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Intelligent user interfaces for mobile computing

Author(s)
O'Grady, Michael J.  
O'Hare, G. M. P. (Greg M. P.)  
Uri
http://hdl.handle.net/10197/1911
Date Issued
2008
Date Available
2010-04-07T16:13:10Z
Abstract
In this chapter, the practical issue of realizing a necessary intelligence quotient for realizing Intelligent User Interfaces (IUIs) on mobile devices is considered. Mobile computing scenarios differ radically from the normal fixed workstation environment that most people are familiar with; and it is in this dynamicity and complexity that the key motivations for realizing IUIs on mobile devices may be found. Thus the chapter initially motivates the need for the deployment of IUIs in mobile contexts by reflecting on the archetypical elements that comprise the average mobile user's situation or context. A number of broad issues pertaining to the deployment of AI techniques on mobile devices are considered before a practical realisation of this objective through the intelligent agent paradigm is presented. It is the authors hope that a mature understanding of the mobile computing usage scenario, augmented with key insights into the practical deployment of AI in mobile scenarios, will aid software engineers and HCI professionals alike in the successful utilisation of intelligent techniques for a new generation of mobile services.
Sponsorship
Science Foundation Ireland
Type of Material
Book Chapter
Publisher
IGL
Copyright (Published Version)
2008, IGI Global
Subjects

Intelligent user inte...

Mobile computing

Artificial intelligen...

Intelligent agents

Ambient intelligence

Subject – LCSH
User interfaces (Computer systems)
Mobile computing
Intelligent agents (Computer software)
Language
English
Status of Item
Peer reviewed
Journal
Lumsden, J. (ed.). Handbook of research on user interface design and evaluation for mobile technology
ISBN
159904871X
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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chaper_iui.pdf

Size

552.48 KB

Format

Adobe PDF

Checksum (MD5)

9f460614dfb3f69a0758de9d2b77b6e8

Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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