Innovations in the user experiences of digital image collections have taken image-based searching from the realm of basic one-way searches and sorts and delivered users a new world of dynamic and interactive explorations that offer mechanisms for higher-level cognitive functions such as comparing, analyzing, sorting, sharing, designing, and creating in an intuitive environment. While innovations in image search functionality often occur first in non-academic applications (e.g., social media), image archives meant to amasse and preserve visual information for the ages would benefit by adopting and adapting search innovations.
Students and scholars that access image-based archives of information to gather resources and conduct research employ high-level thinking during the user experience of the digital archive. By using Bloom’s Taxonomy
to categorize levels of user cognition during a search, user experience functions will be assessed and new functions will be developed and implemented to give users of the Graphic Design Archive a level of search functionality and flexibility that meets the demands of scholarly research. The methods used will include conversational interface design and they will be applied to both a desktop and web application. Generating higher levels of scholarship through the use of this new, adaptable interface is the intended outcome.
Visual Communication Design (MFA)
Department, Program, or Center
School of Design (CAD)
Nancy A. Ciolek
Shay, Jenna, "The Graphic Design Archive: Generating Higher Levels of Scholarship Through a User Experience Approach to Scholarly Image Database Design" (2018). Thesis. Rochester Institute of Technology. Accessed from
RIT – Main Campus