Spatial diversity, do users appreciate it?

Spatial diversity is a relatively new branch of research in the context of spatial information retrieval. It tries to answer user's query with results that are not only relevant but also spatially diversified so that they are from many different locations. Although the assumption that spatially diversified results may meet users' needs better seems reasonable, there has been little hard evidence in the literature indicating so. In this paper, we will show our follow-up work on the novel approach to investigating user preference on spatial diversity by using Amazon Mechanical Turk.