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Ambient Intelligence [electronic resource] : European Conference, AmI 2007, Darmstadt, Germany, November 7-10, 2007. Proceedings / edited by Bernt Schiele, Anind K. Dey, Hans Gellersen, Boris Ruyter, Manfred Tscheligi, Reiner Wichert, Emile Aarts, Alejandro Buchmann.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 4794Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Description: online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540766520
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 005.7 23
LOC classification:
  • QA76.76.A65
Online resources:
Contents:
Mobility and Sensing -- Mobile Interaction with the Real World: An Evaluation and Comparison of Physical Mobile Interaction Techniques -- Portable Wireless Sensors for Object Usage Sensing in the Home: Challenges and Practicalities -- Role Assignment Via Physical Mobile Interaction Techniques in Mobile Multi-user Applications for Children -- Applications of AmI -- Context-Sensitive Microlearning of Foreign Language Vocabulary on a Mobile Device -- Ambient Intelligence for Decision Making in Fire Service Organizations -- Supporting Independent Living of the Elderly with Mobile-Centric Ambient Intelligence: User Evaluation of Three Scenarios -- Activity and Location Sensing -- A Study on the Suitability of GSM Signatures for Indoor Location -- How Computer Vision Can Help in Outdoor Positioning -- Toward Recognition of Short and Non-repetitive Activities from Wearable Sensors -- AmI and Artifiial Intelligence -- Distributed AI for Ambient Intelligence: Issues and Approaches -- Active Coordination Artifacts in Collaborative Ubiquitous-Computing Environments -- AmI Middleware and Infrastructure -- A Communication Middleware for Smart Room Environments -- Evaluating Confidence in Context for Context-Aware Security -- A Compiler for the Smart Space -- Interaction with the Environment -- Situated Public News and Reminder Displays -- A Web 2.0 Platform to Enable Context-Aware Mobile Mash-Ups -- A Matter of Taste -- Case Studies and Lessons Learned -- User Centered Research in ExperienceLab -- Enhancing the Shopping Experience with Ambient Displays: A Field Study in a Retail Store -- Expected Information Needs of Parents for Pervasive Awareness Systems -- Assemblies of Heterogeneous Technologies at the Neonatal Intensive Care Unit -- Improving Mobile Solution Workflows and Usability Using Near Field Communication Technology.
In: Springer eBooksSummary: AmbientIntelligence(AmI)wasintroducedinthelate1990sasanovelparadigm for electronic environments for the years 2010–2020. The concept builds on the earlyideasofWeiser,whowasaimingatanovelmobilecomputinginfrastructure integrated into the networked environment of people. AmI takes the embedding of computing devices one step ahead by integrating computational intelligence into the entire surrounding of people, thus moving technology fully to the ba- ground and the user into the foreground by supporting him or her with intuitive and natural interaction concepts. According to the de?nition, AmI refers to smart electronic environments that are sensitive and responsive to the presence of people. Since its introduction the vision has grown mature, so as to become quite in?uential in the development of new concepts for information processing, combiningmulti-disciplinary?eldsincludingelectricalengineering,computers- ence, industrial design, user interfaces, and cognitive sciences. The AmI paradigm provides a basis for new models of technological inno- tion within a multi-dimensional society. The added value of the AmI vision lies inthefactthatthelarge-scaleintegration of electronics into the environment enables the actors, i.e., people and objects, to interact with their surrounding in a seamless, trustworthy, and natural manner. This is directly connected to the growing societal need for communication and the exchange of information.
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Mobility and Sensing -- Mobile Interaction with the Real World: An Evaluation and Comparison of Physical Mobile Interaction Techniques -- Portable Wireless Sensors for Object Usage Sensing in the Home: Challenges and Practicalities -- Role Assignment Via Physical Mobile Interaction Techniques in Mobile Multi-user Applications for Children -- Applications of AmI -- Context-Sensitive Microlearning of Foreign Language Vocabulary on a Mobile Device -- Ambient Intelligence for Decision Making in Fire Service Organizations -- Supporting Independent Living of the Elderly with Mobile-Centric Ambient Intelligence: User Evaluation of Three Scenarios -- Activity and Location Sensing -- A Study on the Suitability of GSM Signatures for Indoor Location -- How Computer Vision Can Help in Outdoor Positioning -- Toward Recognition of Short and Non-repetitive Activities from Wearable Sensors -- AmI and Artifiial Intelligence -- Distributed AI for Ambient Intelligence: Issues and Approaches -- Active Coordination Artifacts in Collaborative Ubiquitous-Computing Environments -- AmI Middleware and Infrastructure -- A Communication Middleware for Smart Room Environments -- Evaluating Confidence in Context for Context-Aware Security -- A Compiler for the Smart Space -- Interaction with the Environment -- Situated Public News and Reminder Displays -- A Web 2.0 Platform to Enable Context-Aware Mobile Mash-Ups -- A Matter of Taste -- Case Studies and Lessons Learned -- User Centered Research in ExperienceLab -- Enhancing the Shopping Experience with Ambient Displays: A Field Study in a Retail Store -- Expected Information Needs of Parents for Pervasive Awareness Systems -- Assemblies of Heterogeneous Technologies at the Neonatal Intensive Care Unit -- Improving Mobile Solution Workflows and Usability Using Near Field Communication Technology.

AmbientIntelligence(AmI)wasintroducedinthelate1990sasanovelparadigm for electronic environments for the years 2010–2020. The concept builds on the earlyideasofWeiser,whowasaimingatanovelmobilecomputinginfrastructure integrated into the networked environment of people. AmI takes the embedding of computing devices one step ahead by integrating computational intelligence into the entire surrounding of people, thus moving technology fully to the ba- ground and the user into the foreground by supporting him or her with intuitive and natural interaction concepts. According to the de?nition, AmI refers to smart electronic environments that are sensitive and responsive to the presence of people. Since its introduction the vision has grown mature, so as to become quite in?uential in the development of new concepts for information processing, combiningmulti-disciplinary?eldsincludingelectricalengineering,computers- ence, industrial design, user interfaces, and cognitive sciences. The AmI paradigm provides a basis for new models of technological inno- tion within a multi-dimensional society. The added value of the AmI vision lies inthefactthatthelarge-scaleintegration of electronics into the environment enables the actors, i.e., people and objects, to interact with their surrounding in a seamless, trustworthy, and natural manner. This is directly connected to the growing societal need for communication and the exchange of information.

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