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Author

L. Miguel Encarnação

Other affiliations: Humana
Bio: L. Miguel Encarnação is an academic researcher from University of Tübingen. The author has contributed to research in topics: User interface & Augmented reality. The author has an hindex of 21, co-authored 49 publications receiving 1920 citations. Previous affiliations of L. Miguel Encarnação include Humana.

Papers
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Journal ArticleDOI
TL;DR: This issue contains five feature articles from the CGaA general queue, on topics ranging from natural user interfaces to interacting with undersea robots to a machine-learning-driven sky model.
Abstract: In addition to many fine department contributions, this issue contains five feature articles from the CGaA general queue, on topics ranging from natural user interfaces to interacting with undersea robots to a machine-learning-driven sky model.

2 citations

Journal ArticleDOI
TL;DR: In diesem Beitrag werden einige aktuelle Forschungsansätze des Fraunhofer-Instituts für Graphische Datenverarbeitung zu kontinuierlichen und nichtsymbolischen Interaktionsparadigmen vorgestellt and ihre Auswirkungen auf die Usability-Forschung diskutiert.
Abstract: Weltweit wird an der Entwicklung von Technologien für zukünftige interaktive Systeme gearbeitet, die neue Möglichkeiten bieten, Usability-Probleme zu adressieren. In diesem Beitrag werden einige aktuelle Forschungsansätze des Fraunhofer-Instituts für Graphische Datenverarbeitung zu kontinuierlichen und nichtsymbolischen Interaktionsparadigmen vorgestellt und ihre Auswirkungen auf die Usability-Forschung diskutiert. An konkreten Projekten werden neue Herausforderungen an die Usability-Forschung dargestellt, neuartige Lösungen für Usability-Probleme erläutert und neue Werkzeuge und Frameworks für die Unterstützung des Usability Engineerings vorgestellt.

2 citations


Cited by
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Journal ArticleDOI
TL;DR: This paper is a review of existing work on adaptive hypermedia and introduces several dimensions of classification of AH systems, methods and techniques and describes the most important of them.
Abstract: Adaptive hypermedia is a new direction of research within the area of adaptive and user model-based interfaces. Adaptive hypermedia (AH) systems build a model of the individual user and apply it for adaptation to that user, for example, to adapt the content of a hypermedia page to the user's knowledge and goals, or to suggest the most relevant links to follow. AH systems are used now in several application areas where the hyperspace is reasonably large and where a hypermedia application is expected to be used by individuals with different goals, knowledge and backgrounds. This paper is a review of existing work on adaptive hypermedia. The paper is centered around a set of identified methods and techniques of AH. It introduces several dimensions of classification of AH systems, methods and techniques and describes the most important of them.

1,948 citations

Journal ArticleDOI
TL;DR: A fiducial marker system specially appropriated for camera pose estimation in applications such as augmented reality and robot localization is presented and an algorithm for generating configurable marker dictionaries following a criterion to maximize the inter-marker distance and the number of bit transitions is proposed.

1,758 citations

Journal ArticleDOI
TL;DR: Challenges augmented reality is facing in each of these applications to go from the laboratories to the industry, as well as the future challenges the authors can forecast are also discussed in this paper.
Abstract: This paper surveys the current state-of-the-art of technology, systems and applications in Augmented Reality. It describes work performed by many different research groups, the purpose behind each new Augmented Reality system, and the difficulties and problems encountered when building some Augmented Reality applications. It surveys mobile augmented reality systems challenges and requirements for successful mobile systems. This paper summarizes the current applications of Augmented Reality and speculates on future applications and where current research will lead Augmented Reality's development. Challenges augmented reality is facing in each of these applications to go from the laboratories to the industry, as well as the future challenges we can forecast are also discussed in this paper. Section 1 gives an introduction to what Augmented Reality is and the motivations for developing this technology. Section 2 discusses Augmented Reality Technologies with computer vision methods, AR devices, interfaces and systems, and visualization tools. The mobile and wireless systems for Augmented Reality are discussed in Section 3. Four classes of current applications that have been explored are described in Section 4. These applications were chosen as they are the most famous type of applications encountered when researching AR apps. The future of augmented reality and the challenges they will be facing are discussed in Section 5.

1,012 citations

Book ChapterDOI
01 Jan 2007
TL;DR: This chapter complements other chapters of this book in reviewing user models and user modeling approaches applied in adaptive Web systems by focusing on the overlay approach to user model representation and the uncertainty-based approach touser modeling.
Abstract: One distinctive feature of any adaptive system is the user model that represents essential information about each user This chapter complements other chapters of this book in reviewing user models and user modeling approaches applied in adaptive Web systems The presentation is structured along three dimensions: what is being modeled, how it is modeled, and how the models are maintained After a broad overview of the nature of the information presented in these various user models, the chapter focuses on two groups of approaches to user model representation and maintenance: the overlay approach to user model representation and the uncertainty-based approach to user modeling

869 citations

Patent
24 Jul 2001
TL;DR: In this paper, a method of using stereo vision to interface with a computer is described, which includes capturing a stereo image, processing the stereo image to determine position information of an object in the stereo images, and communicating the position information to the computer.
Abstract: A method of using stereo vision to interface with a computer is provided. The method includes capturing a stereo image, and processing the stereo image to determine position information of an object in the stereo image. The object is controlled by a user. The method also includes communicating the position information to the computer to allow the user to interact with a computer application.

838 citations