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Zancanaro M.,FBK
Cognitive Technologies | Year: 2012

Co-located, collaborative work around shared surfaces has become a major topic of the research agenda in the fields of teamwork and collaborative learning. In this chapter, we introduce the difference between multi-touch and multi-user interfaces and we present three cases of co-located interactions on shared interfaces. The first two cases present examples of multi-user applications: StoryTable is a multi-user application for children to practise their narration skills in a collaborative way; the NNRT table is a multi-user application to foster a shift in the attitudes of participants via a narration task (it is used in peace-education programs). Finally, we describe a new approach to shared interfaces explicitly aimed at influencing immediate behavior in an informal, non goal-oriented co-located small group. © 2012 Springer-Verlag Berlin Heidelberg.


Gretter R.,FBK
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH | Year: 2014

In this paper we present the first recognition experiments on a multilingual speech corpus, designed for Automatic Speech Recognition (ASR) and Language IDentification (LID) purposes. Data come from the portal Euronews and were acquired both from the Web and from TV. The corpus includes data in 10 languages (Arabic, English, French, German, Italian, Polish, Portuguese, Russian, Spanish and Turkish). For each language, the corpus is composed of about 100 hours of speech for training (60 for Polish) and about 4 hours, manually transcribed, for testing. Training data include the audio, some reference text, the ASR output and their alignment. 10 baselines were prepared - one for each language - using only the training data, and performance are evaluated on a subset of the test data. Also a LID system was implemented, capable to recognize words belonging to different languages in a continuous stream. Part of the corpus is freely available, for research purposes only, within the multilingual ASR benchmark for IWSLT 2014. Copyright © 2014 ISCA.


Petrelli D.,Sheffield Hallam University | Ciolfi L.,Sheffield Hallam University | Van Dijk D.,WAAG Society | Hornecker E.,University of Strathclyde | And 2 more authors.
Interactions | Year: 2013

A digital copy of a Le Corbusier drawing supports analysis to a greater level of detail than its paper counterpart, but the feeling of being in the archive, the emotion of touching the same paper as the master, and the smell of dust and years past are what makes the experience unique and unforgettable. The information over object approach has influenced the use of digital technology in cultural heritage ever since computers started to populate the exhibit floor. The intent has been to provide indepth information and to support different learning styles. There is an opportunity for interaction design to take advantage of the visitors' physical experience with cultural heritage and to integrate technology into it instead of creating a parallel and detached digital experience. This needs the right sensibility and is not without challenges.


Arts T.,QuviQ | Tonetta S.,FBK
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

The AUTOSAR End-to-End library is used to protect data. On the producer side a counter and checksum are added, such that on the consumer side it can be detected whether there was a communication failure. For optimal bus utilisation, it is a common solution that a producer publishes data that is read by many consumers. If the data also needs to be protected, this results in an End-to-Many-Ends solution. In this paper, we analyse the impact of an End-to-Many-Ends solution on the safety guarantees of the AUTOSAR End-to-End Protection. In particular with focus on the problem that arises when the consumers read the messages with a periodicity that differs from the producer. It turns out that this common situation severely reduces the safety guarantees these standard components offer. In this report we analyze these reductions on different architectures. © Springer International Publishing Switzerland 2015.


Dong W.,Massachusetts Institute of Technology | Dong W.,Northeastern University | Lepri B.,Massachusetts Institute of Technology | Pianesi F.,FBK | Pentland A.,Massachusetts Institute of Technology
IEEE Transactions on Multimedia | Year: 2013

The paper addresses the automatic recognition of social and task-oriented functional roles in small-group meetings, focusing on several properties: a) the importance of non-linguistic behaviors, b) the relative time-consistency of the social roles played by a given person during the course of a meeting, and c) the interplays and mutual constraints among the roles enacted by the different participants in a social encounter. In particular, this paper proposes that the Influence Model framework can address these properties of functional roles, and compares the performance obtained by this framework to the performances of models that consider only property (a) (SVM), and to those that address both (a) and (b) (HMM). The results obtained confirm our expectations: the classification of social functional roles improves if models account for temporal dependencies among the roles played by the same subject, for the time properties of the roles played by each individual, and for the mutual constraints among the roles of different group members. The two versions of the Influence Model (IM and newIM), which encode all three properties together, outperform both the SVM and the HMM on most of the figures of merit used. Of particular interest is the capability of the Influence Model to obtain good or very good results on the less-populated classesOrienteer and Seeker for the task area, and Attacker and Supporter for the socio-emotional area. © 1999-2012 IEEE.

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