Understanding human gaze behaviour in social context, as along a face-to-face interaction, remains an open research issue which is strictly related to personality traits. In the effort to bridge the gap between available data and models, typical approaches focus on the analysis of spatial and temporal preferences of gaze deployment over specific regions of the observed face, while adopting classic statistical methods. In this note we propose a different analysis perspective based on novel data-mining techniques and a probabilistic classification method that relies on Gaussian Processes exploiting Automatic Relevance Determination (ARD) kernel. Preliminary results obtained on a publicly available dataset are provided.

Personality Gaze Patterns Unveiled via Automatic Relevance Determination / V. Cuculo, A. D'Amelio, R. Lanzarotti, G. Boccignone (LECTURE NOTES IN COMPUTER SCIENCE). - In: Software Technologies: Applications and Foundations / [a cura di] M. Mazzara, I. Ober, G. Salaün. - [s.l] : Springer, 2018. - ISBN 9783030047702. - pp. 171-184 (( convegno STAF tenutosi a Toulouse nel 2018 [10.1007/978-3-030-04771-9_14].

Personality Gaze Patterns Unveiled via Automatic Relevance Determination

V. Cuculo;A. D'Amelio;R. Lanzarotti;G. Boccignone
2018

Abstract

Understanding human gaze behaviour in social context, as along a face-to-face interaction, remains an open research issue which is strictly related to personality traits. In the effort to bridge the gap between available data and models, typical approaches focus on the analysis of spatial and temporal preferences of gaze deployment over specific regions of the observed face, while adopting classic statistical methods. In this note we propose a different analysis perspective based on novel data-mining techniques and a probabilistic classification method that relies on Gaussian Processes exploiting Automatic Relevance Determination (ARD) kernel. Preliminary results obtained on a publicly available dataset are provided.
Eye movement; Gaze; Social interaction; Human behaviour; Gaussian Process; Classification; Personality; Big five
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Book Part (author)
File in questo prodotto:
File Dimensione Formato  
samplepaper.pdf

accesso riservato

Tipologia: Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione 1.37 MB
Formato Adobe PDF
1.37 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/613250
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? ND
social impact