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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

Opinions or Algorithms: An Investigation of Trust in People Versus Automation in App Store Security

verfasst von : David Schuster, Mary L. Still, Jeremiah D. Still, Ji Jung Lim, Cary S. Feria, Christian P. Rohrer

Erschienen in: Human Aspects of Information Security, Privacy, and Trust

Verlag: Springer International Publishing

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Abstract

Mobile application (app) stores are a critical source of information about risk in an uncertain environment. App stores ought to assess and communicate the risk associated with an installation so that users are discouraged from installing risky or harmful apps in app stores. However, only a limited number of studies offer designers information about how to communicate risk effectively. We focused on the user’s trust associated with security information stemming from crowd-sourced evaluations compared to those generated from an automated system. Both of these sources of security information are pervasively used to indicate possible risk associated with an app. We investigated whether biases exist for a particular source of information given similar amount of security information being available. We found that participants preferred to install apps rated by automation to those rated by humans despite equivalence in stated risk. Further, we found evidence of a gender difference in trust in automation.

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Metadaten
Titel
Opinions or Algorithms: An Investigation of Trust in People Versus Automation in App Store Security
verfasst von
David Schuster
Mary L. Still
Jeremiah D. Still
Ji Jung Lim
Cary S. Feria
Christian P. Rohrer
Copyright-Jahr
2015
Buch
Human Aspects of Information Security, Privacy, and Trust

Print ISBN: 978-3-319-20375-1

Electronic ISBN: 978-3-319-20376-8

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-20376-8_37