Dynamic user interface adaptation driven by physiological parameters to support learning
Giuseppe Ghiani, Marco Manolo Manca, Fabio Paternò · 2015
Technology to make physiological measurements related to attention and cognitive load is becoming more affordable. We propose a solution based on combining the exploitation of dynamic user information gathered through such technology with a rule-based strategy for adaptation of e-learning Web applications. We focus on users' physiological data and aspects relevant for the task being carried out. A flexible rule-based approach allows designers and developers to define a wide range of rule compositions to express changes in the user interface based on how the user feels and behaves. The overall goal of the framework is to serve as a tool for content developers of Web applications, such as operators of online Learning Management Systems, and for their end-users. In this domain, through our approach teachers can create their educational contents, and specify how they should dynamically adapt to students' behaviour in order to improve the learning process.