Attention Management in Pervasive Computing INTRODUCTION

被引：5

作者：

Ferscha, Alois ^{[1
]}

Paradiso, Joseph ^{[2
]}

Whitaker, Roger ^{[3
]}

机构：

[1] Johannes Kepler Univ Linz, Linz, Austria

[2] MIT Media Lab, Respons Environm Grp, Cambridge, MA USA

[3] Cardiff Univ, Cardiff CF10 3AX, S Glam, Wales

来源：

IEEE PERVASIVE COMPUTING | 2014年 / 13卷 / 01期

关键词：

big data; attention research; cognitive computer science; pervasive computing; sensors; machine learning; pattern recognition;

D O I：

10.1109/MPRV.2014.2

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As new technologies continuously wash floods of information over individuals via both personal devices and public ICT systems, it's becoming increasingly difficult for individuals to allocate their attention to the right things at the right times. Given this overabundance of information, attention management is of great interest to the pervasive computing community. The articles in this issue focus on understanding how attention is allocated and how information is perceived and shared so it can lead to informed decisions and behavioral change. © 2002-2012 IEEE.

引用

页码：19 / 21

页数：3