Adaptive portal aggregation for pervasive client devices

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Abstract

Accessing portals using pervasive client devices, such as PDAs, smart phones, etc., has become very important to mobile users. The characteristics of pervasive devices, such as small form factor, screen geometry diversity, low processing power, weak network connectivity, etc., impose many challenges for accessing portals on the pervasive devices. A major overlooked challenge is the difference in user attention on a desktop system and the user attention on a pervasive device. In this paper, we propose an adaptive portal aggregation framework to minimize the user attention demands for accessing portals on pervasive devices. We propose two specific techniques and a general approach that uses client context information for adaptive portal aggregation for pervasive client devices. We have tested these approaches in an embedded portal that runs on a PDA. © Springer-Verlag Berlin Heidelberg 2004.

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APA

Li, M., & Blount, M. (2004). Adaptive portal aggregation for pervasive client devices. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3160, 366–372. https://doi.org/10.1007/978-3-540-28637-0_39

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