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Publications associées (32)

A Case for the Design of Attention and Gesture Systems for Social Robots

Daniel Carnieto Tozadore, Barbara Bruno, Utku Norman, Romain Maure, Erik Alessandro Wengle

The success of social robots, even (or, especially) in use cases as simple as "manning" a booth to promote a product in a shopping mall, depends on their ability of interacting with humans in a timely, effective and enjoyable way. In this paper we present ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

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Cu-based bimetallic catalysts have attracted great attention for the reverse water gas shift (RWGS) reaction due to their high activity and selectivity. This work reports the application of Cu-In bimetallic catalysts for the RWGS reaction and demonstrates ...

AMER CHEMICAL SOC2022

Highlights of the Science and Life of Peter Varga (1946-2018)

Wolf-Dieter Schneider

Peter Varga has passed on October 27, 2018. His pioneering discoveries of chemical resolution at the atomic scale on surface alloys, atomic resolution of ultrathin alkali halides, nucleation of bcc iron in ultrathin films, and the microscopic structure of ...

SURFACE SCI SOC JAPAN2020

Metropolitan Innovation Systems: Inquiry into the co-evolving relations between Industry, University and Government

Jiayun Shen

Innovation is crucial and decisive for the long-term development of a metropolitan region in the global economy. While firms certainly play a significant role in the development of specific innovation, the environment that nur-tures innovative firms and di ...

EPFL2020

Learning By Collaborative Teaching : An Engaging Multi-Party CoWriter Activity

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal, Laila Abdelsalam El-Hamamsy, Jauwairia Nasir

This paper presents the design of a novel and engaging collaborative learning activity for handwriting where a group of participants simultaneously tutor a Nao robot. This activity was intended to take advantage of both collaborative learning and the learn ...

2019

Robot Analytics: What Do Human-Robot Interaction Traces Tell Us About Learning?

Pierre Dillenbourg, Wafa Monia Benkaouar Johal, Jennifer Kaitlyn Olsen, Jauwairia Nasir, Utku Norman, Sina Shahmoradi

In this paper, we propose that the data generated by educational robots can be better used by applying learning analytics methods and techniques which can lead to a deeper understanding of the learners’ apprehension and behavior as well as refined guidelin ...

IEEE2019

Privacy in Recommender Systems

Mahsa Taziki

The upsurge in the number of web users over the last two decades has resulted in a significant growth of online information. Recommenders are machine learning approach and are becoming one of the main ways to navigate the Internet. They recommend appropria ...

EPFL2018

Morphological resilience to flow fluctuations of fine sediment deposits in bank lateral cavities

Anton Schleiss, Mário Jorge Rodrigues Pereira Da Franca, Carmelo Juez Jiménez, Matthias Thalmann

Lateral cavities are built in the banks of rivers for several purposes: to create harbors, to capture sed- iment, to keep a central navigable channel (i.e., Casiers de Girardon in the Rhone river) or to promote the formation of aquatic habitats if a limite ...

2018

Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series

Karl Aberer, Philippe Cudré-Mauroux, Julia Proskurnia, Carlos Castillo

Applying classical time-series analysis techniques to online content is challenging, as web data tends to have data quality issues and is often incomplete, noisy, or poorly aligned. In this paper, we tackle the problem of predicting the evolution of a time ...

Profiling, Modelling and Facilitating Online Activism

Julia Proskurnia

The extensive and successful use of social media has enhanced and empowered a variety of movements all over the world in a way that is hard to achieve through conventional means. This has led to numerous studies that leverage online social data to describe ...

EPFL2017

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