Abstract
Mistakes can happen in the process of designing and developing interactive digital projects. Sometimes these mistakes negatively impact users' perception and trust of digital interfaces. This research applies the concept of normalization of deviance to identify potential missed opportunities in user-centered design data within the context of a website redesign. By doing this I explore how through observing accidental deviant behaviors or processes we can identify ways to improve the usability and user experience of digital environments. I review the concepts of normalized deviant behavior as addressed by Diane Vaughan in the field of engineering and identify a process for applying this against a user research study. This process is explored through a re-analysis of user data collected from the redesign of a library catalog interface. My work focuses on identifying missed and weak signals in the research process. By noting these overlooked signals, I argue for improving the digital design process through implementing extra checks for normalized deviant behavior.
Notes
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Graduation Date
2021
Semester
Summer
Advisor
McDaniel, Rudy
Degree
Doctor of Philosophy (Ph.D.)
College
College of Arts and Humanities
Degree Program
Texts and Technology
Format
application/pdf
Identifier
CFE0008751;DP0025482
URL
https://purls.library.ucf.edu/go/DP0025482
Language
English
Release Date
August 2021
Length of Campus-only Access
None
Access Status
Doctoral Dissertation (Open Access)
STARS Citation
Vanschaik, Amy, "Signals as Symbols: Applying Normalization of Deviance to Improve User-Centered Design" (2021). Electronic Theses and Dissertations, 2020-2023. 780.
https://stars.library.ucf.edu/etd2020/780