Editorial to first issue
J Ambient Intell Human Comput
0 V. Loia (&) University of Salerno , Salerno , Italy
1 With my kindest regards, Vincenzo Loia Editor-in-Chief University of Salerno , Italy
On behalf of the Editorial Board, it is with great pride and sincere privilege that I am writing this message to present the first issue of the Journal of Ambient Intelligence and Humanized Computing. Launching this new journal would not have been possible without the great and much appreciated contributions from the Editorial Board members and from Springer. Ambient Intelligence (AmI) has acquired great importance in recent years and requires the development of new innovative approaches to the challenges of the twenty-first century. Many leading advisory IT companies and a wide researcher community predict a deep acceleration of AmI wave that will lead to emergent scenarios as significant as the Web. The journal aims to provide a common platform for researchers to promptly share their novel results and latest developments in Ambient Intelligence and Humanized Computing, built on advances in engineering, computer sciences, robotics, mechatronics, social sciences, cognitive sciences, physics, arts, architecture and economy. The journal wishes to serve as an international forum for all issues within the editorial focus, in an effort to disseminate the results guaranteeing scientific excellence. Currently the Journal is open to the following scientific contributions: Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks and services Healthcare Systems Virtual Humans and Virtual Worlds.
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Pervasive/Ubiquitous Computing and Applications
Cognitive wireless sensor network
Embedded Systems and Software
Mobile Computing and Wireless Communications
Next Generation Multimedia Systems
Security, Privacy and Trust
Service and Semantic Computing
This inaugural issue features six scientific papers. The first
contribution, by T. K. R. Nkwe and M. K. Denko,
addresses the problem of gateway bottleneck by using data
management techniques. The authors propose a
selfoptimizing cooperative caching solution for autonomic
wireless mesh networks (WMNs) capable to improve the
data caching performance providing data ubiquity.
The second paper, by M. J. OGrady, C. Muldoon,
M. Dragone, R. Tynan, and G. M. P. OHare, explores
Ambient Assisted Living (AAL) from a wide number of
prospectives. Developments in AAL over the next few
years will have a profound affect on society and the elderly
in particular. Decisions made at this time juncture in the
design of AAL systems may well have ramifications for
years to come, considering appropriate solutions capable to
support flexibility, scalability and evolution during the
aging process. In particular, the authors discuss an
agentbased middleware approach to realising an architecture for
evolutionary AAL.
The third paper, by T. Gross, discusses on Cooperative
ambient intelligence. Cooperative ambient intelligence
aims to improve users work and private life by analysing
their current situation with a special focus on their social
interaction and to adapt the environment accordingly.
As technology is seen as highly embedded in physical
environments and the social fabric of users, a
reconsideration of methods for its design, implementation, and
evaluation is vital. The author clarifies his view on
cooperative ambient intelligence, and discuss what constitutes a
novel human-centred computing methodology.
The fourth paper, by M. Kaptein, P. Markopoulos, B. de
Ruyter, and E. Aarts, discusses ambient persuasion and
poses a model that structures the knowledge from social
sciences on persuasion, attitude change, and behavior
change. This article provides an overview of the social
science findings on attitude and behavioral change and
summarize these in a model for ambient persuasion. The
authors deepen the discussion on each part of the model,
identifying major challenges for the AmI field to fulfill its
opportunities in incorporating persuasion.
The fifth paper, by G. Singla, D. J. Cook, and M.
Schmitter-Edgecombe, describes an approach to recognizing
activities performed by smart home residents. In particular,
the authors present in detail novel algorithms that built
probabilistic models of activities and used them to recognize
activities in complex situations where multiple residents are
performing activities in parallel in the same environment.
Finally, the paper of W. Pedrycz, investigates the
capabilities of Granular Computing (and fuzzy sets, in particular)
that are available in the currently existing framework to
support the design of humancentric systems. Information
granules constitute a backbone or a conceptual skeleton of a
variety of ways we perceive the world, communicate our
findings and rev (...truncated)