Adaptive Interfaces for Supportive Ambient Intelligence Environments

Abascal, Julio; Castro, Isabel Fernández de; Lafuente, Alberto; María, Jesús

doi:10.1007/978-3-540-70540-6_4

Cited by 24 publications

(12 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These prior studies consider the autonomous generation of user interfaces but assume static behavior at run-time. Additionally, some of these systems focus only on particular aspects of user interfaces, for example, menus (Ressel et al, 2006), lists of items (Cantador et al, 2008) and message boxes (Abascal et al, 2008). Other studies analyze user interfaces in very limited application domains, such as multimedia control (Nichols et al, 2002), multimedia retrieval (Nichols et al, 2006), social information (Vazquez and López de Ipiña, 2008), and digital dossiers of artworks (Wang et al, 2006).…”

Section: Related Work and Contributionsmentioning

confidence: 97%

“…For example, the user profile (as an expansion of FOAF ontology) includes the concept of cognitive characteristic; depending on the contextsensitive application to be developed, this concept should to be specialized, for example, by relating this concept to an OWL or RDF vocabulary that includes cognitive characteristics. Authors such as Abascal et al (2008) and Golemati et al (2006) have studied user cognitive characteristics that affect interaction with Ambient Intelligence services. These kinds of taxonomy can be easily integrated in our context model to enable a definition of adaptive behavior based on them.…”

Section: User Context and Visualization Modelmentioning

confidence: 99%

“…News@hand (Cantador et al, 2008) is a news system that makes use of semantic technologies to provide online news recommendation services through the ontological description of contents and user preferences; recommendations are displayed in an autogenerated user interface that contains a paginated list of items. Abascal et al (2008) discuss adaptive user interfaces oriented to the needs of elderly people living in intelligent environments and propose an interface based on coherent multimedia text messages that appear on a TV screen. Gilson et al (2008) make use of domain knowledge in the form of ontologies to generate information visualizations from domain-specific web pages.…”

Section: Related Work and Contributionsmentioning

confidence: 99%

See 2 more Smart Citations

Towards the ubiquitous visualization: Adaptive user-interfaces based on the Semantic Web

Hervás

Bravo

2011

Interacting with Computers

View full text Add to dashboard Cite

a b s t r a c tThis manuscript presents an infrastructure that contributes to ubiquitous information. Advances in Ambient Intelligence may help to provide us with the right information at the right time, in an appropriate manner and through the most suitable device for each situation. It is therefore crucial for such devices to have contextual information; that is, to know the person or persons in need of information, the environment, and the available devices and services. All of this information, in appropriate models, can provide a simplified view of the real world and let the system act more like a human and, consequently, more intelligently. A suitable context model is not enough; proactive user interface adaptation is necessary to offer personalized information to the user. In this paper, we present mechanisms for the management of contextual information, reasoning techniques and adaptable user interfaces to support visualization services, providing functionality to make decisions about what and how available information can be offered. Additionally, we present the ViMos framework, an infrastructure to generate context-powered information visualization services dynamically.

show abstract

Section: Related Work and Contributionsmentioning

confidence: 97%

Section: User Context and Visualization Modelmentioning

confidence: 99%

Section: Related Work and Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

Towards the ubiquitous visualization: Adaptive user-interfaces based on the Semantic Web

Hervás

Bravo

2011

Interacting with Computers

View full text Add to dashboard Cite

show abstract

“…Further AmI-based interface is presented as adaptive interface [32] for complex AmI environments sharing resources (hardware, networks and knowledge); or providing a generation of user interfaces for Ambient Assisted Living services based on an interaction framework [33]. "World around us is interface to information" refers to AmI context [7].…”

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

View full text Add to dashboard Cite

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.

show abstract

“…The complexity of these environments (the availability of a variety of multimedia and interaction devices, sensors and appliances) is an essential issue in the development of context-adaptive applications. Additionally special needs of different target groups like supportive �r rehabilitative usage, non disruptiveness, invisibility, declining capabilities of users, low acceptance for technical problems and the involvement in the active everyday life [1,3] have to be considered carefully. Whi�e personalization puts a strong focus on the user as �e mam actor for any kind of system, context-of-use adaptatIon goes one step further and comprises adaptation to user, platform and environment.…”

Section: Introductionmentioning

confidence: 99%

A 3-layer architecture for smart environment models

Lehmann

Rieger

Blumendorf

et al. 2010

2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

View full text Add to dashboard Cite

Enriched with more and more intelligent devices modern homes rapidly transform into smart environments. Their growing capabilities enable the implementation of a new generation of ubiquitous applications, but also raise the complexity of the development. Developers of applications for smart environments must cope with a multitude of sensors, devices users and thus contexts. We present a model-based , . approach for modeling of, reasoning about a�d controll�ng smart environments. A context model provides adaptive applications with a unified access to the smart home environment and, through a unique approach of utilizing executable models, also reflects its state at runtime. The presented approach supports runtime user interface adaption and reconfiguration for seamless interaction and has been successfully utilized to build several context-adaptive applications running in our smart home testbed. (Abstract) Smart environments; context models; executable models; ambient intelligence

show abstract

Adaptive Interfaces for Supportive Ambient Intelligence Environments

Cited by 24 publications

References 3 publications

Towards the ubiquitous visualization: Adaptive user-interfaces based on the Semantic Web

Towards the ubiquitous visualization: Adaptive user-interfaces based on the Semantic Web

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

A 3-layer architecture for smart environment models

Contact Info

Product

Resources

About