Psicostat Seminar at the Department of Statistical Sciences (University of Bologna)

7th May 2019

Group picture

PSICOSTAT research group has been invited to present its activities in the field of Statistics applied to Psychology at the Department of Statistical Sciences in Bologna. Our undergraduates, doctoral students and post-docs presented their research to promote dissemination and exchange between the two disciplines.



claudio Bologna

Claudio Zandonella Callegher: Experts Elicitation

We present Expert Elicitation considering cognitive bias and main elicitation methods. Possible application in psychology are introduced ad discussed.

Want to know more? Contact Claudio at claudiozandonella@gmail.com





margherita Bologna

Margherita Andrao: The Relationship between Empathy and Action-Perception: a Neuroaesthetic fMRI Study on Contemporary Dance

The general purpose of the fMRI study presented was to observe which factors could modulate the neural correlates and behavioral responses of the aesthetic experience. Specifically, we hypothesized that the different levels of empathy in individuals could modulate the responses in the observation of dance movements with different kinematic and temporal features. We used videos, appositely created and validated by a behavioral pilot study (42 participants), which represented the complex whole-body movement of a professional contemporary dancer in a smooth (uniform speed and acceleration, lower motion energy) and a dynamic (greater speed and acceleration, and motion energy) version. In the main fMRI study (29 volunteers) participants were asked to evaluate how enjoyable it was to watch each video (likability) and how well they would have been able to reproduce it (feasibility). The Interpersonal Reactivity Index (IRI) and the Toronto Alexithymia Scale (TAS- 20) have been included in the experimental design to examine the extent of the differences in individual empathy scores when perceiving an action and how these empathy scores correlate with perceived likability and feasibility to dance actions.

Want to know more? Contact Margherita at margherita@andrao.com



enrico Bologna

Enrico Toffalini: Intra-individual variability across the day: circadian variations of performance in children with specific learning disorders.

Intra-individual variability is ubiquitous in our psychological functioning. Nonetheless, it has hitherto been surprisingly understudied. Circadian rhythms, a major source of this variability, impact our physiological and mental functioning, causing daily cycles of optimal and non-optimal times for cognitive testing. The proposed project aims to investigate circadian variations, in combination with cognitive chronotype, in the reading and cognitive performance of children with specific learning disorder (e.g., dyslexia). The idea is to provide both research and clinical assessment with tools to better understand and quantify variations in cognitive functioning from the point of view of individual differences.

Want to know more? Contact Enrico at enrico.toffalini@yahoo.it or at enrico.toffalini@unipd.it



luca Bologna

Luca Menghini: Intensive Longitudinal Assessment of Work Stress









niccolo Bologna

Niccolò Polo: Text mining and gambling TV spots

Gambling tv spots are a relative new field where Psychology can look at in order to understand how gambling suppliers tempt consumers to approach a risky behaviour. Text mining and Natural Language Processing tecniques are useful tools to investigate gambling marketing language. The research focus its attention on three different categories of tv spots: sport betting, casino's type games and bingo/scratch cards. Text mining tools are used to explore and compare this three categories, and then exctract latent informations inside tv spot texts.

Want to know more? Contact Niccolò at niccolo.polo.1@studenti.unipd.it



alberto Bologna

Alberto Arletti: Separating High and Low quality Neuroimaging data

In my Thesis I am engineering the best method to separate fNIRS data that contains information about brain activity from that signal which only contains noise. IMethods include k-means clustering, support vector machine, gaussian estimation.

Want to know more? Contact Alberto at alberto.arletti@studenti.unipd.it





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