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User Interaction Modeling and Profile Extraction in Interactive Systems: A Groupware Application Case Study.


ABSTRACT: A relevant goal in human-computer interaction is to produce applications that are easy to use and well-adjusted to their users' needs. To address this problem it is important to know how users interact with the system. This work constitutes a methodological contribution capable of identifying the context of use in which users perform interactions with a groupware application (synchronous or asynchronous) and provides, using machine learning techniques, generative models of how users behave. Additionally, these models are transformed into a text that describes in natural language the main characteristics of the interaction of the users with the system.

SUBMITTER: Tirnauca C 

PROVIDER: S-EPMC5539516 | biostudies-other | 2017 Jul

REPOSITORIES: biostudies-other

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