The Effects of Adding Search Functionality to Interactive Visualizations on the Web

Mi Feng, Cheng Deng, Evan M. Peck, Lane Harrison

Abstract: The widespread use of text-based search in user interfaces has led designers in visualization to occasionally add search functionality to their creations. Yet it remains unclear how search may impact a person's behavior. Given the unstructured context of the web, users may not have explicit information-seeking goals and designers cannot make assumptions about user attention. To bridge this gap, we observed the impact of integrating search with five visualizations across 830 online participants. In an unguided task, we find that (1) the presence of text-based search influences people's information-seeking goals, (2) search can alter the data that people explore and how they engage with it, and (3) the effects of search are amplified in visualizations where people are familiar with the underlying dataset. These results suggest that text-search in web visualizations drives users towards more diverse information seeking goals, and may be valuable in a range of existing visualization designs.