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Factors Predicting Explicit and Implicit Attitudes Towards Body Scanners

Author

Listed:
  • Magdalena Laib

    (Information Experience and Design Research Group, Stuttgart Media University.)

  • Larissa Wolkenstein

    (Division of Clinical Psychology and Psychotherapy, Ludwig-Maximilians-University Munich.)

Abstract
Many ethical concerns have been raised about the implementation of body scanners at airports. However, no study thus far has investigated which factors influence the attitudes of the general public towards body scanners. Thus, the current study aimed to find variables predicting the implicit and explicit attitudes towards body scanners. Different sociodemographic and personality variables have been taken into account. Explicit attitudes were assessed by a questionnaire and implicit attitudes were assessed by the Single Target Implicit Association Test. Women worried more about the effects of a body scan and requested more information than men. People with more knowledge about body scanners worried more about possible discrimination through body scanners. In trend, people more enthusiastic about technology had a more negative implicit attitude towards body scanners. Implicit and explicit attitudes did not correlate. The findings emphasize the importance of integrating different kinds of users in the design and development of security technologies to account for different opinions, needs and worries. Moreover, we suggest using knowledge that is gained in these kind of studies to train airport employees. Classification JEL : C12; C90; L93; O33

Suggested Citation

  • Magdalena Laib & Larissa Wolkenstein, 2016. "Factors Predicting Explicit and Implicit Attitudes Towards Body Scanners," Review of Social Sciences, LAR Center Press, vol. 1(5), pages 18-33, May.
    • Handle: RePEc:lrc:larrss:v:1:y:2016:i:5:p:18-33
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    File URL: http://www.socialsciencejournal.org/index.php/site/article/view/33/22
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    More about this item

    Keywords

    Body scanner; explicit attitude; implicit attitude; Security technology; ST-IAT.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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