Mobile Context Awareness

The importance of context in computer science has increased in recent decades as computers have become ever more pervasive in everyday life. Context awareness – the idea that computers can sense and react to a user's situation – has been a popular researc

  • PDF / 8,506,295 Bytes
  • 192 Pages / 439.37 x 666.142 pts Page_size
  • 89 Downloads / 177 Views

DOWNLOAD

REPORT


Tom Lovett r Eamonn O’Neill Editors

Mobile Context Awareness

Foreword by David Pollington

Editors Tom Lovett Department of Computer Science University of Bath/Vodafone Group R&D Bath, UK

Eamonn O’Neill Department of Computer Science University of Bath Bath, UK

ISBN 978-0-85729-624-5 ISBN 978-0-85729-625-2 (eBook) DOI 10.1007/978-0-85729-625-2 Springer London Dordrecht Heidelberg New York Library of Congress Control Number: 2012937286 © Springer-Verlag London Limited 2012 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc., in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)

Foreword

Over the 15 years+ I’ve spent in the mobile industry, I’ve seen the mobile phone evolve through a number of innovation cycles. In its humble beginnings the focus was understandably around communications (voice and SMS) but with the introduction of Multimedia Messaging (MMS) at the turn of the new Millennium the focus shifted to generating new revenues around content, the mobile phone evolving to become a music player and perhaps even a portable TV player. As phones (and networks) evolved over the next 5 years to support multimedia (larger displays, faster processors, higher bandwidth) it was realised that the mobile phone could be more than just a communications device or a portable media player: it could become a multi-purpose portable computer. What followed was the exploration of open operating systems, application environments and enhanced brows-ing capabilities that delivered a new breed of mobile phone that could truly herald the start of a new post-PC era—the smart-phone. With the introduction of enhanced sensors, AI and machine learning we’re now witnessing the next evolutionary step, one in which the mobile phone becomes much more contextually aware and able not only to personalise the services it provides but potentially anticipate the needs of its owner; truly exciting times. Mobile phones have already evolved to enable us to navigate our surroundings but such insight will become more fine grained as technology evolves, opening up the ability to infer in