Presentation information

General Session

General Session » J-13 AI application

[3O5-GS-13] AI application: Emotions and AI

Thu. Jun 11, 2020 3:40 PM - 5:20 PM Room O (jsai2020online-15)


4:20 PM - 4:40 PM

[3O5-GS-13-03] Collecting Multimodal Data Corpus for Analyzing Counseling Skills

〇Yasushi Amari1, Shogo Okada1, Maiko Matsumoto2, Kugatsu Sadamitsu2, Atsushi Nakamoto2 (1. Japan Advanced Institute of Science and Technology, 2. Future Corporation)

Keywords:Social Signal Processing, Multimodal Interaction

Social signal processing is a research field to to calculate and understand the social aspects that humans form through communication and behavior using multimodal information observed from communicators.
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.

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