4:20 PM - 4:40 PM
[3O5-GS-13-03] Collecting Multimodal Data Corpus for Analyzing Counseling Skills
Keywords:Social Signal Processing, Multimodal Interaction
Recently, in the research of social signal processing, a method of modeling communicator skills by machine learning has been proposed.
We collected counseling data for analyzing and modeling the consultation techniques of professional advisors and created a multimodal data corpus.
This data corpus is composed of images, voices, utterances of counselors and client, and empathic label.
In this paper, we outline the corpus and report the results of the initial analysis.
Authentication for paper PDF access
A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.