Analysis of User Eye Movements during Viewing of Search Engine Results Pages in Web Information Seeking Tasks

Abstract

We used an eye tracking tool to investigate the effect of user-based, task-based, and query-based properties when people performed information seeking behaviors on the Web on the search engine results pages (SERP). For the analysis of the user experimental data, we integrated information from various sources, including eye tracking data, browser logs, and post-interview data. An analysis of the results indicated that the query type has a dominant effect and implies that SERPs behaviors might be predictable from the type of query.