Context-Aware Mobile Collaborative Systems: Conceptual Modeling and Case Study

Benítez–Guerrero, Edgard; Mezura-Godoy, Carmen; Montané-Jiménez, Luis G.

doi:10.3390/s121013491

Cited by 20 publications

(9 citation statements)

References 17 publications

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“…BenitezGuerrero et al [6] present the effective activity as an instance of an activity model that describes the family of actors that can participate in the activity, how the activity can be carried out, the family of objects that can be manipulated or produced, and which roles actors and objects will play in the activity. The notion of effective activity is similar to the notion of practice introduced previously, and leads to define the realization of a group activity as the development of a group practice.…”

Section: Related Workmentioning

confidence: 99%

CxG-based simulation of Group Activity

Brézillon¹

2018

MUC

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.Brezillon@lip6.fr RÉSUMÉ. Le formalisme des Graphes contextuels permet de représenter la réalisation d'une tâche par un acteur. L'objectif est de fournir aux décideurs un panorama clair des différentes pratiques pour réaliser une tâche, et ainsi pouvoir choisir la meilleure pratique dans le contexte rencontré. Le formalisme des Graphes Contextuels a été utilisé avec succès dans de nombreux domaines tels que la médecine, la biologie, et les transports. Dans ce papier, nous proposons une extension du formalisme pour modéliser des activités collaboratives, et illustrer les extensions apportées dans une application de taille réelle pour l'Armée (projet TACTIC). Les extensions portent sur (1) l'introduction de paramètres de simulation pour manager les interactions entre acteurs, (2) une notion de tour pour modéliser une traversée du méta-graphe contextuel (le modèle de l'activité du groupe), (3) un mécanisme de gestion des tours entre les membres du groupe pour manager l'utilisation cyclique du méta-graphe contextuel, et (4) un simulateur basé sur les graphes contextuels pour étudier les interactions entre les acteurs. Une réelle compréhension d'une activité collaborative ne se limite pas à aider le décideur, mais à fournir aussi des outils pour construire des applications opérationnelles. ABSTRACT. The Contextual-Graph (CxG) formalism allows the representation of a task realization by an actor. The objective is to provide decision makers with a clear panorama of the different ways to realize a task (i.e. the practices), and thus of the implications of choosing one alternative or another. The Contextual-Graph formalism has been successfully used in many fields, such as medicine, biology, and transportation. In this paper, we extend the formalism to modeling group activity, and illustrate its extensions on a real-world application called the TACTIC project. The extensions concern the introduction of (1) simulation parameters for managing the interactions among the actors, (2) the notion of turn for representing a traversal of the contextual meta-graph (the model of the group activity), (3) a turn mechanism for incorporating the cyclic use of the contextual meta-graph, and (4) a CxG-based simulator for studying interaction among group members. A real understanding of group activity does not just help decision makers, but also provides real requirements for building successful applications. MOTS-CLÉS. Activité de groupe, activité collaborative, modèle d'interaction entre acteurs, réalisation d'une tâche, contexte, Graphes Contextuels (CxG), simulation basée sur les graphes contextuels, mécanisme de management de tours entre les acteurs.

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Section: Related Workmentioning

confidence: 99%

CxG-based simulation of Group Activity

Brézillon¹

2018

MUC

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“…In the scope of collaborative SOAs, most works are focused on mobile phone collaboration or team work (Rubinsztejn, Endler, Sacramento, Gonçalves, & Nascimento, 2004;Benítez-Guerrero, Mezura-Godoy, & Montané-Jiménez, 2012). In the scope of the IoT, there are two relevant surveys.…”

Section: Related Workmentioning

confidence: 99%

COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things

Garcia-de-Prado

Ortiz

Boubeta-Puig

2017

Expert Systems with Applications

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Internet of Things (IoT) has radically transformed the world; currently, every device can be connected to the Internet and provide valuable information for decision-making. In spite of the fast evolution of technologies accompanying the grow of IoT, we are still faced with the challenge of providing a service oriented architecture, which facilitates the inclusion of data coming together from several IoT devices, data delivery among a system's agents, real-time data processing and service provision to users. Furthermore, context-aware data processing and architectures still pose a challenge, in spite of being key requirements in order to get stronger IoT architectures. To face this challenge, we propose a COLLaborative ConText Aware Service Oriented Architecture (COLLECT), which facilitates both the integration of IoT heterogeneous domain context data-through the use of a light message broker-and easy data delivery among several agents and collaborative participants in the system-making use of an enterprise service bus-. In addition, this architecture provides real-time data processing thanks to the use of a complex event processing engine as well as services and intelligent decision-making procedures to users according to the needs of the domain in question. As a result, COLLECT has a great impact on context-aware decentralized and collaborative reasoning for IoT, promoting context-aware intelligent decision making in such scope. Since context-awareness is key for a wide range of recommender and intelligent systems, the presented novel solution improves decision making in a large number of fields where such systems require to promptly process a variety of ubiquitous collaborative and context-aware data.

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“…In Benítez-Guerrero et al (2012), a model and an architecture for context-aware mobile collaborative systems are proposed. The basic idea is that users can assume a certain roles and carry out activities with the defined objects.…”

Section: Context Aware Systemmentioning

confidence: 99%

A framework for context-aware application programming on smart phone

Sung

2018

IJITM

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Our framework can be classified in six main groups. Sensor manager retrieves and updates a program component that collects sensor data from the library. Data generator generates current or statistic summary data, or statistic index. Context generator is for developing a program to generate automatically various data and context from existing program skeletons. Class library and API is for developing a service application program or a program to extract and infer various data and context. Service generator generates a program component for summary reports, inference chain reports, communication services and personalised services. Inference engine infers context by rule-based and case-based reasoning. The developed application by our framework is extracted and infers various context such as 'moving' or 'stay home' and offers users the personalised services about current user's context.

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Context-Aware Mobile Collaborative Systems: Conceptual Modeling and Case Study

Cited by 20 publications

References 17 publications

CxG-based simulation of Group Activity

CxG-based simulation of Group Activity

COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things

A framework for context-aware application programming on smart phone

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