Papers by Alessandro Vinciarelli
lorisbazzani.info
This paper proposes a study corroborated by preliminary experiments on the inference of social re... more This paper proposes a study corroborated by preliminary experiments on the inference of social relations based on the analysis of interpersonal distances, measured with onobtrusive computer vision techniques. The experiments have been performed over 13 individuals involved in casual standing conversations and the results show that people tend to get closer when their relation is more intimate. In other words, social and physical distances tend to match one another. In this respect, the results match the findings of proxemics, the discipline studying the social and affective meaning of space use and organization in social gatherings. The match between results and expectations of proxemics is observed also when changing one of the most important contextual factors in this type of scenarios, namely the amount of space available to the interactants.
dcs.gla.ac.uk
This paper presents experiments where natural and spontaneous cognitive processes, in particular ... more This paper presents experiments where natural and spontaneous cognitive processes, in particular those who lead to the attribution of personality traits to unacquainted people, are used as a natural form of feature extraction. In particular, personality assessments provided by human judges are used as features to distinguish between professional and non-professional speakers. The same task is performed with prosodic features extracted with a fully automatic process for comparison purposes. Furthermore both prosodic features and personality assessments are combined. The results show that the discrimination between professional and non-professional speaking styles can be performed with an accuracy of 87.2% when using prosodic features, of 75.5% when using personality assessments, and of 90.0% when using the combination of the two.
Computer Analysis of Human Behavior, Jan 1, 2011
Proc. of Workshop on …, Jan 1, 2011
This paper proposes an approach for Voice Activity Detection (VAD) based on the automatic measure... more This paper proposes an approach for Voice Activity Detection (VAD) based on the automatic measurement of gesturing. The main motivation of the work is that gestures have been shown to be tightly correlated with speech, hence they can be considered a reliable evidence that a person is talking. The use of gestures rather than speech for performing VAD can be helpful in many situation (e.g., surveillance and monitoring in public spaces) where speech cannot be obtained for technical, legal or ethical issues. The results show that the gesturing measurement approach proposed in this work achieves, on a frame-by-frame basis, an accuracy of 71 percent in distinguishing between speech and non-speech.
IEEE Int. Conf. on Systems, Man, …, Jan 1, 2011
Social signal processing has the ambitious goal of bridging the social intelligence gap between c... more Social signal processing has the ambitious goal of bridging the social intelligence gap between computers and humans. Nowadays, computers are not only the new interaction partners of humans, but also a privileged interaction medium for social exchange between humans. Consequently, enhancing machine abilities to interpret and reproduce social signals is a crucial requirement for improving computer-mediated communication and interaction. Furthermore, automated analysis of such signals creates a host of new applications and improvements to existing applications. The study of social signals benefits a wide range of domains, including human-computer interaction, interaction design, entertainment technology, ambient intelligence, healthcare, and psychology. This paper briefly introduces the field and surveys its latest developments.
Human Behavior …, Jan 1, 2010
Recent advances in pattern recognition has allowed computer scientists and psychologists to joint... more Recent advances in pattern recognition has allowed computer scientists and psychologists to jointly address automatic analysis of of human behavior via computers. The Workshop on Human Behavior Understanding at the International Conference on Pattern Recognition explores a number of different aspects and open questions in this field, and demonstrates the multi-disciplinary nature of this research area. In this brief summary, we give an overview of the Workshop and discuss the main research challenges 4 .
Signal Processing Magazine, IEEE, Jan 1, 2010
Affective Computing and Interaction: …, Jan 1, 2011
Nonverbal communication is the main channel through which we experience inner life of others, inc... more Nonverbal communication is the main channel through which we experience inner life of others, including their emotions, feelings, moods, social attitudes, etc. This attracts the interest of the computing community because nonverbal communication is based on cues like facial expressions, vocalizations, gestures, postures, etc. that we can perceive with our senses and can be (and often are) detected, analyzed and synthesized with automatic approaches. In other words, nonverbal communication can be used as a viable interface between computers and some of the most important aspects of human psychology such as emotions and social attitudes. As a result, a new computing domain seems to emerge that we can define "technology of nonverbal communication". This chapter outlines some of the most salient aspects of such a potentially new domain and outlines some of its most important perspectives for the future.
Affective Computing …, Jan 1, 2011
Social Signal Processing is the research domain aimed at bridging the social intelligence gap bet... more Social Signal Processing is the research domain aimed at bridging the social intelligence gap between humans and machines. This article is the first survey of the domain that jointly considers its three major aspects, namely modeling, analysis and synthesis of social behaviour. Modeling investigates laws and principles underlying social interaction, analysis explores approaches for automatic understanding of social exchanges recorded with different sensors, and synthesis studies techniques for the generation of social behaviour via various forms of embodiment. For each of the above aspects, the paper includes an extensive survey of the literature, points to the most important publicly available resources, and outlines the most fundamental challenges ahead.
Multimedia and Expo, 2007 …, Jan 1, 2007
Proceedings of the 2nd …, Jan 1, 2010
This paper reports preliminary experiments on automatic attribution of personality traits based o... more This paper reports preliminary experiments on automatic attribution of personality traits based on nonverbal vocal behavioral cues. In particular, the work shows how prosodic features can be used to predict, with an accuracy up to 75% depending on the trait, the personality assessments performed by human judges on a collection of 640 speech samples. The assessments are based on a short version of the Big Five Inventory, one of the most widely used questionnaires for personality assessment. The judges did not understand the language spoken in the speech samples so that the influence of the verbal content is limited. To the best of our knowledge, this is the first work aimed at inferring automatically traits attributed by judges rather than traits self-reported by subjects.
… and Workshops, 2009. …, Jan 1, 2009
Automatic analysis of social interactions attracts major attention in the computing community, bu... more Automatic analysis of social interactions attracts major attention in the computing community, but relatively few benchmarks are available to researchers active in the domain. This paper presents a new, publicly available, corpus of political debates including not only raw data, but a rich set of socially relevant annotations such as turn-taking (who speaks when and how much), agreement and disagreement between participants, and role played by people involved in each debate. The collection includes 70 debates for a total of 43 hours and 10 minutes of material.
Proc. of the 7th Int'l Conf. …, Jan 1, 2003
Pattern recognition, Jan 1, 2002
Pattern Analysis and Machine …, Jan 1, 2002
Image and Vision Computing, Jan 1, 2009
… of the 7th International Workshop on …, Jan 1, 2000
Pattern Recognition Letters, Jan 1, 2001
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Papers by Alessandro Vinciarelli
Surveys current work in social signal processing and affective computing towards the prediction of conflict outcomes
Approaches conflict and negotiation from several perspectives, including those of cognitive sciences, social psychology, evolution, and ethology
This book explores the use of technology to detect, predict and understand social cues, in order to analyze and prevent conflict. Traditional human sciences approaches are enriched with the latest developments in Social Signal Processing aimed at an automatic understanding of conflict and negotiation. Communication—both verbal and non-verbal, within the context of a conflict—is studied with the aim of promoting the use of intelligent machines that automatically measure and understand the escalation of conflict, and are able to manage it, in order to support the negotiation process. Particular attention is paid to the integration of human sciences findings with computational approaches, from the application of correct methodologies for the collection of valid data to the development of computational approaches inspired by research on verbal and multimodal communication.
In the words of the trade unionist Pierre Carniti, "We should reevaluate conflict, since without conflict there is no social justice."
With this in mind, this volume does not approach conflict simply as an obstacle to be overcome, but as a concept to be fully analyzed. The philosophical, linguistic and psychological aspects of conflict, once understood, can be used to promote conflict management as a means for change and social justice.
Conflict and Multimodal Communication Social Research and Machine Intelligence.