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Comparative User Experiences of Next-Generation Catalogue Interfaces
Author(s) -
Rice Majors
Publication year - 2012
Publication title -
library trends
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.581
H-Index - 48
eISSN - 1559-0682
pISSN - 0024-2594
DOI - 10.1353/lib.2012.0029
Subject(s) - usability , computer science , vendor , world wide web , documentation , user interface , interface (matter) , task (project management) , software , service (business) , library catalog , human–computer interaction , engineering , economy , systems engineering , bubble , marketing , maximum bubble pressure method , parallel computing , economics , business , programming language , operating system
One of the presumed advantages of next-generation library catalogue interfaces is that the user experience is improved—that it is both richer and more intuitive. Often the interfaces come with little or no user-facing documentation or imbedded "help" for patrons based on an assumption of ease of use and familiarity of the experience, having followed best practices in use on the Web. While there has been much gray literature (published on library Web sites, etc.) interrogating these implicit claims and contrasting the new interfaces to traditional Web-based catalogues, this article details a consistent and formal comparison of whether users can actually accomplish common library tasks, unassisted, using these interfaces. The author has undertaken a task-based usability test of vendor-provided next-generation catalogue interfaces and Web-scale discovery tools (Encore Synergy, Summon, WorldCat Local, Primo Central, EBSCO Discovery Service). Testing was done with undergraduates across all academic disciplines. The resulting qualitative data, noting any demonstrated trouble using the software as well as feedback or suggested improvements that the users may have about the software, will assist academic libraries in making or validating purchase and subscription decisions for these interfaces as well as help vendors make data-driven decisions about interface and experience enhancements.

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