Papers by Chiara Caschera
ArXiv, 2017
The Web is becoming more and more a wide software framework on which each one can compose and use... more The Web is becoming more and more a wide software framework on which each one can compose and use contents, software applications and services. It can offer adequate computational resources to manage the complexity implied by the use of the five senses when involved in human machine interaction. The core of the paper describes how SOA (Service Oriented Architecture) can support multimodal interaction by pushing the I/O processing and reasoning to the cloud, improving naturalness. The benefits of cloud computing for multimodal interaction have been identified by emphasizing the flexibility and scalability of a SOA, and its characteristics to provide a more holistic view of interaction according to the variety of situations and users.
Longitudinal coupled-bunch instabilities pose a major limitation to the intensity and quality of ... more Longitudinal coupled-bunch instabilities pose a major limitation to the intensity and quality of LHC-type beams in the CERN Proton Synchrotron (PS). The oscillations are excited above transition energy and mainly driven by the impedance of the main accelerating cavities at around 10 MHz. When approaching the flat-top these cavities are partly short-circuited. However, due to the sweeping revolution frequency, the spectral components of the beam move towards the resonances of the high frequency cavities at 20 MHz, 40 MHz and 80 MHz. Hence different coupled-bunch oscillation mode patterns are observed during acceleration and at the flat-top. A dedicated frequency domain damping system has been installed. While dipole coupled-bunch instabilities are well suppressed, quadrupole oscillations remain, as well as longitudinal blow-up due to the impedance of the high frequency cavities. Recent results obtained with the coupled-bunch feedback are presented together with first studies using alternative mitigation techniques for the instabilities.
J. Univers. Comput. Sci., 2021
The paper aims to provide a method to analyse and observe the characteristics that distinguish th... more The paper aims to provide a method to analyse and observe the characteristics that distinguish the individual communication style such as the voice intonation, the size and slant used in handwriting and the trait, pressure and dimension used for sketching. These features are referred to as Communication Extensional Features. Observing from the Communication Extensional Features, the user’s behavioural features, such as the communicative intention, the social style and personality traits can be extracted. These behavioural features are referred to as Communication Intentional Features. For the extraction of Communication Intentional Features, a method based on Hidden Markov Models is provided in the paper. The Communication Intentional Features have been extracted at the modal and multimodal level; this represents an important novelty provided by the paper. The accuracy of the method was tested both at modal and multimodal levels. The evaluation process results indicate an accuracy o...
This chapter provides a classification of virtual communities of practice according to methods an... more This chapter provides a classification of virtual communities of practice according to methods and tools offered to virtual community members for the knowledge management and the interaction process. It underlines how these methods and tools support users during the exchange of knowledge, enable learning, and increase the user ability to achieve individual and collective goals. In this chapter virtual communities are classified in virtual knowledge-sharing communities of practice and virtual learning communities of practice according to the collaboration strategy. A further classification defines three kinds of virtual communities according to the knowledge structure: ontology-based VCoP; digital library-based VCoP; and knowledge map-based VCoP. This chapter also describes strategies of interaction used to improve the knowledge sharing and learning in groups and organizations. It shows how agent-based method supports interaction among community members, improves the achievement of knowledge, and encourages the level of user participation. Finally, this chapter presents the system's functionalities that support browsing and searching processes in collaborative knowledge environments.
The MARINA Project: Promoting Responsible Research and Innovation to Meet Marine Challenges
Governance and Sustainability of Responsible Research and Innovation Processes
The MARINA project was funded by the European Union’s Horizon 2020 Research and Innovation Progra... more The MARINA project was funded by the European Union’s Horizon 2020 Research and Innovation Programme with the aim to create an all-inclusive Knowledge Sharing Platform for catalysing and federating the convergence of already existing networks, communities, online platforms and services by addressing marine research issues and topics according to Responsible Research and Innovation (RRI) principles. Several marine research issues and topics have been discussed in the 17 Mobilisation and Mutual Learning work-shops during the first year of the project. This paper shows the results of the first series of workshops analysed according to RRI principles and societal and marine challenges.
Definitions and Formalizations, 2008
This chapter introduces and discusses the classification of methods to resolve ambiguities that a... more This chapter introduces and discusses the classification of methods to resolve ambiguities that arise during the communication process using visual languages. Ambiguities arise when the user gives his or her own semantics to the information. Sometimes his or her actions do not represent his or her intentions, producing an ambiguous or incorrect interpretation by the system. This chapter deals with ambiguities related to the system's interpretation function and methods to resolve them, which can be grouped in three main classes: prevention, a-posteriori resolution, and approximation resolution methods of ambiguities. This chapter distinguishes among different prevention methods: the procedural method, the reduction, and the improvement of the expressive power of the visual languages. The most used method for the a-posteriori resolution of ambiguities is mediation, which consists of repetition and choice. Finally, approximation resolution methods are presented to resolve ambiguities caused by imprecision of the user's interaction.
This paper deals with classifying ambiguities for Multimodal Languages. It evolves the classifica... more This paper deals with classifying ambiguities for Multimodal Languages. It evolves the classifications and the methods of the literature on ambiguities for Natural Language and Visual Language, empirically defining an original classification of ambiguities for multimodal interaction using a linguistic perspective. This classification distinguishes between Semantic and Syntactic multimodal ambiguities and their subclasses, which are intercepted using a rule-based method implemented in a software module. The experimental results have achieved an accuracy of the obtained classification compared to the expected one, which are defined by the human judgment, of 94.6% for the semantic ambiguities classes, and 92.1% for the syntactic ambiguities classes.
Sentiment analysis from textual to multimodal features in digital environments
Proceedings of the 8th International Conference on Management of Digital EcoSystems
Evaluation of a dynamic classification method for multimodal ambiguities based on Hidden Markov Models
Evolving Systems
MONDE: a method for predicting social network dynamics and evolution
Evolving Systems
Multimedia Tools and Applications, 2017
Multimodal interaction systems: information and time features
International Journal of Web and Grid Services, 2007
Multimodal Systems: An Excursus of the Main Research Questions
Lecture Notes in Computer Science, 2015
KRC: KnowInG crowdsourcing platform supporting creativity and innovation
ABSTRACT The deep financial and economic crisis, which still characterizes these years, requires ... more ABSTRACT The deep financial and economic crisis, which still characterizes these years, requires searching for tools in order to enhance knowledge sharing, creativity and innovation. The Internet is one of these tools that represents a practically infinite source of resources. In this perspective, the KnowInG project, funded by the STC programme MED, is aimed at developing the KnowInG Resource Centre (KRC), a sociotechnical system that works as a multiplier of innovation. KRC was conceived as a crowdsourcing platform allowing people, universities, research centres, organizations and companies to be active actors of creative and innovation processes from a local to a transnational level.
An Ecosystemic Environment for Knowledge and Services Sharing on Creative Enterprises
Proceedings of the 6th International Conference on Management of Emergent Digital EcoSystems - MEDES '14, 2014
An Italian Multimodal Corpus: The Building Process
Lecture Notes in Computer Science, 2014
ABSTRACT During the design of multimodal interaction environments, the use of a corpus of multimo... more ABSTRACT During the design of multimodal interaction environments, the use of a corpus of multimodal sentences is very important in order to achieve various tasks of multimodal interaction. In last decade, several researchers addressed the creation of multimodal corpora for English, French, and various other languages. However, from the analysis of these multimodal corpora, there clearly is a lack of multimodal corpora for Italian. This paper describes the building process of an Italian multimodal corpus. Starting from the manual analysis of multimedia dialogues, this process extracts different multimodal data, i.e. speech and gestures, which are used to generate grammar rules and to train the multimodal interpreter in order to set the framework for the multimodal corpus building. Following that, the set framework is used to annotate semi-automatically multimodal information, such as syntactic roles and semantics, on new dialogues to be included in the corpus.
Concepts, Methodologies, Tools and Applications, 2012
Interaction among members in Virtual Learning Communities influences the communities' evolution. ... more Interaction among members in Virtual Learning Communities influences the communities' evolution. Starting from this consideration, this chapter provides a discussion on the more widely used software systems that support interaction between virtual communities' members and virtual learning environment underlining the advantages and the disadvantages considering the several processes that characterize the VLCs. Moreover in education environments interactions are important in order to facilitate the learning process, and this chapter describes how the intelligent agent approaches can bean interesting alternative to a human facilitator. The analysis of intelligent agents describes how they allow both analysing interaction and improving the level of participation of members of a Virtual Learning Community.
Journal of Next Generation Information Technology, 2013
This paper deals with classifying ambiguities for Multimodal Languages. It evolves the classifica... more This paper deals with classifying ambiguities for Multimodal Languages. It evolves the classifications and the methods of the literature on ambiguities for Natural Language and Visual Language, empirically defining an original classification of ambiguities for multimodal interaction using a linguistic perspective. This classification distinguishes between Semantic and Syntactic multimodal ambiguities and their subclasses, which are intercepted using a rule-based method implemented in a software module. The experimental results have achieved an accuracy of the obtained classification compared to the expected one, which are defined by the human judgment, of 94.6% for the semantic ambiguities classes, and 92.1% for the syntactic ambiguities classes.
Naturalness and flexibility of the dialogue between users and multimodal systems can produce more... more Naturalness and flexibility of the dialogue between users and multimodal systems can produce more than one interpretation and consequently ambiguities. This chapter deals the problem to correctly recognize user input for enabling a natural interaction. In particular, it analyses approaches that have to cope with issues connected to the interpretation process, dividing them into recognition-based, decision-based, and hybrid multilevel fusion strategies, and providing descriptions of some example of these methods. Moreover, this chapter provides classifications of ambiguities classifying them at a more general level in recognition, segmentation, and target ambiguities, and dividing them in a more detailed way in lexical, syntactical, and pragmatic ambiguities. Considering these classifications, this chapter analyses how interpretation methods support the correct recognition of ambiguities. Finally, this chapter presents methods applied after the interpretation process and that integrate it for solving different class of ambiguities using the dialogue between the user and the system.
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Papers by Chiara Caschera