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Risk perception of mobile communication: a mental models approach

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  • Marie-Eve Cousin
  • Michael Siegrist

Abstract

Some lay people confronted with a new base station project fear serious health consequences from the high-frequency radiation, while experts consider exposure under the current international standards as unproblematic. These conflictive estimations may be attributed to the different mental models of lay people and experts. Less is known about lay people's knowledge in regard to mobile communication and their intuitive understanding of the associated health risks. An adaptation of the 'Mental Models Approach' was used to reveal lay people's beliefs about mobile communication and to learn more about lay people's information requirements, potential knowledge gaps, and misconceptions. Through the means of open interviews with Swiss experts ( N = 16), lay people ( N = 16), and base station opponents ( N = 15), different mental models were constructed and evaluated. Comparisons between the expert and the lay groups showed several qualitative differences in all identified knowledge domains. Knowledge gaps in regard to changing exposure magnitudes due to the interaction patterns of cell phones and base stations as well as misconceptions about regulation issues and scientific processes were found in both lay groups. In addition, lack of trust in responsible actors and disaffection with base station location processes were mentioned. The reported qualitative insights may be useful for the improvement of further risk communication tools.

Suggested Citation

  • Marie-Eve Cousin & Michael Siegrist, 2010. "Risk perception of mobile communication: a mental models approach," Journal of Risk Research, Taylor & Francis Journals, vol. 13(5), pages 599-620, July.
  • Handle: RePEc:taf:jriskr:v:13:y:2010:i:5:p:599-620
    DOI: 10.1080/13669870903236751
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    Citations

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    Cited by:

    1. Angela Bearth & Marie‐Eve Cousin & Michael Siegrist, 2016. "“The Dose Makes the Poison”: Informing Consumers About the Scientific Risk Assessment of Food Additives," Risk Analysis, John Wiley & Sons, vol. 36(1), pages 130-144, January.
    2. Liesbeth Claassen & Ann Bostrom & Danielle R.M. Timmermans, 2016. "Focal points for improving communications about electromagnetic fields and health: a mental models approach," Journal of Risk Research, Taylor & Francis Journals, vol. 19(2), pages 246-269, February.
    3. Zhu, Xun & Pasch, Timothy J. & Bergstrom, Aaron, 2020. "Understanding the structure of risk belief systems concerning drone delivery: A network analysis," Technology in Society, Elsevier, vol. 62(C).
    4. Frederik Freudenstein & Luis M. Correia & Carla Oliveira & Daniel Sebastião & Peter M. Wiedemann, 2015. "Exposure Knowledge and Perception of Wireless Communication Technologies," IJERPH, MDPI, vol. 12(11), pages 1-15, November.
    5. Peter M. Wiedemann & Frederik Freudenstein & Christoph Böhmert & Joe Wiart & Rodney J. Croft, 2017. "RF EMF Risk Perception Revisited: Is the Focus on Concern Sufficient for Risk Perception Studies?," IJERPH, MDPI, vol. 14(6), pages 1-13, June.
    6. Christoph Boehmert & Peter Wiedemann & Rodney Croft, 2016. "Improving Precautionary Communication in the EMF Field? Effects of Making Messages Consistent and Explaining the Effectiveness of Precautions," IJERPH, MDPI, vol. 13(10), pages 1-18, October.
    7. Loredana Ivan & Mireia Fernández-Ardèvol, 2017. "Older People, Mobile Communication and Risks," Societies, MDPI, vol. 7(2), pages 1-16, April.
    8. Piers Fleming & Ellen Townsend & Joost A. van Hilten & Alexa Spence & Eamonn Ferguson, 2012. "Expert relevance and the use of context-driven heuristic processes in risk perception," Journal of Risk Research, Taylor & Francis Journals, vol. 15(7), pages 857-873, August.
    9. John T. Brady, 2012. "Health risk perceptions across time in the USA," Journal of Risk Research, Taylor & Francis Journals, vol. 15(6), pages 547-563, June.
    10. Rojalin Pradhan & Mahim Sagar & Tushar Pandey & Ishwar Prasad, 2019. "Consumer health risk awareness model of RF-EMF exposure from mobile phones and base stations: An exploratory study," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 16(1), pages 125-145, March.
    11. Nick Boase & Mathew White & William Gaze & Clare Redshaw, 2017. "Evaluating the Mental Models Approach to Developing a Risk Communication: A Scoping Review of the Evidence," Risk Analysis, John Wiley & Sons, vol. 37(11), pages 2132-2149, November.
    12. Zaunbrecher, Barbara S. & Linzenich, Anika & Ziefle, Martina, 2017. "A mast is a mast is a mast…? Comparison of preferences for location-scenarios of electricity pylons and wind power plants using conjoint analysis," Energy Policy, Elsevier, vol. 105(C), pages 429-439.
    13. Simone Dohle & Carmen Keller & Michael Siegrist, 2012. "Fear and anger: antecedents and consequences of emotional responses to mobile communication," Journal of Risk Research, Taylor & Francis Journals, vol. 15(4), pages 435-446, April.
    14. Wändi Bruine de Bruin & Lauren A. Mayer & M. Granger Morgan, 2015. "Developing communications about CCS: three lessons learned," Journal of Risk Research, Taylor & Francis Journals, vol. 18(6), pages 699-705, June.

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