Visible Language Online Archive Improvement Study

Envisioning Visible Language’s Next Generation Online Archive.

Abstract

The purpose of this study was to identify strategies to improve Visible Language’s online archive design for broader readership. The author used a combination of exploratory methods with current and potential Visible Language readers to identify designers’ current and desired uses of design knowledge. The findings led to three key design strategies: article curation, advanced search filters, and a dynamic reading experience. The strategies extend beyond Visible Language to design archives who wish to improve and broaden engagement with their content.