Personality Gaze Patterns Unveiled via Automatic Relevance Determination
| Autor: | Alessandro D’Amelio, Raffaella Lanzarotti, Vittorio Cuculo, Giuseppe Boccignone |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Eye movement
Computer science media_common.quotation_subject 02 engineering and technology Machine learning computer.software_genre 01 natural sciences Social interaction 010305 fluids & plasmas symbols.namesake Open research 0103 physical sciences Human behaviour 0202 electrical engineering electronic engineering information engineering Personality Big five Big Five personality traits Gaussian process Gaze media_common Probabilistic classification business.industry 020207 software engineering Gaussian Process Classification Kernel (image processing) Software deployment symbols Artificial intelligence business computer |
| Zdroj: | Software Technologies: Applications and Foundations ISBN: 9783030047702 STAF Workshops |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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