Big Brother: A Drop-In Website Interaction Logging Service

Scells, Harrisen and Jimmy, Jimmy and Zuccon, Guido (2021) Big Brother: A Drop-In Website Interaction Logging Service. In: SIGIR 2021, 11-15 July 2021, Canada.

[thumbnail of Jimmy_Big Brother.pdf] PDF
Jimmy_Big Brother.pdf

Download (7MB)


Fine-grained logging of interactions in user studies is important for studying user behaviour, among other reasons. However, in many research scenarios, the way interactions are logged are usually tied to a monolithic system. We present a generic, application independent service for logging interactions in web-pages, specifically targeting user studies. Our service, Big Brother, can be dropped-in to existing user interfaces with almost no configuration required by researchers. Big Brother has already been used in several user studies to record interactions in a number of user study research scenarios, such as lab-based and crowdsourcing environments. We further demonstrate the ability for Big Brother to scale to very large user studies through benchmarking experiments. Big Brother also provides a number of additional tools for visualising and analysing interactions. Big Brother significantly lowers the barrier to entry for logging user interactions by providing a minimal but powerful, no configuration necessary, service for researchers and practitioners of user studies that can scale to thousands of concurrent sessions. We have made the source code and releases for Big Brother available for download at

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering > Department of Informatic
Depositing User: JIMMY 61156 206002
Date Deposited: 21 Jan 2022 06:30
Last Modified: 24 Feb 2022 08:12

Actions (login required)

View Item View Item