An infrastructure for experience centered agile prototyping of ambient intelligence

Abstract. The user experience of ubiquitous environments is a determining factor in their success. The characteristics of such systems must be explored as early as possible to anticipate potential user problems, and to reduce the cost of redesign. However, the development of early prototypes to be evaluated in the target environment can be disruptive to the ongoing system and therefore unacceptable. This paper reports on an ongoing effort to explore how model-based rapid prototyping of ubiquitous environments might be used to avoid actual deployment while still enabling users to interact with a representation of the system. The paper describes APEX, a framework that brings together an existing 3D Application Server with CPN Tools. APEX-based prototypes enable users to navigate a virtual world simulation of the envisaged ubiquitous environment. The APEX architecture and the proposed CPN-based modelling approach are described. An example illustrates their use.

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“…This paper builds on [18]. There, the early concept of the APEX framework was discussed, and some initial results presented.…”

Section: Introductionmentioning

confidence: 99%

The APEX Framework: Prototyping of Ubiquitous Environments Based on Petri Nets

Silva

Ribeiro

Fernandes

et al. 2010

Human-Centred Software Engineering

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“…Overview of the existing AmI examples showed that previously the notions of AmI environments were used for testing. Such, a use of the environment was presented in "the rapid prototyping and analysis of Ambient Intelligence systems" [40]. Implicitly AmI environments were introduced as space of "activity sphere" [41] or "AmI Ecosystem" [42].…”

Section: Ami Environments Issuesmentioning

confidence: 99%

Models, AmI-Creator and A-Methodology for Ambient Intelligence Environments

Chambers¹

2014

JSEA

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The current paper introduces an approach to a development of Ambient Intelligence domainbased software systems from scratch. The presented approach is based on models. The paper also presents the domain-related models expressing different levels of abstractions and stages of the development. The approach refers to a Model-Driven Development of Ambient Intelligence which was suggested at AmI-07-Ambient Intelligence conference. The approach is presented as a standard with its feasible realization. It starts from modeling of a content of the future AmI-dedicated software system and concludes by mapping the graphical concepts into a final code. A process proving feasibility and correctness of the approach is provided through a dedicated research methodology. Its process comprises an identification of needs in a speedy development of the systems. It is followed by studying of the currently available techniques capable of supporting the development and an experimenting with them. It continues by finding a solution, verified by its validation and concludes by an identification of the further perspectives. The developed approach presents a common way of a communication amongst stakeholders participating in creating of AmI-based environments. Such communication involves the notations of AmI-Creator-a DomainSpecific Language of Ambient Intelligence domain. Every part of DSL corresponds to a demonstration of A-methodology expressing a step-by-step guidance for the development. The methodology comprises two parts dedicated to providing semantics for DSL through studying of Ambient Intelligence domain ontology; and development of actual environments. A validity of the working proposition is confirmed by three examples. The further challenges refer to an extension of the presented work by other frameworks and expansion to a development of different domains with complex organizations.

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“…3.3 3D environment model with CPN Silva et al (2009) proposed to combine OpenSimulator tools and CPN to model the 3D environment. Here the architectural information such as location, physical attributes of the components, and the space is defined using OpenSimulator.…”

Section: Petri Net (Pn)mentioning

confidence: 99%

“…The objective of current research on PN-based modeling is to develop a uniform model for efficiently handling the context management flow. The previous approaches employing the PN have been focusing on representing the relationships and dependencies among the contexts and service provision (Jørgensen et al 2009;Kwon 2004;Silva et al 2009;Sun et al 2010). In this paper we investigate the PN-based context modeling approach while focusing on the issues of how the contexts are modeled and what kinds of context information needs to be considered.…”

Section: Introductionmentioning

confidence: 99%

Petri net-based context modeling for context-aware systems

Han

Youn

2011

Artif Intell Rev

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The context-aware services require to efficiently perceive not only the user requirements but also the context of the environment to provide customized services to the user. To efficiently develop the context-aware applications a systematic methodology correctly specifying the relation among dynamically changing contexts is essential. Here the context model simplifying the manipulation of complex contexts is a key accessor for the specification and analysis of the service. Among various modeling approaches such as timed automata (Tang and You in Intell Automat Soft Comput 16 (4):605-619, 2010), workflow (Rosemann et al. in Understanding context-awareness in business process design, 2010), Petri net (PN) (Jørgensen et al. in Innovat Syst Softw Eng 5(1):13-25, 2009), etc.developed for context-aware system, the PN-based approach has been recognized as one of the most effective one. In this paper we identify the issues of how the contexts are modeled and what kinds of the requirements needs to be considered in the context processing. We then discuss various Petri net (PN)-based modeling methodologies concerning the five important features for context processing: relationships and dependencies, time constraint, resource constraint, usability of modeling formalisms, and context identification. The study reveals that the approach effectively allowing both the time and resource constraints in the model while supporting other important properties needs to be developed further for accurately assess the context-aware systems. Also, the expandability and scalability issue need to be investigated.

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An infrastructure for experience centered agile prototyping of ambient intelligence

Cited by 15 publications

References 21 publications

The APEX Framework: Prototyping of Ubiquitous Environments Based on Petri Nets

The APEX Framework: Prototyping of Ubiquitous Environments Based on Petri Nets

Models, AmI-Creator and A-Methodology for Ambient Intelligence Environments

Petri net-based context modeling for context-aware systems

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