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Dr. Patrizia Grifoni
Consiglio Nazionale delle Ricerche - IRPPS Via Palestro, 32, 00185, Rome, Italy

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Research Keywords & Expertise

0 Ethics
0 Risk Management
0 Social Computing
0 Social Informatics
0 Spatial Data

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Multimodal Interaction
Internet of the Future
Social networks.
Risk Management
Social Computing
geographic information systems
Sketch-based interfaces
Web 2.0
Human–Machine Interaction

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Short Biography

Patrizia Grifoni is a senior researcher at the National Research Council of Italy. From 2009, she has led the research unit of Social Informatics and Technology Assessment of CNR, where she has worked since 1990. From 1994 to 1999, she was a contract professor of “Elaborazione digitale delle immagini” in the course for Cultural Heritage professionals with the University of Macerata. She received the degrees in Electronic Engineering at the University of Rome “La Sapienza”. She is the author of more than 250 papers in journal, books and conferences. She leads the research unit of the Social Informatics and Technology Assessment. She was the scientist responsible for CNR of many European and National projects. Her main research interests are in Social Informatics, Social Computing, E-learning, Responsible Research and Innovation Acceptance, Addiction, Digital Ecosystems, Ontologies, Machine Learning, Statistical Databases, Geographic Information Systems, Web Applications, Human–Computer Interactions, Visual Interfaces, Multimodal Interfaces, Social Media and Social Networks, Sketch-Based Interfaces, and Accessing Web Information.

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Journal article
Published: 12 April 2021 in Sustainability
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Sustainable bioeconomy and circular economy are more and more connected to sustainable development goals. This requires engaging all the different stakeholders to promote peaceful and inclusive societies for sustainable development. Therefore, information access is a key challenge related to all the sustainable development goals. This article considers ideas, approaches and concepts related to sharing knowledge on Bioeconomy and collaborative ecosystems based on an ontology, aiming to facilitate information and services access. This ontology has been defined starting from the experience of the BIOVOICES project and from the need to establish a common terminology shared among scientists, enterprises, policymakers and civil society organisations on the bioeconomy. Indeed, the ontology provides a structured information of the BIOVOICES multi-stakeholders social platform’s content, facilitating accessing and sharing it. The building process and the validation of the ontology have been described.

ACS Style

Chiara Bicchielli; Noemi Biancone; Fernando Ferri; Patrizia Grifoni. BiOnto: An Ontology for Sustainable Bioeconomy and Bioproducts. Sustainability 2021, 13, 4265 .

AMA Style

Chiara Bicchielli, Noemi Biancone, Fernando Ferri, Patrizia Grifoni. BiOnto: An Ontology for Sustainable Bioeconomy and Bioproducts. Sustainability. 2021; 13 (8):4265.

Chicago/Turabian Style

Chiara Bicchielli; Noemi Biancone; Fernando Ferri; Patrizia Grifoni. 2021. "BiOnto: An Ontology for Sustainable Bioeconomy and Bioproducts." Sustainability 13, no. 8: 4265.

Journal article
Published: 28 March 2021 in JUCS - Journal of Universal Computer Science
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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 of 93.3% for the Modal layer (handwriting layer) and 95.3% for the Multimodal layer.

ACS Style

Alessia D'Andrea; Maria Chiara Caschera; Fernando Ferri; Patrizia Grifoni. MuBeFE: Multimodal Behavioural Features Extraction Method. JUCS - Journal of Universal Computer Science 2021, 27, 254 -284.

AMA Style

Alessia D'Andrea, Maria Chiara Caschera, Fernando Ferri, Patrizia Grifoni. MuBeFE: Multimodal Behavioural Features Extraction Method. JUCS - Journal of Universal Computer Science. 2021; 27 (3):254-284.

Chicago/Turabian Style

Alessia D'Andrea; Maria Chiara Caschera; Fernando Ferri; Patrizia Grifoni. 2021. "MuBeFE: Multimodal Behavioural Features Extraction Method." JUCS - Journal of Universal Computer Science 27, no. 3: 254-284.

Journal article
Published: 24 February 2021 in IEEE Access
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Computational models can be considered human-designed computing models inspired by the processes observed in the natural world, which allow simulating and understanding these processes. Computational modelling is notably applied to simulate the behaviour and long-term dynamics of human Language. The research effort made so far in computational modelling of language evolution considers predominantly one modality by arguing for a unimodal origin of Language. This article extends this paradigm to a new perspective that integrates into its structure and learning algorithms principles from multimodal communication. This article gives an overview of the current language evolution models. It discusses the key challenges towards multimodal language evolution modelling by envisioning a conceptual framework to design the multimodal grounding and the language learning processes, as well as their realisation through a multi-agent multimodal referential game. This framework is valuable for many researchers working on language evolution to reveal the key questions they should address and integrate for pursuing a holistic vision that combines all modalities in a multimodal language evolution model.

ACS Style

Patrizia Grifoni; Arianna D'Ulizia; Fernando Ferri. When Language Evolution Meets Multimodality: Current Status and Challenges Toward Multimodal Computational Models. IEEE Access 2021, PP, 1 -1.

AMA Style

Patrizia Grifoni, Arianna D'Ulizia, Fernando Ferri. When Language Evolution Meets Multimodality: Current Status and Challenges Toward Multimodal Computational Models. IEEE Access. 2021; PP (99):1-1.

Chicago/Turabian Style

Patrizia Grifoni; Arianna D'Ulizia; Fernando Ferri. 2021. "When Language Evolution Meets Multimodality: Current Status and Challenges Toward Multimodal Computational Models." IEEE Access PP, no. 99: 1-1.

Journal article
Published: 14 February 2021 in Sustainability
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The paper aimed to analyse cyberbullying knowledge and awareness among students, teachers, and parents of 22 Italian primary schools to extract elements to consider for defining successful cyberbullying prevention and management strategies in coherence with some sustainable development goals defined in the 2030 Agenda. Four different research questions have been addressed to analyse: what the level of cyberbullying diffusion is, its triggering factors, its knowledge and awareness, and how the problem is addressed. The study highlighted both the importance of adopting a collaborative perspective among the students, teachers and parents, and to prevent and solve cyberbullying problems stimulating a collective awareness about cyber safety in schools. Some generalisable lessons emerged from the study.

ACS Style

Patrizia Grifoni; Alessia D’Andrea; Fernando Ferri; Tiziana Guzzo; Maurizio Felicioni; Andrea Vignoli. Against Cyberbullying Actions: An Italian Case Study. Sustainability 2021, 13, 2055 .

AMA Style

Patrizia Grifoni, Alessia D’Andrea, Fernando Ferri, Tiziana Guzzo, Maurizio Felicioni, Andrea Vignoli. Against Cyberbullying Actions: An Italian Case Study. Sustainability. 2021; 13 (4):2055.

Chicago/Turabian Style

Patrizia Grifoni; Alessia D’Andrea; Fernando Ferri; Tiziana Guzzo; Maurizio Felicioni; Andrea Vignoli. 2021. "Against Cyberbullying Actions: An Italian Case Study." Sustainability 13, no. 4: 2055.

Concept paper
Published: 13 November 2020 in Societies
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The aim of the study is to analyse the opportunities and challenges of emergency remote teaching based on experiences of the COVID-19 emergency. A qualitative research method was undertaken in two steps. In the first step, a thematic analysis of an online discussion forum with international experts from different sectors and countries was carried out. In the second step (an Italian case study), both the data and the statements of opinion leaders from secondary online sources, including web articles, statistical data and legislation, were analysed. The results reveal several technological, pedagogical and social challenges. The technological challenges are mainly related to the unreliability of Internet connections and many students’ lack of necessary electronic devices. The pedagogical challenges are principally associated with teachers’ and learners’ lack of digital skills, the lack of structured content versus the abundance of online resources, learners’ lack of interactivity and motivation and teachers’ lack of social and cognitive presence (the ability to construct meaning through sustained communication within a community of inquiry). The social challenges are mainly related to the lack of human interaction between teachers and students as well as among the latter, the lack of physical spaces at home to receive lessons and the lack of support of parents who are frequently working remotely in the same spaces. Based on the lessons learned from this worldwide emergency, challenges and proposals for action to face these same challenges, which should be and sometimes have been implemented, are provided.

ACS Style

Fernando Ferri; Patrizia Grifoni; Tiziana Guzzo. Online Learning and Emergency Remote Teaching: Opportunities and Challenges in Emergency Situations. Societies 2020, 10, 86 .

AMA Style

Fernando Ferri, Patrizia Grifoni, Tiziana Guzzo. Online Learning and Emergency Remote Teaching: Opportunities and Challenges in Emergency Situations. Societies. 2020; 10 (4):86.

Chicago/Turabian Style

Fernando Ferri; Patrizia Grifoni; Tiziana Guzzo. 2020. "Online Learning and Emergency Remote Teaching: Opportunities and Challenges in Emergency Situations." Societies 10, no. 4: 86.

Original paper
Published: 23 May 2020 in Evolving Systems
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The wide interest in ambiguities is because it represents uncertainty but also a fundamental item of discussion for who is interested in the interpretation of languages also considering that it is functional for communicative purposes. This paper addresses ambiguity issues in terms of identification of the meaningful features of multimodal ambiguities and it evaluates a dynamic HMM-based classification method that is able to classify ambiguities by learning, and progressively adapting the model to the evolution of the interaction, refining the existing classes, or identifying new ones. The comparative evaluation of the considered method of the considered method with other surveyed methods demonstrates an improvement considering the performance evaluation measures.

ACS Style

Patrizia Grifoni; Maria Chiara Caschera; Fernando Ferri. Evaluation of a dynamic classification method for multimodal ambiguities based on Hidden Markov Models. Evolving Systems 2020, 12, 377 -395.

AMA Style

Patrizia Grifoni, Maria Chiara Caschera, Fernando Ferri. Evaluation of a dynamic classification method for multimodal ambiguities based on Hidden Markov Models. Evolving Systems. 2020; 12 (2):377-395.

Chicago/Turabian Style

Patrizia Grifoni; Maria Chiara Caschera; Fernando Ferri. 2020. "Evaluation of a dynamic classification method for multimodal ambiguities based on Hidden Markov Models." Evolving Systems 12, no. 2: 377-395.

Journal article
Published: 01 January 2020 in International Journal of Computational Intelligence Systems
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ACS Style

Patrizia Grifoni; Maria Chiara Caschera; Fernando Ferri. DAMA: A Dynamic Classification of Multimodal Ambiguities. International Journal of Computational Intelligence Systems 2020, 13, 178 .

AMA Style

Patrizia Grifoni, Maria Chiara Caschera, Fernando Ferri. DAMA: A Dynamic Classification of Multimodal Ambiguities. International Journal of Computational Intelligence Systems. 2020; 13 (1):178.

Chicago/Turabian Style

Patrizia Grifoni; Maria Chiara Caschera; Fernando Ferri. 2020. "DAMA: A Dynamic Classification of Multimodal Ambiguities." International Journal of Computational Intelligence Systems 13, no. 1: 178.

Article
Published: 25 November 2019 in New Generation Computing
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Language is a complex evolving system and it is not a trivial task to model the dynamics of processes occurring during its evolution. Therefore, modeling language evolution has attracted the interest of several researchers giving rise to a lot of models in the literature of the last millennium. This work reviews the literature devoted to computationally represent the evolution of human language through formal models and provides an analysis of the bibliographic production and scientific impact of the surveyed language evolution models to give some conclusions about current trends and future perspectives of this research field. The survey provides also an overview of the strategies for validating and comparing the different language evolution models and how these techniques have been applied by the surveyed models.

ACS Style

Arianna D'Ulizia; Fernando Ferri; Patrizia Grifoni. A Survey on Modeling Language Evolution in the New Millennium. New Generation Computing 2019, 38, 97 -124.

AMA Style

Arianna D'Ulizia, Fernando Ferri, Patrizia Grifoni. A Survey on Modeling Language Evolution in the New Millennium. New Generation Computing. 2019; 38 (1):97-124.

Chicago/Turabian Style

Arianna D'Ulizia; Fernando Ferri; Patrizia Grifoni. 2019. "A Survey on Modeling Language Evolution in the New Millennium." New Generation Computing 38, no. 1: 97-124.

Article
Published: 17 June 2019 in Journal of Intelligent Information Systems
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Socialization is the essential building process of any society in natural ecosystems. Effective socialization processes have been investigated for both “biotic” (human) and “abiotic” (virtual) entities, also within digital ecosystems in the perspective of common and self-adaptive languages. In this paper, we propose an approach for socialization, language self-adaptation, and evolution that enables an effective communicative interaction among digital entities acting in a digital ecosystem. The proposed method relies on an adaptable and extensible grammatical formalism, named Digital Ecosystem Grammar (DEG). This grammar enables digital entities to interpret the messages sent by other entities by using interaction, learning and evolution actions. Moreover, a grammar learning algorithm is applied to provide the self-adaptation mechanisms that allow the digital environment to adapt the interaction language according to new messages. The approach was suitable to support the characteristics of self-adaptation, context-awareness, evolvability, and semanticity of a digital ecosystem language.

ACS Style

Fernando Ferri; Arianna D’Ulizia; Patrizia Grifoni. A grammar inference approach for language self-adaptation and evolution in digital ecosystems. Journal of Intelligent Information Systems 2019, 53, 409 -430.

AMA Style

Fernando Ferri, Arianna D’Ulizia, Patrizia Grifoni. A grammar inference approach for language self-adaptation and evolution in digital ecosystems. Journal of Intelligent Information Systems. 2019; 53 (3):409-430.

Chicago/Turabian Style

Fernando Ferri; Arianna D’Ulizia; Patrizia Grifoni. 2019. "A grammar inference approach for language self-adaptation and evolution in digital ecosystems." Journal of Intelligent Information Systems 53, no. 3: 409-430.

Journal article
Published: 31 August 2018 in International Journal of Learning, Teaching and Educational Research
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ACS Style

Fernando Ferri; Alessia D'Andrea; Patrizia Grifoni; Tiziana Guzzo. Distant Learning: Open Challenges and Evolution. International Journal of Learning, Teaching and Educational Research 2018, 17, 78 -88.

AMA Style

Fernando Ferri, Alessia D'Andrea, Patrizia Grifoni, Tiziana Guzzo. Distant Learning: Open Challenges and Evolution. International Journal of Learning, Teaching and Educational Research. 2018; 17 (8):78-88.

Chicago/Turabian Style

Fernando Ferri; Alessia D'Andrea; Patrizia Grifoni; Tiziana Guzzo. 2018. "Distant Learning: Open Challenges and Evolution." International Journal of Learning, Teaching and Educational Research 17, no. 8: 78-88.

Journal article
Published: 31 July 2018 in European Scientific Journal, ESJ
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Developing Europe means, first of all, creating a pervasive feeling of European citizenship, and creating a sense of belonging to a community in all countries of the European Union. This paper focuses on extracting Italian students’ socio-psychological dimension with respect to their perception and feelings regarding European citizenship, and their knowledge of the most relevant rights. The study involves Italian students aged between 18 and 25. A hybrid methodology has been adopted, combining: data extracted from a questionnaire; text from the photo-stories; images of the photo-stories and interviews. The results underline that young people have a sense of belonging to the European community, with the same rights and benefits. Moreover, there is the need to have the same feeling of European citizenship everywhere in Europe. The request for a stronger and more active citizens’ involvement also emerged from the study.

ACS Style

Tiziana Guzzo; Alessia D'andrea; Fernando Ferri; Patrizia Grifoni. European Citizenship, Identity and Rights: A Survey on Italian Young Students. European Scientific Journal, ESJ 2018, 14, 1 .

AMA Style

Tiziana Guzzo, Alessia D'andrea, Fernando Ferri, Patrizia Grifoni. European Citizenship, Identity and Rights: A Survey on Italian Young Students. European Scientific Journal, ESJ. 2018; 14 (20):1.

Chicago/Turabian Style

Tiziana Guzzo; Alessia D'andrea; Fernando Ferri; Patrizia Grifoni. 2018. "European Citizenship, Identity and Rights: A Survey on Italian Young Students." European Scientific Journal, ESJ 14, no. 20: 1.

Original paper
Published: 11 June 2018 in Evolving Systems
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This paper proposes a method for predicting dynamics and evolution of social networks (MONDE). The dynamics and the evolution are related to relationships and potentials for collaboration and knowledge sharing among members of a social network according to their topics of interests. MONDE combines a multi-layer Hidden Markov Model with a genetic algorithm for modeling and predicting behaviors of social groups at macro (i.e. network), meso (i.e. group) and micro (i.e. individual) levels. The evolution is forecasted by analyzing users according to different features and their participation in the different groups of interest. This model was tested using data from two communities, i.e. the Sha.p.e.s. community and Twitter users lists. The obtained results underline a good prediction performance in both the short-term dynamics and long-term evolution.

ACS Style

Maria Chiara Caschera; Arianna D’Ulizia; Fernando Ferri; Patrizia Grifoni. MONDE: a method for predicting social network dynamics and evolution. Evolving Systems 2018, 10, 363 -379.

AMA Style

Maria Chiara Caschera, Arianna D’Ulizia, Fernando Ferri, Patrizia Grifoni. MONDE: a method for predicting social network dynamics and evolution. Evolving Systems. 2018; 10 (3):363-379.

Chicago/Turabian Style

Maria Chiara Caschera; Arianna D’Ulizia; Fernando Ferri; Patrizia Grifoni. 2018. "MONDE: a method for predicting social network dynamics and evolution." Evolving Systems 10, no. 3: 363-379.

Conference paper
Published: 01 January 2018 in Proceedings of the 10th International Conference on Management of Digital EcoSystems
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ACS Style

Fernando Ferri; Patrizia Grifoni; Maria Chiara Caschera; Alessia D'Andrea; Arianna D'Ulizia; Tiziana Guzzo. The HMI digital ecosystem. Proceedings of the 10th International Conference on Management of Digital EcoSystems 2018, 157 -164.

AMA Style

Fernando Ferri, Patrizia Grifoni, Maria Chiara Caschera, Alessia D'Andrea, Arianna D'Ulizia, Tiziana Guzzo. The HMI digital ecosystem. Proceedings of the 10th International Conference on Management of Digital EcoSystems. 2018; ():157-164.

Chicago/Turabian Style

Fernando Ferri; Patrizia Grifoni; Maria Chiara Caschera; Alessia D'Andrea; Arianna D'Ulizia; Tiziana Guzzo. 2018. "The HMI digital ecosystem." Proceedings of the 10th International Conference on Management of Digital EcoSystems , no. : 157-164.

Conference paper
Published: 05 July 2017 in Advances in Intelligent Systems and Computing
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Smart cities applications are now very relevant in both the academic and industrial settings. Smart health processes are among the most significant cases of smart cities applications, where the goal is to determine effective and efficient decision-making processes in the context of healthcare management. One way to achieve this goal is just introducing novel sensor data fusion algorithms and techniques, as to take advantages from the mature area of sensor data management and processing. This article proposes a system based on sensors data to identify the most appropriate solution to be activated when a health problem arises. In particular, the proposed system allows identifying anomalies, their assessment and their management.

ACS Style

Alfredo Cuzzocrea; Fernando Ferri; Patrizia Grifoni. Intelligent Sensor Data Fusion for Supporting Advanced Smart Health Processes. Advances in Intelligent Systems and Computing 2017, 611, 361 -370.

AMA Style

Alfredo Cuzzocrea, Fernando Ferri, Patrizia Grifoni. Intelligent Sensor Data Fusion for Supporting Advanced Smart Health Processes. Advances in Intelligent Systems and Computing. 2017; 611 ():361-370.

Chicago/Turabian Style

Alfredo Cuzzocrea; Fernando Ferri; Patrizia Grifoni. 2017. "Intelligent Sensor Data Fusion for Supporting Advanced Smart Health Processes." Advances in Intelligent Systems and Computing 611, no. : 361-370.

Journal article
Published: 01 April 2017 in Pervasive and Mobile Computing
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ACS Style

Patrizia Grifoni; Fernando Ferri; Alessia D'Andrea; Tiziana Guzzo; Andrea Passarella. Special Issue on Pervasive Social Computing. Pervasive and Mobile Computing 2017, 36, 1 -2.

AMA Style

Patrizia Grifoni, Fernando Ferri, Alessia D'Andrea, Tiziana Guzzo, Andrea Passarella. Special Issue on Pervasive Social Computing. Pervasive and Mobile Computing. 2017; 36 ():1-2.

Chicago/Turabian Style

Patrizia Grifoni; Fernando Ferri; Alessia D'Andrea; Tiziana Guzzo; Andrea Passarella. 2017. "Special Issue on Pervasive Social Computing." Pervasive and Mobile Computing 36, no. : 1-2.

Guest editorial
Published: 22 February 2017 in Multimedia Tools and Applications
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ACS Style

Fernando Ferri; Patrizia Grifoni; Arianna D'Ulizia; Maria Chiara Caschera. Guest Editorial: Multimedia in Social Mobile Computing (MSMC). Multimedia Tools and Applications 2017, 76, 5313 -5316.

AMA Style

Fernando Ferri, Patrizia Grifoni, Arianna D'Ulizia, Maria Chiara Caschera. Guest Editorial: Multimedia in Social Mobile Computing (MSMC). Multimedia Tools and Applications. 2017; 76 (4):5313-5316.

Chicago/Turabian Style

Fernando Ferri; Patrizia Grifoni; Arianna D'Ulizia; Maria Chiara Caschera. 2017. "Guest Editorial: Multimedia in Social Mobile Computing (MSMC)." Multimedia Tools and Applications 76, no. 4: 5313-5316.

Conference paper
Published: 01 November 2016 in Proceedings of the 8th International Conference on Digital Arts
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The paper has the objective to define a fall detection methodology using the sensors available on smartphone. Furthermore, the paper proposes a platform that support the remote fall detection methodology modeling the emergency management by using a collaborative approach. The advantage of the proposed platform is that the fall detection doesn't need of a new specific hardware as the proposed solution is based on a device such as a smartphone already widely used by senior citizens. In past studies and proposed systems the results of sensors applied on skin or on cloths showed better results than sensors equipping the smartphone. To overcome the low performances of former approaches using the accelerometer and , in some cases, the gyroscope equipping the smartphone the proposed methodology use five sensors equipping the smartphone: accelerometer, gyroscope, proximity, microphone and GPS. The results obtained using the five sensors are comparable to those obtained with skin and wearable sensors, but with the advantage to avoid the use of dedicated hardware.

ACS Style

Noemi Biancone; Chiara Bicchielli; Fernando Ferri; Patrizia Grifoni. Falls detection and assessment. Proceedings of the 8th International Conference on Digital Arts 2016, 204 -207.

AMA Style

Noemi Biancone, Chiara Bicchielli, Fernando Ferri, Patrizia Grifoni. Falls detection and assessment. Proceedings of the 8th International Conference on Digital Arts. 2016; ():204-207.

Chicago/Turabian Style

Noemi Biancone; Chiara Bicchielli; Fernando Ferri; Patrizia Grifoni. 2016. "Falls detection and assessment." Proceedings of the 8th International Conference on Digital Arts , no. : 204-207.

Conference paper
Published: 01 November 2016 in Proceedings of the 8th International Conference on Digital Arts
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Socialization is an essential process for building any society in natural ecosystems. In recent years, effective socialization processes have been investigated also within digital ecosystems also in the perspective of common and self-adaptive languages that allowboth \"biotic\" (human) and \"abiotic\" (physical) entities to socialize. In this paper, we propose a socialization and language self-adaptation method for enabling effective communicative interaction amongdigital entities acting in a digital ecosystem. The proposed method relies on an adaptableand extensible grammatical formalism, named Digital Ecosystem Grammar (DEG), which allows digital entities, represented as a multi-agent system, to interpret the messages expressed by other entities by using interaction, learning and evolution actions.Moreover, a grammar learning algorithm is applied to provide the self-adaptation mechanisms that allow the digital environment to adapt the interaction languageaccording to new incoming messages.

ACS Style

Arianna D'Ulizia; Fernando Ferri; Patrizia Grifoni. Socialization and language self-adaptation in digital ecosystems. Proceedings of the 8th International Conference on Digital Arts 2016, 9 -16.

AMA Style

Arianna D'Ulizia, Fernando Ferri, Patrizia Grifoni. Socialization and language self-adaptation in digital ecosystems. Proceedings of the 8th International Conference on Digital Arts. 2016; ():9-16.

Chicago/Turabian Style

Arianna D'Ulizia; Fernando Ferri; Patrizia Grifoni. 2016. "Socialization and language self-adaptation in digital ecosystems." Proceedings of the 8th International Conference on Digital Arts , no. : 9-16.

Conference paper
Published: 01 November 2016 in Proceedings of the 8th International Conference on Management of Digital EcoSystems
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When social networks actors are involved in the production, consumption and exchange of content and information by texts, images, audios, videos, they act in a shared digital environment that can be considered as a digital ecosystem. On the increasing size of produced data, an open issue is the understanding of the real sentiment and emotion from texts, but also from images, audios and videos. This issue is particularly relevant for monitoring and identifying critical situations and suspicious behaviours. This paper is an attempt to review and evaluate the various techniques used for sentiment and emotion analysis from text, audio and video, and to discuss the main challenges addressed in extracting sentiment from multimodal data. The paper concludes the discussion by proposing a method that combines a machine learning approach with a language-based formalization in order to extract sentiment from multimodal data formalized through a multimodal language.

ACS Style

Maria Chiara Caschera; Fernando Ferri; Patrizia Grifoni. Sentiment analysis from textual to multimodal features in digital environments. Proceedings of the 8th International Conference on Management of Digital EcoSystems 2016, 137 -144.

AMA Style

Maria Chiara Caschera, Fernando Ferri, Patrizia Grifoni. Sentiment analysis from textual to multimodal features in digital environments. Proceedings of the 8th International Conference on Management of Digital EcoSystems. 2016; ():137-144.

Chicago/Turabian Style

Maria Chiara Caschera; Fernando Ferri; Patrizia Grifoni. 2016. "Sentiment analysis from textual to multimodal features in digital environments." Proceedings of the 8th International Conference on Management of Digital EcoSystems , no. : 137-144.

Conference paper
Published: 25 August 2016 in Computer Vision
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In this paper we show the results of our studies carried out in the framework of the European Project SciCafe2.0 in the area of Participatory Engagement models. We present a methodological approach built on participative engagements models and holistic framework for problem situation clarification and solution impacts assessment. Several online platforms for social engagement have been analysed to extract the main patterns of participative engagement. We present our own experiments through the SciCafe2.0 Platform and our insights from requirements elicitation.

ACS Style

Atta Badii; Franco Bagnoli; Balint Balazs; Tommaso Castellani; Davide D’Orazio; Fernando Ferri; Patrizia Grifoni; Giovanna Pacini; Ovidiu Serban; Adriana Valente. Collective Awareness Platforms and Digital Social Innovation Mediating Consensus Seeking in Problem Situations. Computer Vision 2016, 9934, 55 -65.

AMA Style

Atta Badii, Franco Bagnoli, Balint Balazs, Tommaso Castellani, Davide D’Orazio, Fernando Ferri, Patrizia Grifoni, Giovanna Pacini, Ovidiu Serban, Adriana Valente. Collective Awareness Platforms and Digital Social Innovation Mediating Consensus Seeking in Problem Situations. Computer Vision. 2016; 9934 ():55-65.

Chicago/Turabian Style

Atta Badii; Franco Bagnoli; Balint Balazs; Tommaso Castellani; Davide D’Orazio; Fernando Ferri; Patrizia Grifoni; Giovanna Pacini; Ovidiu Serban; Adriana Valente. 2016. "Collective Awareness Platforms and Digital Social Innovation Mediating Consensus Seeking in Problem Situations." Computer Vision 9934, no. : 55-65.