Literature DB >> 24161300

Reducing online identity disclosure using warnings.

Sandra Carpenter1, Feng Zhu2, Swapna Kolimi2.   

Abstract

In an experimental design, we tested whether written warnings can reduce the amount of identity information exposure online. A psychological attack on information privacy that has been shown to be effective in previous research was launched. This attack took advantage of the fact that people respond to certain types of requests in a relatively automatic, or mindless, fashion. The experiment manipulated the word that was used in the alert header: "warning", "caution", or "hazard". All warnings proved to be effective in reducing disclosure, but "hazard" proved to be most effective. Also warnings were more effective in reducing disclosure of driver's license numbers than email addresses. The discussion (a) provides tentative conclusions why these patterns were obtained, (b) suggests how to design warnings in cyber-environments, and (c) addresses future possibilities for research on this topic.
Copyright © 2013 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Entities:  

Keywords:  Cybersecurity; Identity protection; Warnings

Mesh:

Year:  2013        PMID: 24161300     DOI: 10.1016/j.apergo.2013.10.005

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  3 in total

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Authors:  Athina Ioannou; Iis Tussyadiah; Graham Miller; Shujun Li; Mario Weick
Journal:  PLoS One       Date:  2021-08-27       Impact factor: 3.240

2.  Phishing suspiciousness in older and younger adults: The role of executive functioning.

Authors:  Brandon E Gavett; Rui Zhao; Samantha E John; Cara A Bussell; Jennifer R Roberts; Chuan Yue
Journal:  PLoS One       Date:  2017-02-03       Impact factor: 3.240

3.  Mental States: A Key Point in Scam Compliance and Warning Compliance in Real Life.

Authors:  Xin Wen; Liang Xu; Jie Wang; Yuan Gao; Jiaming Shi; Ke Zhao; Fuyang Tao; Xiuying Qian
Journal:  Int J Environ Res Public Health       Date:  2022-07-07       Impact factor: 4.614

  3 in total

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