Ifaces: Adaptative user interfaces for ambient intelligence

Proceedings of the IADIS International Conference on Interfaces and Human Computer Interaction. Amsterdam, The Netherlands 25-27 July 2008In this paper we present an ontology language to model an environment and its graphical user interface in the field of ambient intelligence. This language allows a simple definition of the environment and automatically produces its associated interaction interface. The interface dynamically readjusts to the characteristics of the environment and the available devices. Therefore it adapts to the necessities of the people who have to use it and their resources. The system has been developed and tested employing a real ambient intelligence environment.This work has been partly funded by HADA project number TIN2007 – 64718 and the UAM – Indra Chair in Ambient Intelligence

Tratamiento de información contextual en entornos inteligentes

Tesis doctoral inédita leída en la Universidad Autónoma de Madrid. Escuela Politécnica Superior, Departamento de Ingeniería Informática.18-05-2006

Using 2D codes for creating ubiquitous user interfaces for ambient intelligence environments

Workshop Proceedings of the 6th International Conference on Intelligent Environments, Vol 8, Javier Gómez, Germán Montoro, Pablo A. Haya, Xavier Alamán, Using 2D Codes for Creating Ubiquitous User Interfaces for Ambient Intelligence Environments, 42 - 51, Copyright 2010, with permission from IOS PressThis is an electronic version of the paper presented at the 1st International Workshop on Human-Centric Interfaces for Ambient Intelligence (HCIAmI'10), held in Kuala Lumpur (Malaysia) on 2010Smart phones are one of the most popular devices nowadays. The enrichment of their technical capabilities allows them to carry out new operations beyond the traditional in telephony. This work presents a system that automatically generates user interfaces for Ambient Intelligence environments. This way, smart phones act as “ubiquitous remote controllers” for the elements of the environment. The paper proposes some ideas about the usability and adequacy of these interfaces.This work was partially funded by projects eMadrid (Comunidad de Madrid, S2009/TIC-1650), Vesta (Ministerio de Industria, Turismo y Comercio, TSI-020100- 2009-828) and HADA (Ministerio de Ciencia y Educación, TIN 2007-64718

DS-UCAT: Sistema de diálogo multimodal y multilingüe para un entorno educativo

Actas de las IV Jornadas de Tecnología del Habla (JTH 2006)En este artículo presentamos un sistema de diálogo multimodal y multilingüe que estamos desarrollando para proporcionar asistencia a estudiantes y profesores en algunas de sus actividades habituales en un entorno educativo, p. e. en una Facultad de una Universidad. Tenemos previsto que además de interactuar con el usuario, el sistema pueda interactuar con el entorno en que éste se encuentra en un momento dado, el cual puede cambiar a lo largo de una interacción conforme el usuario se mueve dentro del centro educativo. El artículo describe la arquitectura del sistema, muestra cómo se realiza la interacción con la versión actual del mismo, y comenta cómo tenemos previsto utilizar técnicas de inteligencia ambiental para mejorar su funcionamiento.Este trabajo ha sido financiado por el Ministerio de Ciencia y Tecnología, mediante el proyecto TIN2004-03140 Ubiquitous Collaborative Training

Adaptive interfaces for people with special needs

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-02481-8_117Proceedings of 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009This paper covers those aspects of modern interfaces which expand and enhance the way in which people interact with computers, like multi-touch table systems, presence-detection led displays and interactive virtualized real-life environments. It elaborates on how disabled or conditioned people take great advantage of natural interaction as interfaces adapt to their needs; interfaces which can be focused towards memory, cognitive or physical deficiencies. Applications size-up to serve specific users with customized tools and options, and are aware while taking into account the state and situation of the individual.This work has been partly funded by HADA project number TIN2007 – 64718

Towards a ubiquitous end-user programming system for smart spaces

This article presents a rule–based agent mechanism as the kernel of a ubiquitous end–user, UI–independent programming system. The underlying goal of our work is to allow end–users to control and program their environments in a uniform, application–independent way. The heterogeneity of environments, users and programming skills, as well as the coexistence of different users and domains of automation in the same environment are some of the main challenges analyzed. For doing so, we present our system and describe some of the real–environments, user studies and experiences we have had in the development process.This work has been partially funded by the following projects: HADA (Ministerio de Ciencia y Educación de España, TIN2007-64718), Vesta (Ministerio de Industria, Turismo y Comercio de España, TSI-020100-2009-828) y eMadrid (Comunidad de Madrid, S2009/TIC-1650)

A task-driven design model for collaborative AmI systems

Proceedings of the CAISE*06 Workshop on Ubiquitous Mobile Information and Collaboration Systems UMICS '06. Luxemburg, June 5-9, 2006.The proceedings of this workshop also appeared in printed version In T. Latour and M. Petit (eds), Proceedings of Workshops and Doctoral Consortium, The 18th International Conference on Advanced Information Systems Engineering - Trusted Information Systems (CAiSE'06), June 5-9, 2006, Presses Universitaires de Namur, 2006, ISBN 2-87037-525.Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)Ambient intelligence (AmI) is a promising paradigm for humancentred interaction based on mobile and context-aware computing, natural interfaces and collaborative work. AMENITIES (a conceptual and methodological framework based on task-based models) has been specially devised for collaborative systems and is the starting point for a new design proposal for application to AmI systems. This paper proposes a task-based model for designing collaborative AmI systems, which attempts to gather the computational representation of the concepts involved (tasks, laws, etc.) and the relationships between them in order to develop a complete functional environment in relation with the features of AmI systems (collaborative, context-aware, dynamic, proactive, etc.). The research has been applied to an e-learning environment and is implemented using a blackboard model.This research is partially supported by a Spanish R&D Project TIN2004-03140, Ubiquitous Collaborative Adaptive Training (U-CAT)

A design model applied to development of AmI systems

Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)Proceedings of the I International Conference on Ubiquitous Computing: Applications, Technology and Social Issues Alcalá de Henares, Madrid, Spain, June 7-9, 2006.Ambient intelligence (AmI) represents a promising paradigm for group-centred collaborative interaction with the surrounding environment. The complexity for AmI designs is closely connected with the mechanism for describing their inherent features. What would be interesting is a method which is capable of describing these properties in a straightforward way. Task modelling techniques are a suitable method for AmI systems. This paper describes a new design and implementation proposal for developing AmI systems, starting from the conceptual and methodological frameworks proposed by AMENITIES, a methodology based on task and behaviour models for the study and development of cooperative systems, extending it with inherent AmI features. With respect to the implementation of AmI systems, an intermediate software layer supporting common functional requirements is supplied in order to simplify their development. The overall scheme therefore simplifies the analysis and development of such systems. These features are shown in a case study of a collaborative e-learning AmI systemThis research is partially supported by a Spanish R&D Project TIN2004-03140, Ubiquitous Collaborative Adaptive Training (U-CAT)

Development of ambient intelligence systems based on collaborative task models

So far, the Ambient Intelligence (AmI) paradigm has been applied to the development of a great variety of real systems. They use advanced technologies such as ubiquitous computing, natural interaction and active spaces, which become part of social environments. In the design of AmI systems, the inherent collaboration among users (with the purpose of achieving common goals) is usually represented and treated in an ad-hoc manner. However, the development of this kind of systems can take advantage of rich design models which embrace concepts in the domain of collaborative systems in order to provide the adequate support for explicit or implicit collaboration. Thereby, relevant requirements to be satisfied, such as an effective coordination of human activities by means of task scheduling, demand to dynamically manage and provide group- and context-awareness information. This paper addresses the integration of both proactive and collaborative aspects into a unique design model for the development of AmI systems; in particular, the proposal has been applied to a learning system. Furthermore, the implementation of this system is based on a blackboardbased architecture, which provides a well-defined high-level interface to the physical layer.This research is partially supported by a Spanish R&D Project TIN2004-03140, Ubiquitous Collaborative Adaptive Training (U-CAT)