  Several studies have been reported in the literature for the automatic
detection of mental disorders. It is reported that mental disorders are highly
correlated. The exploration of this fact for the automatic detection of mental
disorders is yet to explore. Emotion regulation difficulties (ERD) characterize
several mental disorders. Motivated by that, we investigated the use of ERD for
the detection of two opted mental disorders in this study. For this, we have
collected audio-video data of human subjects while conversing with a computer
agent based on a specific questionnaire. Subsequently, a subject's responses
are collected to obtain the ground truths of the audio-video data of that
subject. The results indicate that the ERD can be used as an intermediate
representation of audio-video data for detecting mental disorders.
