Augmenting Professional Training, an Ambient Intelligence Approach

2008 ◽  
pp. 105-121
2019 ◽  
Vol 35 (4) ◽  
pp. 1060-1087
Author(s):  
Davide Bacciu ◽  
Maurizio Di Rocco ◽  
Mauro Dragone ◽  
Claudio Gallicchio ◽  
Alessio Micheli ◽  
...  

2019 ◽  
Vol 11 (3) ◽  
pp. 58 ◽  
Author(s):  
Luis Gomes ◽  
Carlos Ramos ◽  
Aria Jozi ◽  
Bruno Serra ◽  
Lucas Paiva ◽  
...  

This paper presents IoH (Intelligence of Home), a platform developed to test some basic intelligent behaviors in Home context. Internet of Things, ambient intelligence and context awareness approaches motivated the development of IoH. The platform involves six layers, responsible by connectivity, persistency, unification, Internet of Things integration, subsystems integration and user interface. The integrated subsystems involve intelligent systems for light control, television brightness control, desk light control, persons counting and air conditioner control. The IoH platform is then tested for a real building, and results and conclusions are obtained. Different intelligent methods and technologies are used, form the use of a diversity of sensors, actuators, and controllers and processing units to a set of artificial intelligence approaches varying from machine learning and optimization algorithms to the use of sensor fusion and computer vision. The use of IoH day-by-day demonstrated an intelligent performance for the real building occupants.


Author(s):  
Violeta Damjanovic

In this article, we explore the impact of ambient intelligence (AmI) on collaborative learning and experimental environments aiming to point out some new and upcoming trends in the professional collaboration on the Web. The article starts with some introductory explanations of both Web-based and ubiquitous environments. In addition, an overview of the relevant research issues is given. These issues represent the key paradigms on which the conceptual design of the AmIART prototype is based, and embrace the following facets: Ambient Intelligence, online experimenting, and personalized adaptation. The main idea of the AmIART prototype is to give users the feeling of being in training laboratories and working with real objects (paintings, artifacts, experimental components). Then, the AmIART prototype for fine art online experimenting is discussed in the sense of e-collaboration. When online experiments are executed in the Semantic Web environment, remote control of experimental instruments is based on knowledge that comes from domain ontologies and process ontologies (semantic-based knowledge systems). For these purposes, we present the ontology ACCADEMI@VINCIANA, as an example of a domain ontology (professional training domain), as well as the ontology GUMO (general user model and context ontology) that consists of a number of classes, predicates and instances aimed at covering all situational states and models of users, systems/devices and environments. In the following section, a collaborative scenario of using the AmiART prototype is given. The last section contains some conclusion remarks.


Author(s):  
Nikolaos Partarakis ◽  
Margherita Antona ◽  
Emmanouel Zidianakis ◽  
Panagiotis Koutlemanis ◽  
Constantine Stephanidis

1997 ◽  
Vol 2 (4) ◽  
pp. 293-300 ◽  
Author(s):  
Ype H. Poortinga ◽  
Ingrid Lunt

In national codes of ethics the practice of psychology is presented as rooted in scientific knowledge, professional skills, and experience. However, it is not self-evident that the body of scientific knowledge in psychology provides an adequate basis for current professional practice. Professional training and experience are seen as necessary for the application of psychological knowledge, but they appear insufficient to defend the soundness of one's practices when challenged in judicial proceedings of a kind that may be faced by psychologists in the European Union in the not too distant future. In seeking to define the basis for the professional competence of psychologists, this article recommends taking a position of modesty concerning the scope and effectiveness of psychological interventions. In many circumstances, psychologists can only provide partial advice, narrowing down the range of possible courses of action more by eliminating unpromising ones than by pointing out the most correct or most favorable one. By emphasizing rigorous evaluation, the profession should gain in accountability and, in the long term, in respectability.


1979 ◽  
Vol 34 (4) ◽  
pp. 339-349 ◽  
Author(s):  
Ir Polonsky ◽  
et al

2019 ◽  
Vol 60 (4) ◽  
pp. 265-280
Author(s):  
Jeffrey Ansloos ◽  
Suzanne Stewart ◽  
Karlee Fellner ◽  
Alanaise Goodwill ◽  
Holly Graham ◽  
...  

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