computer Science(), vol 9102. Springer, Cham. https://doi.org/10.1007/978-3-319-19312-0_13

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  • DOI: https://doi.org/10.1007/978-3-319-19312-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19311-3

  • Online ISBN: 978-3-319-19312-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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