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Sibelli, Filomena
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Sibelli, Filomena
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- PublicationRestrictedHow Traders' Appearances and Moral Descriptions Influence Receivers' Choices in the Ultimatum GameThis work reports on a series of experiments involving 960 participants (aged between 20-30 years and equally balanced by gender), asked to play the receiver role in a modified version of the Ultimatum Game, where together with information on the offer's fairness (e.g. 40 (fair) vs 10 (unfair) of 100 euros), a photo depicted the trader's appearance (trustworthy vs. untrustworthy) and a text provided his moral description (honest vs. dishonest). Receivers were asked to motivate their decision in connection with the appearance, moral judgment, and fairness of the offer, and report on how these variables affected their emotional feelings. Data analysis shows that, in all conditions containing a fair offer, the trader's appearance plays a significant role in the receivers' decisions in terms of acceptance rate. Moral descriptions play a significant role only in conditions containing an unfair offer. However, when asked to motivate their choices, subjects do not feel the interference of the social appearance, rather they provide more or less equal number of motivations with reference to the amount of offers and moral judgments. As for the emotions driving their decisions, non-converging feelings are observed both at intra and inter group level. © 2017 IEEE.
58 2 - PublicationRestrictedAutomatic Detection of Depressive States from SpeechThis paper investigates the acoustical and perceptual speech features that differentiate a depressed individual from a healthy one. The speech data gathered was a collection from both healthy and depressed subjects in the Italian language, each comprising of a read and spontaneous narrative. The pre-processing of this dataset was done using Mel Frequency Cepstral Coefficient (MFCC). The speech samples were further processed using Principal Component Analysis (PCA) for correlation and dimensionality reduction. It was found that both groups differed with respect to the extracted speech features. To distinguish the depressed group from the healthy one on the basis the proposed speech processing algorithm the Self Organizing Map (SOM) algorithm was used. The clustering accuracy given by SOM’s was 80.67%.
68 5 - PublicationRestrictedDifferences between hearing and deaf subjects in decoding foreign emotional facesThis work investigates the ability of deaf subjects to correctly label foreign emotional faces of happiness, sadness, surprise, anger, fear, and disgust, in comparison with typically hearing ones. The experiment involved 14 deaf (signing) and 14 hearing subjects matched by age and gender. The emotional faces were selected from the Radboud Database. The results show significant difference between the two groups, with deaf performing significantly poorly in the decoding accuracy and intensity ratings of disgust, surprise, and anger. Considerations are made on the effects of the social and cultural context to leverage the universality of emotional facial expressions.
78 4 - PublicationOpen AccessAge and Culture Effects on the Ability to Decode Affect BurstsThis paper investigates the ability of adolescents (aged 13–15 years) and young adults (aged 20–26 years) to decode affective bursts culturally situated in a different context (Francophone vs. South Italian). The effects of context show that Italian subjects perform poorly with respect to the Francophone ones revealing a significant native speaker advantage in decoding the selected affective bursts. In addition, adolescents perform better than young adults, particularly in the decoding and intensity ratings of affective bursts of happiness, pain, and pleasure suggesting an effect of age related to language expertise.
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