Abstract
The U.S. Census Bureau (Census) collects and maintains data on the nation’s population, neighborhoods, and economy, and shares that information with the public digitally. To successfully provide value to the public, data platforms and the data itself must be constructed in a way that individuals can easily use and understand. However, like many data providers, Census introduces technical terminology that can complicate the user’s experience. This paper describes how such terms affect individuals’ ability to consume data, by applying a recognition primed decision making method. The data used come from 36 in-depth interviews and 1 focus group with data consumers. An empirical model of the recognition-primed decision process uncovered in the data is presented, also elucidating key variations in decision paths according to factors like technical training or experience. These findings illustrate that failing to present user-centered data can limit the ability of consumers to benefit from public information.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
