2,549 research outputs found
WEST: A Web Browser for Small Terminals
We describe WEST, a WEb browser for Small Terminals, that aims to solve some of the problems associated with accessing web pages on hand-held devices. Through a novel combination of text reduction and focus+context visualization, users can access web pages from a very limited display environment, since the system will provide an overview of the contents of a web page even when it is too large to be displayed in its entirety. To make maximum use of the limited resources available on a typical hand-held terminal, much of the most demanding work is done by a proxy server, allowing the terminal to concentrate on the task of providing responsive user interaction. The system makes use of some interaction concepts reminiscent of those defined in the Wireless Application Protocol (WAP), making it possible to utilize the techniques described here for WAP-compliant devices and services that may become available in the near future
Elastic Windows: A Hierarchical Multi-Window World-Wide Web Browser
The World-Wide Web (WWW) is becoming an invaluable source for the
information needs of many users. However, current browsers are still
primitive, in that they do not support many of the navigation needs of
users, as indicated by user studies. They do not provide an overview
and a sense of location in the information structure being
browsed. Also they do not facilitate the organization and filtering of
information nor aid users in accessing already visited pages without
much cognitive demands. In this paper, a new browsing interface is
proposed with multiple hierarchical windows and efficient multiple
window operations. It provides a flexible organization where users can
quickly organize, filter, and restructure the information on the
screen as they reformulate their goals. Overviews can give the user a
sense of location in the browsing history as well as provide fast
access to a hierarchy of pages
Mobile and web tools for participative learning
Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, para a obtenção do grau de Mestre em Engenharia InformáticaThe combination of different media formats has been a crucial aspect on teaching and learning processes. The recent developments of multimedia technologies over the Internet and using mobile devices can improve the communication between professors and students, and allow students to study anywhere and anytime, allowing each student progress at its own pace. The usage of these new platforms and the increase of multimedia sharing applied to educational environments allow a more participative learning, and make the study of interfaces a relevant
aspect of existing multimedia learning systems.
The work done in this dissertation explores interfaces and tools for participative learning,using multimedia educational systems over Internet broadband and mobile devices. In this work, aWeb-based learning system was developed, which enables to store, transmit, search and share the contents of courses captured in video and its extension to support Tablet PCs. The
Web system, developed as part of the VideoStore project, explores video interfaces and video annotations, which encourage the participative work. The usage of Tablet PCs, through the mEmLearn project, has the aim to encourage the participative work, allowing the students to augment the course materials and to share them with other students or instructors
Capturing Evolution Genes for Time Series Data
The modeling of time series is becoming increasingly critical in a wide
variety of applications. Overall, data evolves by following different patterns,
which are generally caused by different user behaviors. Given a time series, we
define the evolution gene to capture the latent user behaviors and to describe
how the behaviors lead to the generation of time series. In particular, we
propose a uniform framework that recognizes different evolution genes of
segments by learning a classifier, and adopt an adversarial generator to
implement the evolution gene by estimating the segments' distribution.
Experimental results based on a synthetic dataset and five real-world datasets
show that our approach can not only achieve a good prediction results (e.g.,
averagely +10.56% in terms of F1), but is also able to provide explanations of
the results.Comment: a preprint version. arXiv admin note: text overlap with
arXiv:1703.10155 by other author
- …