Context Awareness

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: closed (15 January 2018) | Viewed by 20905

Special Issue Editor


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Guest Editor
Dept. of Mathematics and Computer Science, University of Cagliari, 09124 Cagliari, Italy
Interests: sensor-based activity recognition; hybrid activity recognition methods; recognition of behavioral anomalies; pervasive computing and context awareness; context modeling techniques; privacy in location-based services; privacy in pervasive computing
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Special Issue Information

Dear Colleagues,

Context-awareness is a fundamental ingredient of pervasive computing. Indeed, the ability of modelling and recognizing the user’s context is necessary to effectively adapt applications and services to his/her needs, goals and expectations. Unfortunately, in most today’s applications, adaptation features are limited to considering location, profile and preferences, disregarding key data such as activities, mood, and social context, just to name a few. Hence, a hot research topic is devising methods to exploit the recent advancements in sensor miniaturization and integration, as well as other information sources such as social networks, for capturing and predicting a comprehensive picture of the user’s context at a fine-grained level. This goal involves several research challenges in the fields of data integration, knowledge representation and management, artificial intelligence, big data analysis, and human-computer interaction. Moreover, acquiring and analysing user’s context data determines several issues in terms of security, privacy, trust and ethics.

The purpose of this special issue is to collect high quality research outcomes from both academy and industry, which may advance the state of the art in context-awareness. Original, high quality contributions that have not yet been published, submitted, or are not currently under review by other journals or peer-reviewed conferences are sought.

Topics of interest include, but are not limited to, the following topics:

  • Context representation
  • Context reasoning
  • Statistical, symbolic, and hybrid methods for context recognition
  • Recognition of specific context data (activity recognition, mood recognition...)
  • Modelling and recognizing social context
  • Big data analysis for context awareness
  • Context-based adaptation methods and frameworks
  • Context-based middlewares
  • Context-based applications
  • Context-aware human-computer interaction
  • Security, privacy, trust, and ethical issues in context-awareness
Prof. Daniele Riboni
Guest Editor

Manuscript Submission Information

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Keywords

  • Context representation and reasoning
  • Context-aware adaptation
  • Context-aware HCI
  • Security, privacy and trust in context-aware computing

Published Papers (4 papers)

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Editorial

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2 pages, 138 KiB  
Editorial
Special Issue on Context Awareness
by Daniele Riboni
Information 2018, 9(3), 67; https://doi.org/10.3390/info9030067 - 18 Mar 2018
Cited by 1 | Viewed by 3180
Abstract
Context-awareness is a fundamental ingredient of pervasive computing.[...] Full article
(This article belongs to the Special Issue Context Awareness)

Research

Jump to: Editorial

17 pages, 907 KiB  
Article
The Evolution of Contextual Information Processing in Informatics
by Phivos Mylonas
Information 2018, 9(3), 47; https://doi.org/10.3390/info9030047 - 27 Feb 2018
Cited by 3 | Viewed by 4473
Abstract
After many decades of flourishing computer science it is now rather evident that in a world dominated by different kinds of digital information, both applications and people are forced to seek new, innovative structures and forms of data management and organization. Following this [...] Read more.
After many decades of flourishing computer science it is now rather evident that in a world dominated by different kinds of digital information, both applications and people are forced to seek new, innovative structures and forms of data management and organization. Following this blunt observation, researchers in informatics have strived over the recent years to tackle the non-unique and rather evolving notion of context, which aids significantly the data disambiguation process. Motivated by this environment, this work attempts to summarize and organize in a researcher-friendly tabular manner important or pioneer related research works deriving from diverse computational intelligence domains: Initially, we discuss the influence of context with respect to traditional low-level multimedia content analysis and search, and retrieval tasks and then we advance to the fields of overall computational context-awareness and the so-called human-generated contextual elements. In an effort to provide meaningful information to fellow researchers, this brief survey focuses on the impact of context in modern and popular computing undertakings of our era. More specifically, we focus to the presentation of a short review of visual context modeling methods, followed by the depiction of context-awareness in modern computing. Works dealing with the interpretation of context by human-generated interactions are also discussed herein, as the particular domain gains an ever-increasing proportion of related research nowadays. We then conclude the paper by providing a short discussion on (i) the motivation behind the included context type categorization into three main pillars; (ii) the findings and conclusions of the survey for each context category; and (iii) a couple of brief advices derived from the survey for both interested developers and fellow researchers. Full article
(This article belongs to the Special Issue Context Awareness)
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19 pages, 2352 KiB  
Article
Realizing Loose Communication with Tangible Avatar to Facilitate Recipient’s Imagination
by Shinichi Endo and Kaori Fujinami
Information 2018, 9(2), 32; https://doi.org/10.3390/info9020032 - 01 Feb 2018
Cited by 2 | Viewed by 5217
Abstract
Social network services (SNSs) allow users to share their daily experiences and significant life events with family, friends, and colleagues. However, excessive use of SNSs or dependence upon them can cause a problem known as “SNS fatigue” that is associated with feelings of [...] Read more.
Social network services (SNSs) allow users to share their daily experiences and significant life events with family, friends, and colleagues. However, excessive use of SNSs or dependence upon them can cause a problem known as “SNS fatigue” that is associated with feelings of anxiety and loneliness. In other words, the tighter and stronger the social bonds are through SNSs, the more users feel anxiety and loneliness. We propose a method for providing users with a sense of security and connectedness with others by facilitating loose communication. Loose communication is defined by the presentation of abstract information and passive (one-way) communication. By focusing on the physicality and anthropomorphic characteristics of tangible avatars, we investigated a communication support system, Palco, that displays three types of contextual information with respect to the communication partner—emotional state, activity, and location—in a loose manner. Our approach contrasts with typical SNS interaction methods characterized by tight communication with interactivity and concrete information. This paper describes the design and implementation of Palco, as well as its usefulness as a communication tool. The emotional effects on the users are evaluated through a user study with 10 participants over four days. The results imply that Palco can effectively communicate the context of the communication partner, and provide a sense of security. Full article
(This article belongs to the Special Issue Context Awareness)
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29 pages, 13933 KiB  
Article
UPCaD: A Methodology of Integration Between Ontology-Based Context-Awareness Modeling and Relational Domain Data
by Vinícius Maran, Guilherme Medeiros Machado, Alencar Machado, Iara Augustin and José Palazzo M. de Oliveira
Information 2018, 9(2), 30; https://doi.org/10.3390/info9020030 - 30 Jan 2018
Cited by 3 | Viewed by 7506
Abstract
Context-awareness is a key feature for ubiquitous computing scenarios applications. Currently, technologies and methodologies have been proposed for the integration of context-awareness concepts in intelligent information systems to adapt them to the execution of services, user interfaces and data retrieval. Recent research proposed [...] Read more.
Context-awareness is a key feature for ubiquitous computing scenarios applications. Currently, technologies and methodologies have been proposed for the integration of context-awareness concepts in intelligent information systems to adapt them to the execution of services, user interfaces and data retrieval. Recent research proposed conceptual modeling alternatives to the integration of the domain modeling in RDBMS and context-awareness modeling. The research described using highly expressiveness ontologies. The present work describes the UPCaD (Unified Process for Integration between Context-Awareness and Domain) methodology, which is composed of formalisms and processes to guide the data integration considering RDBMS and context modeling. The methodology was evaluated in a virtual learning environment application. The evaluation shows the possibility to use a highly expressive context ontology to filter the relational data query and discusses the main contributions of the methodology compared with recent approaches. Full article
(This article belongs to the Special Issue Context Awareness)
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