NDLI: Dynamic user interface adaptation driven by physiological parameters to support learning

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Dynamic user interface adaptation driven by physiological parameters to support learning

Content Provider	ACM Digital Library
Author	Manca, Marco Paternò, Fabio Ghiani, Giuseppe
Abstract	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.
Starting Page	158
Ending Page	163
Page Count	6
File Format	PDF
ISBN	9781450336468
DOI	10.1145/2774225.2775081
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-06-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Learning Physiological parameters Web Adaptation
Content Type	Text
Resource Type	Article

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