Reading between the lines: identifying user behaviour between logged interactions

Log analyses are often used simply to quantify interactions with different aspects of a user interface. The position held here is that much of a user's search experience does not involve direct interaction with the interface, and may not be logged at all. Many models highlight the cognitive aspects of searching behaviour, and many consider that if a user does not like a user interface, then they do not interact with it very much. Consequently, we suggest that a grand challenge for logging searcher experiences should be to study the gaps in usage logs rather than the entries alone.