Online Archive Improvement Study

Envisioning Visible Language’s Next Generation Online Archive

Abstract

This study aimed to identify strategies to improve Visible Language’s online archive design for a 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 that wish to improve and broaden engagement with their content.