Search behaviour before and after search success

Why do users continue searching after reviewing all relevant documents with which they could have completed a work task? If we knew the answer, then a search system may be able to help users learn about their current search processes, which in turn may enable them to make the whole search process more efficient, leading to greater effectiveness and user satisfaction. This paper is a first step towards solving this problem. Using a previously collected data set, we identified the point of success and hence task completion, and investigated the search behaviour before and after users had accessed all relevant documents for answering assigned tasks. We used a set of search behaviour actions derived from Marchionini's (1995) Information Seeking Process model, and modeled the distribution of these actions throughout the entire search process, comparing actions before and after success could have been attained. Our results suggest that six defined actions, namely user-submitted query, system-suggested query, forward to items, evaluate relevant items, reflect, and answer appeared to change according to the stage of the entire search process. Also, users have notably distinct patterns before and after search success was obtained, but not realised by the user. Not all action were affected; user-submitted query and system-suggested query appeared to be unaffected by time in post-success case and presuccess case, respectively