Multidisciplinary characterization of embarrassment through behavioral and acoustic modeling.

ABSTRACT: Embarrassment is a social emotion that shares many characteristics with social anxiety (SA). Most people experience embarrassment in their daily lives, but it is quite overlooked in research. We characterized embarrassment through an interdisciplinary approach, introducing a behavioral paradigm and applying machine learning approaches, including acoustic analyses. 33 participants wrote about an embarrassing experience and then, without knowing it prior, had to read it out loud to the conductor. Embarrassment was then examined using two different approaches: Firstly, from a subjective view, with self-report measures from the participants. Secondly, from an objective, machine-learning approach, in which trained models tested the robustness of our embarrassment data set (i.e., prediction accu

SUBMITTER: Sipka D 

PROVIDER: S-EPMC11926074 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature