Personal Augmented Computing Environment

Personal mobile devices (MDs) have evolved
tremendously during recent years. The use of
MDs is becoming pervasive; the hardware
configurations are enhanced to be comparable to
low-end desktop systems; and there are drastic
improvements in the wireless communication
infrastructures. These trends make novel applications
and business models by deploying virtual environments
(VEs) for MDs promising and desirable. However, to
make the key elements of a VE, i.e. visualization and
interaction, work as smoothly on MDs as on desktop
systems, three research challenges need to be
addressed: 1) which visual factors of a VE make the
user s realism perception similar to that in the
physical world? 2) How to effectively allow a user to
collect his/her own biometric data to build
personalized profiles? 3) How to efficiently make use
of the processing resources in the infrastructure for
the computing-intensive tasks of an individual user,
such as intelligent human computer interaction? Read
this book about a framework that strives for the
solutions.

Autorentext
Xun Luo, Ph.D., is a researcher at Office of the Chief Scientist R&D, Qualcomm Inc. He earned his bachelor's from U. of Electronic Science and Technology of China, and doctorate from U. of Illinois at Chicago in the Electronic Visualization Laboratory, both in Computer Science. He was a senior researcher at Motorola Labs from 2006 to 2008.

Klappentext
Personal mobile devices (MDs) have evolved tremendously during recent years. The use of MDs is becoming pervasive; the hardware configurations are enhanced to be comparable to low-end desktop systems; and there are drastic improvements in the wireless communication infrastructures. These trends make novel applications and business models by deploying virtual environments (VEs) for MDs promising and desirable. However, to make the key elements of a VE, i.e. visualization and interaction, work as smoothly on MDs as on desktop systems, three research challenges need to be addressed: 1) which visual factors of a VE make the user's realism perception similar to that in the physical world? 2) How to effectively allow a user to collect his/her own biometric data to build personalized profiles? 3) How to efficiently make use of the processing resources in the infrastructure for the computing-intensive tasks of an individual user, such as intelligent human computer interaction? Read this book about a framework that strives for the solutions.