Person

Joan Isaac Biel Tres

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Related publications (19)

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Discovering Eating Routines in Context with a Smartphone App

Daniel Gatica-Perez, Joan Isaac Biel Tres

In everyday life, eating follows patterns and occurs in context. We present an approach to discover daily eating routines of a population following a multidimensional representation of eating episodes, using data collected with the Bites'n'Bits smartphone ...

ASSOC COMPUTING MACHINERY2019

What Your Face Vlogs About: Expressions of Emotion and Big-Five Traits Impressions in YouTube

Daniel Gatica-Perez, Joan Isaac Biel Tres

Social video sites where people share their opinions and feelings are increasing in popularity. The face is known to reveal important aspects of human psychological traits, so the understanding of how facial expressions relate to personal constructs is a r ...

2015

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We present a data-driven approach to discover different styles that people use to present themselves in online video blogging (vlogging). By vlogging style, we denote the combination of conscious and unconscious choices that the vlogger made during the pro ...

2014

Mining Crowdsourced First Impressions in Online Social Video

Daniel Gatica-Perez, Joan Isaac Biel Tres

While multimedia and social computing research have used crowdsourcing techniques to annotate objects, actions, and scenes in social video sites like YouTube, little work has ad- dressed the crowdsourcing of personal and social traits in online social vide ...

2014

The Workshop on Computational Personality Recognition aims to define the state-of-the-art in the field and to provide tools for future standard evaluations in personality recognition tasks. In the WCPR14 we released two different datasets: one of Youtube V ...

2014

Mining Conversational Social Video

Joan Isaac Biel Tres

The ubiquity of social media in our daily life, the intense user participation, and the explosion of multimedia content have generated an extraordinary interest from computer and social scientists to investigate the traces left by users to understand human ...

EPFL2013

Mining Conversational Social Video

Joan Isaac Biel Tres

The ubiquity of social media in our daily life, the intense user participation, and the explo- sion of multimedia content have generated an extraordinary interest from computer and social scientists to investigate the traces left by users to understand hum ...

EPFL2013

Despite an increasing interest in understanding human perception in social media through the automatic analysis of users' personality, existing attempts have explored user profiles and text blog data only. We approach the study of personality impressions i ...

Ieee-Inst Electrical Electronics Engineers Inc2013

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Despite the evidence that social video conveys rich human personality information, research investigating the automatic prediction of personality impressions in vlogging has shown that, amongst the Big-Five traits, automatic nonverbal be- havioral cues are ...

2013

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Conversational social video is becoming a worldwide trend. Video communication allows a more natural interaction, when aiming to share personal news, ideas, and opinions, by transmitting both verbal content and nonverbal behavior. However, the automatic an ...

ACM Press2013