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Adapting Haptic Feedback for Guided Meditation

Related publications (116)

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Osmose - User Manual version 2.0

Martin Gassner, Zoé Périn-Levasseur, Francesca Palazzi, Raffaele Bolliger

OSMOSE is a platform for the study and design of complex integrated energy systems. The software is developed in the Laboratory for Industrial Energy Systems (LENI) in the Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. The project ...

Laboratoire d'Energétique Industrielle (LENI-EPFL)2010

Capturing and Analyzing User Behavior in Large Digital Libraries

Martin Rajman, Giorgi Gvianishvili, Ludmila Marian, Jérôme Caffaro

The size of digital libraries is increasing, making navigation and access to information more challenging. Improving the system by observing the users’ activities can help at providing better services to users of very large digital libraries. In this paper ...

2010

Experience in the Long-Term Monitoring of Bridges

Olivier Burdet

At the end of the 1980’s, a series of existing bridges in Switzerland were equipped with a network of hydrostatic leveling devices, with the aim of following their longterm behavior. Some of the bridges were known to exhibit a steady increase in their defo ...

3rd fib International Congress2010

Interaction design guidelines on critiquing-based recommender systems

Pearl Pu Faltings, Li Chen

A critiquing-based recommender system acts like an artificial salesperson. It engages users in a conversational dialog where users can provide feedback in the form of critiques to the sample items that were shown to them. The feedback, in turn, enables the ...

Springer Netherlands2009

How Users Perceive and Appraise Personalized Recommendations

Pearl Pu Faltings, Li Chen, Nicolas Jones

Traditional websites have long relied on users revealing their preferences explicitly through direct manipulation interfaces. However recent recommender systems have gone as far as using implicit feedback indicators to understand users' interests. More tha ...

Springer2009

How Users Perceive and Appraise Personalised Recommendations

Chen Li

2009

Learning collaborative manipulation tasks by demonstration using a haptic interface

Aude Billard, Sylvain Calinon, Elena Gribovskaya

This paper presents a method by which a robot can learn through observation to perform a collaborative manipulation task, namely lifting an object. The task is first demonstrated by a user controlling the robot's hand via a haptic interface. Learning extra ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

EEG Error-related Potentials Detection with a Bayesian Filter

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Pierre Bessière

Several studies describe evoked EEG potentials elicited when a subject is aware of an erroneous decision either taken by him or by an external interface. This paper try to detect Error-related potentials (ErrP) elicited when a human user want to monitors a ...

IEEE2009

Design and evaluation issues for user-centric online product search

Jiyong Zhang

Nowadays more and more people are looking for products online, and a massive amount of products are being sold through e-commerce systems. It is crucial to develop effective online product search tools to assist users to find their desired products and to ...

EPFL2008

Active: a unified platform for building intelligent applications

Computers have become affordable, small, omnipresent and are often connected to the Internet. However, despite the availability of such rich environments, user interfaces have not been adapted to fully leverage their potential. In our view, user interfaces ...

EPFL2008