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Displaying 1-20 out of 20 total
Connecting Meeting Behavior with Extraversion—A Systematic Study
Found in: IEEE Transactions on Affective Computing
By Bruno Lepri,Ramanathan Subramanian,Kyriaki Kalimeri,Jacopo Staiano,Fabio Pianesi,Nicu Sebe
Issue Date:September 2012
pp. 443-455
This work investigates the suitability of medium-grained meeting behaviors, namely, speaking time and social attention, for automatic classification of the Extraversion personality trait. Experimental results confirm that these behaviors are indeed effecti...
 
Happiness Recognition from Mobile Phone Data
Found in: 2013 International Conference on Social Computing (SocialCom)
By Andrey Bogomolov,Bruno Lepri,Fabio Pianesi
Issue Date:September 2013
pp. 790-795
In this paper we provide the first evidence that daily happiness of individuals can be automatically recognized using an extensive set of indicators obtained from the mobile phone usage data (call log, sms and Bluetooth proximity data) and ``background noi...
 
Understanding and Changing Behavior [Guest editors' introduction]
Found in: IEEE Pervasive Computing
By Albert Ali Salah,Bruno Lepri,Alex Sandy Pentland,John Canny
Issue Date:July 2013
pp. 18-20
The goal of this special issue is to contribute to the advancement of ubiquitous information societies, where computers and humans are part of the same ecosystem. One crucial property of entities living in the same ecosystem is that they mutually influence...
 
Predicting Spending Behavior Using Socio-mobile Features
Found in: 2013 International Conference on Social Computing (SocialCom)
By Vivek K. Singh,Laura Freeman,Bruno Lepri,Alex Sandy Pentland
Issue Date:September 2013
pp. 174-179
Human spending behavior is essentially social. This work motivates and grounds the use of mobile phone based social interaction features for classifying spending behavior. Using a data set involving 52 adults (26 couples) living in a community for over a y...
 
Ego-centric Graphlets for Personality and Affective States Recognition
Found in: 2013 International Conference on Social Computing (SocialCom)
By Stefano Teso,Jacopo Staiano,Bruno Lepri,Andrea Passerini,Fabio Pianesi
Issue Date:September 2013
pp. 874-877
Do we tend to perceive ourselves more creative when surrounded by creative people? Or rather the opposite holds? Such information is very valuable to understand how to optimize work processes and boost people's productivity along with their happiness and s...
 
Inferring social activities with mobile sensor networks
Found in: Proceedings of the 15th ACM on International conference on multimodal interaction (ICMI '13)
By Daniel Gatica-Perez, Bruno Lepri, Fabio Pianesi, Kyriaki Kalimeri, Trinh Minh Tri Do
Issue Date:December 2013
pp. 405-412
While our daily activities usually involve interactions with others, the current methods on activity recognition do not often exploit the relationship between social interactions and human activity. This paper addresses the problem of interpreting social a...
     
Going beyond traits: multimodal classification of personality states in the wild
Found in: Proceedings of the 15th ACM on International conference on multimodal interaction (ICMI '13)
By Bruno Lepri, Kyriaki Kalimeri, Fabio Pianesi
Issue Date:December 2013
pp. 27-34
Recent studies in social and personality psychology introduced the notion of personality states conceived as concrete behaviors that can be described as having the same contents as traits. Our paper is a first step towards addressing automatically this new...
     
Multimodal recognition of personality traits in human-computer collaborative tasks
Found in: Proceedings of the 14th ACM international conference on Multimodal interaction (ICMI '12)
By Bruno Lepri, Fabio Pianesi, Ligia Batrinca, Nadia Mana
Issue Date:October 2012
pp. 39-46
The user's personality in Human-Computer Interaction (HCI) plays an important role for the overall success of the interaction. The present study focuses on automatically recognizing the Big Five personality traits from 2-5 min long videos, in which the com...
     
Modeling dominance effects on nonverbal behaviors using granger causality
Found in: Proceedings of the 14th ACM international conference on Multimodal interaction (ICMI '12)
By Bruno Lepri, Daniel Gatica-Perez, Dinesh Babu Jayagopi, Fabio Pianesi, Kyriaki Kalimeri, Oya Aran
Issue Date:October 2012
pp. 23-26
In this paper we modeled the effects that dominant people might induce on the nonverbal behavior (speech energy and body motion) of the other meeting participants using Granger causality technique. Our initial hypothesis that more dominant people have gene...
     
Friends don't lie: inferring personality traits from social network structure
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Alex Pentland, Bruno Lepri, Fabio Pianesi, Jacopo Staiano, Nadav Aharony, Nicu Sebe
Issue Date:September 2012
pp. 321-330
In this work, we investigate the relationships between social network structure and personality; we assess the performances of different subsets of structural network features, and in particular those concerned with ego-networks, in predicting the Big-5 pe...
     
Modeling the co-evolution of behaviors and social relationships using mobile phone data
Found in: Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia (MUM '11)
By Wen Dong, Alex (Sandy) Pentland, Bruno Lepri
Issue Date:December 2011
pp. 134-143
The co-evolution of social relationships and individual behavior in time and space has important implications, but is poorly understood because of the difficulty closely tracking the everyday life of a complete community. We offer evidence that relationshi...
     
Multimodal recognition of personality during short self-presentations
Found in: Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding (J-HGBU '11)
By Bruno Lepri, Fabio Pianesi, Ligia Batrinca
Issue Date:December 2011
pp. 27-28
Personality plays an important role in the way people manage the images they convey in self-presentations and employment interviews, trying to affect the other's first impressions and increase effectiveness. This paper addresses the automatically detection...
     
Automatic modeling of personality states in small group interactions
Found in: Proceedings of the 19th ACM international conference on Multimedia (MM '11)
By Bruno Lepri, Fabio Pianesi, Jacopo Staiano, Nicu Sebe, Ramanathan Subramanian
Issue Date:November 2011
pp. 989-992
In this paper, we target the automatic recognition of personality states in a meeting scenario employing visual and acoustic features. The social psychology literature has coined the name personality state to refer to a specific behavioral episode wherein ...
     
Please, tell me about yourself: automatic personality assessment using short self-presentations
Found in: Proceedings of the 13th international conference on multimodal interfaces (ICMI '11)
By Bruno Lepri, Fabio Pianesi, Ligia Maria Batrinca, Nadia Mana, Nicu Sebe
Issue Date:November 2011
pp. 255-262
Personality plays an important role in the way people manage the images they convey in self-presentations and employment interviews, trying to affect the other"s first impressions and increase effectiveness. This paper addresses the automatically detection...
     
Employing social gaze and speaking activity for automatic determination of the Extraversion trait
Found in: International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction (ICMI-MLMI '10)
By Bruno Lepri, Fabio Pianesi, Jacopo Staiano, Kyriaki Kalimeri, Nicu Sebe, Ramanathan Subramanian
Issue Date:November 2010
pp. 1-8
In order to predict the Extraversion personality trait, we exploit medium-grained behaviors enacted in group meetings, namely, speaking time and social attention (social gaze). The latter will be further distinguished in to attention given to the group mem...
     
Causal-modelling of personality traits: extraversion and locus of control
Found in: Proceedings of the 2nd international workshop on Social signal processing (SSPW '10)
By Bruno Lepri, Fabio Pianesi, Kyriaki Kalimeri
Issue Date:October 2010
pp. 41-46
This work contributes to the task of automatically analyzing people's personality during social interaction by using acoustic and visual features. We focus on two personality traits: Extraversion, one of the Big Five dimensions, and the Locus of Control an...
     
Space speaks: towards socially and personality aware visual surveillance
Found in: Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis (MPVA '10)
By Bruno Lepri, Elisa Ricci, Gloria Zen, Oswald Lanz
Issue Date:October 2010
pp. 37-42
There is a complex unwritten code which regulates human interactions. In this paper we present a camera based monitoring system that explores the relationship between proxemics, visual attention and personality traits during interaction. People's relative ...
     
Automatic prediction of individual performance from "thin slices" of social behavior
Found in: Proceedings of the seventeen ACM international conference on Multimedia (MM '09)
By Alessandro Cappelletti, Bruno Lepri, Fabio Pianesi, Nadia Mana
Issue Date:October 2009
pp. 733-736
This paper targets the automatic detection of individual performances in group tasks by means of short sequences, "thin slices", of nonverbal behavior. We designed our task as a classification one. We also investigated the relevance of social context in ou...
     
Multimodal recognition of personality traits in social interactions
Found in: Proceedings of the 10th international conference on Multimodal interfaces (IMCI '08)
By Alessandro Cappelletti, Bruno Lepri, Fabio Pianesi, Massimo Zancanaro, Nadia Mana
Issue Date:October 2008
pp. 203-204
This paper targets the automatic detection of personality traits in a meeting environment by means of audio and visual features; information about the relational context is captured by means of acoustic features designed to that purpose. Two personality tr...
     
Automatic detection of group functional roles in face to face interactions
Found in: Proceedings of the 8th international conference on Multimodal interfaces (ICMI '06)
By Bruno Lepri, Fabio Pianesi, Massimo Zancanaro
Issue Date:November 2006
pp. 28-34
In this paper, we discuss a machine learning approach to automatically detect functional roles played by participants in a face to face interaction. We shortly introduce the coding scheme we used to classify the roles of the group members and the corpus we...
     
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