Digital Behavioral Biometrics and Privacy: Methods for Improving Business Processes without Compromising Customer Privacy
AffiliationUniversity of Arizona, Management Information Systems Department
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CitationValacich, J. S., Jenkins, J. L., & Cisic, D. (2022). Digital Behavioral Biometrics and Privacy: Methods for Improving Business Processes without Compromising Customer Privacy. 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022 - Proceedings, 1019–1024.
Journal2022 45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022 - Proceedings
Rights© 2022 Croatian Society MIPRO.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractTo enable people to interact with online websites and systems, browsers capture a variety of events that occur on the page - such as how a person is moving the computer mouse, what a person clicks on, what a person types, and whether a person is scrolling. These events represent a user's behavior on a page, referred to as the DOM or Document Object Model, and are recorded at a millisecond precision rate (e.g., the exact millisecond timestamp when a key goes down and when it comes back up). Research and practice alike have found that these behavioral events can provide powerful insight into the users' experience, such as whether users are frustrated, and even help distinguish between legitimate and fraudulent users. In this paper, we present six best practices for responsibly collecting these digital behavioral biometric data to help protect user privacy as well as encourage proper interpretation. For each principle, we discuss its rationale and practical application.
VersionFinal accepted manuscript