Paper predicts personality from dyadic role-play scenarios

Arxiv CS.SD (Sound/Audio ML)

Study uses audio and text features from dyadic role-plays to predict perceived personality dimensions across situations. Aims to enable assistive technologies that adapt to user personality preferences.

Affective computingMultimodal

Arxiv CS.SD (Sound/Audio ML)·Alice ZhangSkanda MuralidharDaniel Gatica-PerezMathew Magimai-Doss

Jun 10, 4:00 AM