Analyzing system logs: a new view of what's important
SYSML'07 Proceedings of the 2nd USENIX workshop on Tackling computer systems problems with machine learning techniques
Comparison of three one-question, post-task usability questionnaires
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Cognitive load in ecommerce applications: measurement and effects on user satisfaction
Advances in Human-Computer Interaction
The development and evaluation of a survey to measure user engagement
Journal of the American Society for Information Science and Technology
No clicks, no problem: using cursor movements to understand and improve search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User engagement: the network effect matters!
Proceedings of the 21st ACM international conference on Information and knowledge management
Absence time and user engagement: evaluating ranking functions
Proceedings of the sixth ACM international conference on Web search and data mining
Proceedings of the 22nd international conference on World Wide Web companion
Examining the generalizability of the User Engagement Scale (UES) in exploratory search
Information Processing and Management: an International Journal
Online multitasking and user engagement
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Proceedings of the 1st workshop on User engagement optimization
Quizz: targeted crowdsourcing with a billion (potential) users
Proceedings of the 23rd international conference on World wide web
Measuring engagement in video game-based environments: Investigation of the User Engagement Scale
Computers in Human Behavior
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Our research goal is to provide a better understanding of how users engage with online services, and how to measure this engagement. We should not speak of one main approach to measure user engagement --- e.g. through one fixed set of metrics --- because engagement depends on the online services at hand. Instead, we should be talking of models of user engagement. As a first step, we analysed a number of online services, and show that it is possible to derive effectively simple models of user engagement, for example, accounting for user types and temporal aspects. This paper provides initial insights into engagement patterns, allowing for a better understanding of the important characteristics of how users repeatedly interact with a service or group of services.