书目名称 | Next Generation Intelligent Environments | 副标题 | Ambient Adaptive Sys | 编辑 | Stefan Ultes,Florian Nothdurft,Wolfgang Minker | 视频video | | 概述 | Covers the field of intelligent environments research and evaluation.Examines hot topics such as adaptation within activity spheres and intelligent ambient adaptive systems.Presents in-depth analysis | 图书封面 |  | 描述 | .This book covers key topics in the field of intelligent ambient adaptivesystems. It focuses on the results worked out within the framework of theATRACO (Adaptive and TRusted Ambient eCOlogies) project. The theoreticalbackground, the developed prototypes, and the evaluated results form a fertileground useful for the broad intelligent environments scientific community aswell as for industrial interest groups..The new edition provides:.. .Chapter authors comment on their work on ATRACO with final remarks as viewed in retrospective. .Each chapter has been updated with follow-up work emerging from ATRACO. .An extensive introduction to state-of-the-art statistical dialog management for intelligent environments . .Approaches are introduced on how Trust is reflected during the dialog with the system .. | 出版日期 | Book 2016Latest edition | 关键词 | Activity Sphere; Adaptive Networking; Advanced Intelligent Environments; Ambient Adaptive Systems; Ambie | 版次 | 2 | doi | https://doi.org/10.1007/978-3-319-23452-6 | isbn_softcover | 978-3-319-79485-3 | isbn_ebook | 978-3-319-23452-6 | copyright | Springer International Publishing Switzerland 2016 |
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Front Matter |
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Abstract
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,A Middleware Architecture for Ambient Adaptive Systems, |
Christos Goumopoulos |
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Abstract
Ambient adaptive systems have to use mechanisms to regulate themselves and change their structure in order to operate efficiently within dynamic ubiquitous computing environments. First of all we outline a survey on existing middleware solutions for building ambient adaptive systems. After, discussing the limitations of the existing approaches, we present our propositions for a middleware architecture to support dynamic adaptation within ambient environments. Our approach is based on the service-oriented architecture (SOA) paradigm which can be considered as an evolution of the component-based design paradigm. The aim is to use component interfaces for the identification and automated connection of components acting as service providers/consumers. The proposed middleware provides a solution that supports the adaptation of applications at the structural level, where the structure of the application can change through dynamic service composition. We call this adaptation “polymorphism” in analogy with the synonymous term found in the object-oriented programming paradigm. Besides SOA, we use a set of intelligent agents to support adaptive workflow management and task realization based
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,Adaptive Networking, |
Apostolos Meliones,Ioannis Liverezas,Dimitrios Economou |
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Abstract
Intelligent environments have been commercially available already over 10 years without becoming such a mass product as expected. The expectations of potential users of mentioned solutions have not been fulfilled yet due to missing globally accepted standards causing interoperability problems of different hardware and software components, complexity of configuration and use, lack of universal service consideration, and insufficient ROI for private residence owners. Clearly, a stronger emphasis is needed on device adaptation, usability, and scalability, which can seamlessly accommodate new IE services. Although several research efforts have addressed the development of IEs through networking existing devices and resolving interoperability issues with the help of middleware, there has been little work on specifying at a high level of abstraction how such abstraction services would work together at the application level taking into account in a combined dynamic way the heterogeneous networks and services. This chapter presents a framework for Network Adaptation in IEs using OSGi and UPnP technology allowing the uniform and transparent access to devices and services present in the netw
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,Ontology-Based Knowledge Management in NGAIEs, |
Achilles Kameas,Lambrini Seremeti |
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Abstract
The objective of the knowledge architecture of ATRACO is to enhance communication, as well as to ensure effective knowledge sharing among ATRACO components. It is built around ontologies, Ontology Managers, and agents. Every component of an activity sphere uses an ontology to model its local knowledge and state. These ontologies will certainly be heterogeneous, but they must be used transparently in the context of any sphere. Thus, knowledge management in ATRACO is concerned with the alignment of heterogeneous ontologies, in order to produce the Sphere Ontology, which encodes the sphere knowledge..In this chapter, we shall describe the ontology management framework developed in the context of ATRACO, which includes:.In Information Technology and Artificial Intelligence, ontologies are the structural framework for organizing and representing information, as a set of concepts in a domain and the relations between those concepts. In the context of ATRACO project, three types of ontologies have been developed: domain ontologies, each one describing devices, services, user profiles, and agent knowledge bases; ontologies describing tasks and policies; and an ULO describing the basic enti
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,Privacy and Trust in Ambient Intelligent Environments, |
Bastian Könings,Florian Schaub,Michael Weber |
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Privacy and trust are critical factors for the acceptance and success of next generation ambient intelligent environments. Those environments often act autonomously to support a user’s activity based on context information gathered from ubiquitous sensors. The autonomous nature, their accessibility to large amounts of personal information, and the fact that actuators and sensors are invisibly embedded in such environments, raise several privacy issues for users. Those issues need to be addressed by adequate mechanisms for privacy protection and trust establishment. In this chapter, we provide an overview of existing privacy enhancing technologies (PETs) in the area of ambient intelligent environments and present novel adaptive privacy mechanisms as used in the ATRACO architecture and in an ambient calendar system. Further, we will discuss how computational trust mechanisms and social trust aspects can be utilized to support privacy protection and the establishment of trust between system components and between the system and users. After describing the integration of these mechanisms in the overall system architecture of ATRACO, we conclude by giving an outlook on future directions
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,Novel Approaches to Artefact Adaptation in Ambient Intelligent Environments, |
Aysenur Bilgin,Hani Hagras,Christian Wagner |
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The paper presents advanced novel approaches to develop strategies that will allow the artefacts to adapt to the uncertainties associated with the changes in the artefacts characteristics, context as well as changes in the user(s) preferences regarding these artefacts in Ambient Intelligent Environments (AIEs). This work is within the framework of an EU funded project entitled ATRACO (Adaptive and Trusted Ambient Ecologies) which aims to contribute to the realization of trusted ambient ecologies in AIEs.
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,User Interaction Adaptation Within Ambient Environments, |
Gaëtan Pruvost,Tobias Heinroth,Yacine Bellik,Wolfgang Minker |
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Ambient environments introduce new user interaction issues. The interaction environment which was static and closed becomes open, heterogeneous and dynamic. The variety of users, devices and physical environments leads to a more complex interaction context. As a consequence, the user interface has to adapt itself to preserve its utility and usability. It is no longer reasonable to continue to propose static and rigid interfaces while users, systems and environments are more and more diversified. To the dynamic nature of the interaction context introduced by ambient environments, the user interface must also respond by a dynamic adaptation. Thanks to the interaction richness it can offer, multimodality represents an interesting solution to this adaptation problem. The objective is to exploit all the interaction capabilities available to the system at a given moment, to instantiate and evolve user interfaces. In this chapter, we start by presenting a survey of the state of the art on user interaction adaptation. After, discussing the limitations of the existing approaches, we present our proposals to achieve user interaction adaptation within ambient environments. Then we describe th
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,User-Centred Spoken Dialogue Management, |
Florian Nothdurft,Stefan Ultes,Wolfgang Minker |
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Abstract
Adaptivity of intelligent environments to their surroundings provided by the ATRACO Spoken Dialogue Manager is only one means of adaptation. Recent work in Spoken Dialogue Systems focuses on the integration of user-centred adaptation means to alter the content, flow and structure of the ongoing dialogue. In this chapter, we introduce a general user-centred adaptation cycle, accompanied by two implemented adaptation approaches focusing respectively on short-term and long-term goals in human–computer interaction. After motivating the need for short-term and long-term goals to entail different adaptation mechanisms, we provide exemplary adaptation entities for each case with corresponding experiments and implementations. The short-term goal user satisfaction allows for detecting whether the user is not satisfied with the interaction and for triggering counter measures to improve the interaction. As a long-term goal, maintaining human–computer trust attempts to keep users still willing to use the system even if the interaction was confusing.
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,Artificial Intelligence Planning for Ambient Environments, |
Julien Bidot,Susanne Biundo |
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In this chapter, we describe how Artificial Intelligence planning techniques are used in The Adapted and TRusted Ambient eCOlogies (ATRACO) in order to provide Sphere Adaptation. We introduce the Planning Agent (PA) which plays a central role in the realization and the structural adaptation of activity spheres. Based on the particular information included in the ontology of the execution environment, the PA delivers workflows that consist of the basic activities to be executed in order to achieve a user’s goals. The PA encapsulates a search engine for hybrid planning—the combination of hierarchical task network (HTN) planning and partial-order causal-link (POCL) planning. In this chapter, we describe a formal framework and a development platform for hybrid planning, PANDA. This platform allows for the implementation of many search strategies, and we explain how we realize the search engine of the PA by adapting and configuring PANDA specifically for addressing planning problems that are part of the ATRACO service composition. We describe how the PA interacts with the Sphere Manager and the Ontology Manager in order to create planning problems dynamically and generate workflows in t
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,From Scenarios to “Free-Play”: Evaluating the User’s Experience of Ambient Technologies in the Home |
Joy van Helvert,Christian Wagner |
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The ambient intelligence (AmI) vision of interactive home environments with embedded technologies that learn from our behaviour and provide services in anticipation of our needs has been with us since the 1990s. While the technical knowledge and capability to realise the physical aspects of the vision is now within our grasp, user involvement in developing and refining the concepts underlying this new intimate relationship between humans and their technologies appears so far to have been limited. This may, in part, be due to the very nature of the research and innovation process, in that technical competence is often far ahead of the potential users ability to envisage how such services could be usefully and affordably incorporated in their everyday lives. It is understandable therefore that user involvement in the early stages of development may be seen as hindering innovation. Instead, one approach has been to capture the user perspective in visionary scenarios, often written by the researchers themselves. These are useful for elaborating the vision and driving further technical innovation, however, they often assume an established relationship between system and user and thus av
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Back Matter |
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Abstract
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