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Transparency Improves the Accuracy of Automation Use, but Automation Confidence Information Does Not
Peer reviewed
Direct linkMonica Tatasciore; Luke Strickland; Shayne Loft – Cognitive Research: Principles and Implications, 2024
Increased automation transparency can improve the accuracy of automation use but can lead to increased bias towards agreeing with advice. Information about the automation's confidence in its advice may also increase the predictability of automation errors. We examined the effects of providing automation transparency, automation confidence…
Descriptors: Automation, Access to Information, Information Technology, Bias
Stacy Gilbert; Kyunghye Kim; Rebecca Kelley; Alyssa Wright; Alessia Zanin-Yost – Journal of Electronic Resources Librarianship, 2024
News aggregator databases offer different content and features, but there is little guidance on how these databases compare. This article compares the coverage scope, availability of 35 U.S. newspaper titles, and features of six news aggregators available to U.S. academic libraries: "Newspaper Source Plus" (EBSCO), "Factiva,"…
Descriptors: Databases, Library Automation, Access to Information, Information Sources
Xiaojun Xu; Guanghui Cheng – College & Research Libraries, 2024
The purpose of this study is to explore the realization of users' information rights (IRs) in the smart service of university libraries. Based on the LibQUAL model, principal component analysis (PCA) is used to measure the quality of smart services in university libraries. The contribution weight of various services to the realization of IRs is…
Descriptors: Foreign Countries, Research Libraries, Academic Libraries, Library Services
