Title
Easishop: Ambient intelligence assists everyday shopping
Abstract
E-commerce has been one of the success stories of the last decade. Developments in wireless communications and mobile computing have heralded an era of mobile commerce (m-commerce). Though a number of successful applications and services have been deployed, these are almost invariably inherently static in nature. By augmenting m-commerce with intelligent and autonomous components, the significant benefits of convenience and added value may be realized for the average shopper as they wander their local shopping mall or high street. By a selective and judicious juxtaposition of Ambient Intelligent (AmI) concepts and e-commerce precepts, the foundations for truly ubiquitous commerce (u-commerce) may be constructed. In this paper, the synergy between AmI and e-commerce is explored and developed, resulting in the description of a prototypical application that demonstrates the viability of this approach.
Year
DOI
Venue
2008
10.1016/j.ins.2007.08.027
Inf. Sci.
Keywords
Field
DocType
augmenting m-commerce,e-commerce precept,mobile computing,everyday shopping,intelligent agents,seem,m-commerce,judicious juxtaposition,autonomous component,ambient intelligence,ambient intelligent,easishop,high street,mobile commerce,u-commerce,ubiquitous commerce,average shopper,mobile computer,m commerce,wireless communication,intelligent agent,e commerce
Ubiquitous commerce,Mobile computing,Intelligent agent,Telecommunications,Computer security,Artificial intelligence,Ambient intelligence,Added value,High Street,Machine learning,Mathematics,Mobile commerce,Shopping mall
Journal
Volume
Issue
ISSN
178
3
0020-0255
Citations 
PageRank 
References 
32
1.28
16
Authors
3
Name
Order
Citations
PageRank
Stephen Keegan1524.86
G. M. P. O'Hare237032.35
M.J. O’Grady320919.33