Search Topic

research articles about how search query time (of a system such as google scholar) affects user experience and usage.


The literature search has identified several studies directly addressing how search query time affects user experience and usage in online search systems akin to Google Scholar [4, 6, 13, 15, 16, 33].
These studies highlight significant implications of search latency on user behavior, satisfaction, and stress levels. For instance, increased query time has been shown to influence user preference, leading to potential abandonment or reduced interaction with the system [4, 6]. Papers such as [13] and [15] offer detailed experimental results demonstrating how system delays under time constraints impact users' search strategies and document engagement. Moreover, research like [16] and [33] delineates the physiological and behavioral adjustments users make in response to system delays, emphasizing the critical nature of optimizing search speed to enhance overall user experience. These findings underscore the importance of minimizing search query times to maintain and improve user interaction with systems.
To understand the relationships and patterns within the papers found, see also:
So far, I've closely analyzed 460 of the most promising papers, and I've found ~17-28 that are relevant, which is probably more than 90% of all that exist.
To get this estimate, we do a statistical analysis of the discovery process.