Presentation information

Organized Session

Organized Session » OS-19

[4E2-OS-19a] OS-19 (1)

Fri. Jun 12, 2020 12:00 PM - 1:40 PM Room E (jsai2020online-5)

湯浅 将英(湘南工科大学)、岡田 将吾(北陸先端科学技術大学院大学)、酒井 元気(東京電機大学)、酒造 正樹(東京電機大学)

12:00 PM - 12:20 PM

[4E2-OS-19a-01] Analysis of effective features for estimating group performance using multimodal information

〇Sotaro Toya1, Go Miura1, Shogo Okada1 (1. Japan Advanced Institute of Science and Technology)

Keywords:Social signal processing, Multimodal interaction

This paper focuses on developing a model for estimating the quality of discussion using multimodal features and investigating when the key multimodal features which contribute to estimate the quality is observed while the discussion. For this purpose, we use a group meeting corpus including audio signal data of participants observed in 30 meeting sessions. Also, four annotators watch conversation transcripts and annotate the score about quality of discussion using product dimension which is a sociological criteria. We extracted various kinds of features such as vocabulary,topic and dialogact. Regression models are trained to infer the annotated score from these features using linear support vector regression.

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.