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Approaches to learning, metacognition and personality; an exploratory and confirmatory factor analysis

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Publications associées (38)

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Linearization and Identification of Multiple-Attractor Dynamical Systems through Laplacian Eigenmaps

Aude Billard, Bernardo Fichera

Dynamical Systems (DS) are fundamental to the modeling and understanding time evolving phenomena, and have application in physics, biology and control. As determining an analytical description of the dynamics is often difficult, data-driven approaches are ...

Microtome Publishing2022

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

Bahar Radmehr, Tanja Christina Käser Jacober, Mirko Marras, Vinitra Swamy

Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainability of their decisions, especially relevant in human-centric fields. We im ...

2022

A Survey on Perceived Speaker Traits: Personality, Likability, Pathology and the First Challenge

Alessandro Vinciarelli, Gelareh Mohammadi

The INTERSPEECH 2012 Speaker Trait Challenge aimed at a unified test-bed for perceived speaker traits – the first challenge of this kind: personality in the five OCEAN personality dimensions, likability of speakers, and intelligibility of pathologic speake ...

Elsevier2015

Mitochondrial function in the brain links anxiety with social subordination

Maria del Carmen Sandi Perez, Carlos Canto Alvarez, Olivia Zanoletti, Fiona Hollis, Laura Lozano Montes

Dominance hierarchies are integral aspects of social groups, yet whether personality traits may predispose individuals to a particular rank remains unclear. Here we show that trait anxiety directly influences social dominance in male outbred rats and ident ...

National Academy of Sciences2015

The impact of anxiety and reward-seeking traits on social competition and the role of the mesolimbic dopaminergic system

Laura Lozano Montes

Social hierarchies are established across a range of different taxa in the animal kingdom. Given that hierarchy inequalities are highly present in nowadays society and the health problems that low rank individuals suffer from this, it is surprising that no ...

EPFL2015

A Survey of Personality Computing

Alessandro Vinciarelli, Gelareh Mohammadi

Personality is a psychological construct aimed at explaining the wide variety of human behaviors in terms of a few, stable and measurable individual characteristics. In this respect, any technology involving understanding, prediction and synthesis of human ...

2014

The impact of personality in using technology to ask and offer help: the experience of the Chatbot "UC - Paraguay"

Daniel Gatica-Perez

In the context of the project "WeNet: Internet of us" we are studying the role of diversity in relation to Internet-mediated social interactions. In this paper, in particular, we analyze a possible relationship between personality aspects and social intera ...

IEEE2021

Discrete-Choice Mining of Social Processes

Victor Kristof

Poor decisions and selfish behaviors give rise to seemingly intractable global problems, such as the lack of transparency in democratic processes, the spread of conspiracy theories, and the rise in greenhouse gas emissions. However, people are more predict ...

EPFL2021

Geometric compression of invariant manifolds in neural networks

Matthieu Wyart, Mario Geiger, Leonardo Petrini, Jonas Paccolat

We study how neural networks compress uninformative input space in models where data lie in d dimensions, but the labels of which only vary within a linear manifold of dimension d(parallel to) < d. We show that for a one-hidden-layer network initialized wi ...

IOP PUBLISHING LTD2021

Self-Taught Semi-Supervised Anomaly Detection On Upper Limb X-Rays

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Antoine Jérôme Spahr

Detecting anomalies in musculoskeletal radiographs is of paramount importance for large-scale screening in the radiology workflow. Supervised deep networks take for granted a large number of annotations by radiologists, which is often prohibitively very ti ...

IEEE2021

Automatic Personality Perception : Inferring Personality Traits from Nonverbal Vocal Behavior

Gelareh Mohammadi

Whenever we meet a person for the first time, we tend to attribute personality traits to him/her. The process takes place in less than a second and it is spontaneous and unconscious. While not necessarily accurate (attributed traits do not necessarily corr ...

EPFL2013

Medical Image Classification Using Generalized Zero Shot Learning

Seyedbehzad Bozorgtabar

In many real world medical image classification settings we do not have access to samples of all possible disease classes, while a robust system is expected to give high performance in recognizing novel test data. We propose a generalized zero shot learnin ...

IEEE COMPUTER SOC2021

Mining Large-Scale Smartphone Data for Personality Studies

Daniel Gatica-Perez

In this paper, we investigate the relationship between automatically extracted behavioral characteristics derived from rich smartphone data and self-reported Big-Five personality traits (Extraversion, Agreeableness, Conscientiousness, Emotional Stability a ...

2013

Hi YouTube! Personality Impressions and Verbal Content in Social Video

Daniel Gatica-Perez, Joan Isaac Biel Tres, John David Scott Dines

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

The YouTube Lens: Crowdsourced Personality Impressions and Audiovisual Analysis of Vlogs

Daniel Gatica-Perez, Joan Isaac Biel Tres

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

Design and User Perception Issues for Personality-Engaged Recommender Systems

Rong Hu

Recommender systems have emerged, as an intelligent information filtering tool, to help users effectively identify information items of interest from a set of overwhelming choices and provide personalized services. Most recommendation technologies typicall ...

EPFL2012

Robot Agreeableness and User Engagement in Verbal Human-Robot Interaction

Barbara Bruno

It is a well-established fact in the field of Human-Robot Interaction that the personality a social robot is endowed with (i.e., the one it expresses by its gestures and words) plays a key role towards the engagement experienced by any person interacting w ...

IEEE2020

Interactions between Personality, Depression, Anxiety and Cognition to Understand Early Stage of Alzheimer's Disease

Valérie Rita Madeleine Zufferey

The multifaceted nature of Alzheimer's disease (AD) and Mild cognitive impairment (MCI) can lead to wide inter-individual differences in disease manifestation in terms of brain pathology and cognition. The lack of understanding of phenotypic diversity in A ...

BENTHAM SCIENCE PUBL LTD2020