Using process tracing to improve household IoT users’ privacy decisions
Technische Universiteit Eindhoven - Eindhoven University of Technology , University of California, University of California at Irvine, Donald Bren School of Information and Computer Sciences , Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit - Department of Industrial Engineering & Innovation Sciences, Human Technology Interaction (HTI) , Clemson University , Clemson University , University of California
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Technische Universiteit Eindhoven - Eindhoven University of Technology , University of California, University of California at Irvine, Donald Bren School of Information and Computer Sciences , Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit - Department of Industrial Engineering & Innovation Sciences, Human Technology Interaction (HTI) , Clemson University , Clemson University , University of California
Devices in our home are becoming more intelligent and increasingly communicating with each other via the internet. This Internet of Things supports daily activities and increases ease of use and safety at home. As a user, you have to make a trade-off between your privacy and functionality. These kinds of decisions are difficult and mistakes and inconsistencies in privacy settings are easily made. Moreover, privacy settings are often still hidden deep in the interface and difficult to use. By observing the decision-making process, this research aims to better understand how, when and why these types of privacy decisions often fail.
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