3DSim

Shirehjini, Ali Asghar Nazari; Klar, Felix

doi:10.1145/1107548.1107621

Cited by 28 publications

(2 citation statements)

References 2 publications

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“…The bases for building of AmI were introduced through such examples as AMENITIES methodology [36], 3D-based rapid prototyping [37]; a Product Line Approach [38], Aspect-oriented programming [39].…”

Section: Overview Of the Existing Ami And Se Related Developmentsmentioning

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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Section: Overview Of the Existing Ami And Se Related Developmentsmentioning

confidence: 99%

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

Chambers¹

2014

JSEA

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“…Systems such as 3DSim [2] or UbiWorld [22] place a higher emphasis on user-environment interaction. Their vision is similar to ours.…”

Section: Introductionmentioning

confidence: 99%

An infrastructure for experience centered agile prototyping of ambient intelligence

Silva

Campos

Harrison

2009

Proceedings of the 1st ACM SIGCHI Symposium on Engineering Interactive Computing Systems

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Ubiquitous computing poses new usability challenges that cut across design and development. We are particularly interested in "spaces" enhanced with sensors, public displays and personal devices. How can prototypes be used to explore the user's mobility and interaction, both explicitly and implicitly, to access services within these environments? Because of the potential cost of development and design failure, the characteristics of such systems must be explored using early versions of the system that could disrupt if used in the target environment. Being able to evaluate these systems early in the process is crucial to their successful development. This paper reports on an effort to develop a framework for the rapid prototyping and analysis of ambient intelligence systems.

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Immersiveness of Ubiquitous Computing Environments Prototypes: A Case Study

Abade

Campos

Moreira

et al. 2015

Distributed, Ambient, and Pervasive Interactions

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The development of ubiquitous computing (ubicomp) environments raises several challenges in terms of their evaluation. Ubicomp virtual reality prototyping tools enable users to experience the system to be developed and are of great help to face those challenges, as they support developers in assessing the consequences of a design decision in the early phases of development. Given the situated nature of ubicomp environments, a particular issue to consider is the level of realism provided by the prototypes. This work presents a case study where two ubicomp prototypes, featuring di↵erent levels of immersion (desktop-based versus CAVE-based), were developed and compared. The goal was to determine the cost/benefits relation of both solutions, which provided better user experience results, and whether or not simpler solutions provide the same user experience results as more elaborate one.

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3DSim

Cited by 28 publications

References 2 publications

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

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

An infrastructure for experience centered agile prototyping of ambient intelligence

Immersiveness of Ubiquitous Computing Environments Prototypes: A Case Study

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