ISCA Archive IberSPEECH 2022
ISCA Archive IberSPEECH 2022

Measuring trust at zero-acquaintance using acted-emotional videos

Cristina Luna Jiménez, Syaheerah Lebai Lutfi, Manuel Gil-Martín, Ricardo Kleinlein, Juan M. Montero, Fernando Fernández-Martínez

Trustworthiness recognition attracts the attention of the research community due to its main role in social communications. However, few datasets are available and there are still many dimensions of trust to investigate. This paper presents a study of an annotation tool for creating of a trustworthiness corpus. Specifically, we asked the participants to rate shortemotional videos extracted from RAVDESS at zero acquaintance and studied the relationship between their trustworthiness score and other characteristics of the subjects of each video. Eloquence (ρ = 0.41), kindness (ρ = 0.32), attractiveness (ρ = 0.34), and authenticity of emotion transmitted (ρ = 0.6) are shown to be important determinants of perceived trustworthiness. In addition, we have measured a strong association between some of the variables under study. For example, physical beauty and voice pleasantness obtain a ρ = 0.71, or eloquence and expressiveness (ρ = 0.65), which opens a future line of investigation to study how people understand attractiveness and eloquence from these perspectives. Finally, an attribute selection strategy identified that frequency and spectral-related attributes could be accurate aural indicators of perceived trustworthiness.

doi: 10.21437/IberSPEECH.2022-42

Cite as: Jiménez, C.L., Lutfi, S.L., Gil-Martín, M., Kleinlein, R., Montero, J.M., Fernández-Martínez, F. (2022) Measuring trust at zero-acquaintance using acted-emotional videos . Proc. IberSPEECH 2022, 206-210, doi: 10.21437/IberSPEECH.2022-42

  author={Cristina Luna Jiménez and Syaheerah Lebai Lutfi and Manuel Gil-Martín and Ricardo Kleinlein and Juan M. Montero and Fernando Fernández-Martínez},
  title={{Measuring trust at zero-acquaintance using acted-emotional videos }},
  booktitle={Proc. IberSPEECH 2022},