Constructing the Mental Models of Webrecorder Users
Webrecorder is a free, open-access web archiving software that excels at capturing dynamic, born-digital content. Its technology is powerful, but its user base is largely unknown to its creators at the NYC digital arts non-profit Rhizome. For my project, I collected data through a structured survey and a structured email interview as well as semi-structured, in-depth interviews with select volunteers. I coded these data to prepare them for qualitative analysis, which I will do after graduation. From this analysis, I will create a roadmap of recommendations for the Webrecorder team and points to touch on when writing their user documentation.
Project sponsored by: Rhizome
Project participants:
Audrey Lorberfeld
MLIS