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Preliminary Findings of Visualization of the Interruptible Moment

Abstract

Intelligent software must frequently interrupt users, but the problem of deciding when to interrupt the user is still unsolved. In this paper, an algorithm is presented that identifies the appropriate times to interrupt the user is proposed and visualizations of the user’s state. The Intelligent Interruption Algorithm draws from user, task, and environmental contextual information dynamically extracted from the environment as the user performs computer based tasks. The visualizations are a representation of these complex components presented in a way that is meaningful for analysis purposes and for the user. This paper presents the following: the interruption algorithm; the machine learning algorithms used; and the preliminary results of visualizing the interruptible moment.

Authors

Sykes ER

Series

Lecture Notes in Computer Science

Volume

5976

Pagination

pp. 215-229

Publisher

Springer Nature

Publication Date

May 21, 2010

DOI

10.1007/978-3-642-12659-8_16

Conference proceedings

Lecture Notes in Computer Science

ISSN

0302-9743
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