Cristina Luna Jimenez (Spain)

Christina Luna Jimenez delved into the intricate concept of trustworthiness during her research attachment. The focus was on annotating emotional videos at zero acquaintance in a cross-cultural context, with the intention of translating these annotations into a machine-readable format using machine learning tools.

Christina, alongside researchers from Spain, Malaysia, and Hungary, gathered annotations from diverse cultural backgrounds. However, the final experiments exclusively utilized annotations from Malaysian and Hungarian contributors. The findings revealed that perceived characteristics such as eloquence, attractiveness, and authenticity significantly influenced trustworthiness annotations, displaying high correlation values. Notably, these influences varied across cultures; for instance, kindness played a more crucial role for Hungarians than for Malaysians in determining trustworthiness.

In future endeavors, Christina’s research aims to broaden its scope by incorporating additional cultures, examining both the perspectives represented in the videos and those of the annotators. This expansion seeks to provide a more comprehensive understanding of the cultural nuances influencing trustworthiness perceptions.