poster

One of a kind: inferring personality impressions in meetings

Authors:

Daniel Gatica-PerezAuthors Info & Claims

ICMI '13: Proceedings of the 15th ACM on International conference on multimodal interaction

Pages 11 - 18

https://doi.org/10.1145/2522848.2522859

Published: 09 December 2013 Publication History

Abstract

We present an analysis on personality prediction in small groups based on trait attributes from external observers. We use a rich set of automatically extracted audio-visual nonverbal features, including speaking turn, prosodic, visual activity, and visual focus of attention features. We also investigate whether the thin sliced impressions of external observers generalize to the whole meeting in the personality prediction task. Using ridge regression, we have analyzed both the regression and classification performance of personality prediction. Our experiments show that the extraversion trait can be predicted with high accuracy in a binary classification task and visual activity features give higher accuracies than audio ones. The highest accuracy for the extraversion trait, is 75\%, obtained with a combination of audio-visual features. Openness to experience trait also has a significant accuracy, only when the whole meeting is used as the unit of processing.

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Ito ANakano YNihei FSakato TIshii RFukayama ANakamura T(2023)Estimating and Visualizing Persuasiveness of Participants in Group DiscussionsJournal of Information Processing10.2197/ipsjjip.31.3431(34-44)Online publication date: 2023
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One of a kind: inferring personality impressions in meetings

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cover image ACM Conferences

ICMI '13: Proceedings of the 15th ACM on International conference on multimodal interaction

December 2013

630 pages

ISBN:9781450321297

DOI:10.1145/2522848

General Chairs:
Julien Epps
The University of New South Wales, Australia
,
Fang Chen
National ICT Australia, Australia
,
Sharon Oviatt
Incaa Designs, USA
,
Kenji Mase
Nagoya University, Japan
,
Program Chairs:
Andrew Sears
Rochester Institute of Technology, USA
,
Kristiina Jokinen
University of Helsinki, Finland
,
Björn Schuller
Technische Universität München, Germany

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 09 December 2013

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ICMI '13: 2013 International Conference on Multimodal Interaction

December 9 - 13, 2013

Sydney, Australia

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ICMI '13 Paper Acceptance Rate 49 of 133 submissions, 37%;

Overall Acceptance Rate 453 of 1,080 submissions, 42%

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https://doi.org/10.1007/978-3-031-61305-0_5
Ito ANakano YNihei FSakato TIshii RFukayama ANakamura T(2023)Estimating and Visualizing Persuasiveness of Participants in Group DiscussionsJournal of Information Processing10.2197/ipsjjip.31.3431(34-44)Online publication date: 2023
https://doi.org/10.2197/ipsjjip.31.34
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https://doi.org/10.17929/tqs.9.53
Beyan CVinciarelli ABue A(2023)Co-Located Human–Human Interaction Analysis Using Nonverbal Cues: A SurveyACM Computing Surveys10.1145/362651656:5(1-41)Online publication date: 25-Nov-2023
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Mawalim COkada SNakano YUnoki M(2023)Personality trait estimation in group discussions using multimodal analysis and speaker embeddingJournal on Multimodal User Interfaces10.1007/s12193-023-00401-017:2(47-63)Online publication date: 8-Feb-2023
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