Abstract: A user interface analysis system and method can provide aggregate information across a population of users of the user interface. The system includes an activity logging module, an analysis module, and a reporting module. The analysis module is configured to generate an analysis model descriptive of the user interface usage of the plurality of users. The analysis model can take the form of a beta-phase Hidden Markov Model (“BP-HMM”). The reporting module processes the generated analysis model and outputs data indicative of an aggregate of the plurality of users' usage of the user interface.

Abstract: The present disclosure is directed to an engagement-adaptive system. The system includes a content delivery module configured to deliver content to a user, a context logger configured to associate events in the delivered content with temporal locations in a first time-series. The system also includes an indicator measurement module configured to measure at least one engagement indicator and associate the measurements with temporal locations in a second time-series. The system includes an engagement analysis module configured to generate at least one engagement value based on a calculated relationship between the first and second time-series and an adaptation module configured to receive the at least one engagement value and modify execution of computer executable instructions by a processor based on the received engagement value.