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On the relationship between head pose, social attention and personality prediction for unstructured and dynamic group interactions

Authors:

Ramanathan Subramanian,

Jacopo Staiano,

Nicu SebeAuthors Info & Claims

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

Pages 3 - 10

https://doi.org/10.1145/2522848.2522862

Published: 09 December 2013 Publication History

Abstract

Correlates between social attention and personality traits have been widely acknowledged in social psychology studies. Head pose has commonly been employed as a proxy for determining the social attention direction in small group interactions. However, the impact of head pose estimation errors on personality estimates has not been studied to our knowledge.

In this work, we consider the unstructured and dynamic cocktail party scenario where the scene is captured by multiple, large field-of-view cameras. Head pose estimation is a challenging task under these conditions owing to the uninhibited motion of persons (due to which facial appearance varies owing to perspective and scale changes), and the low resolution of captured faces. Based on proxemic and social attention features computed from position and head pose annotations, we first demonstrate that social attention features are excellent predictors of the Extraversion and Neuroticism personality traits. We then repeat classification experiments with behavioral features computed from automated estimates-- obtained experimental results show that while prediction performance for both traits is affected by head pose estimation errors, the impact is more adverse for Extraversion.

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Cited By

Malik HDhillon HParameshwara RGoecke RSubramanian R(2023)Examining the Influence of Personality and Multimodal Behavior on Hireability ImpressionsProceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing10.1145/3627631.3627658(1-9)Online publication date: 15-Dec-2023
https://dl.acm.org/doi/10.1145/3627631.3627658
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
https://dl.acm.org/doi/10.1145/3626516
Madan SJain RSharma GSubramanian RDhall AEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group SettingsProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3612858(9526-9530)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3612858
Show More Cited By

Index Terms

On the relationship between head pose, social attention and personality prediction for unstructured and dynamic group interactions
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
    2. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
2. Human-centered computing
  1. Human computer interaction (HCI)

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Information & Contributors

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Published In

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.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Published: 09 December 2013

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ICMI '13

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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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Cited By

Malik HDhillon HParameshwara RGoecke RSubramanian R(2023)Examining the Influence of Personality and Multimodal Behavior on Hireability ImpressionsProceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing10.1145/3627631.3627658(1-9)Online publication date: 15-Dec-2023
https://dl.acm.org/doi/10.1145/3627631.3627658
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
https://dl.acm.org/doi/10.1145/3626516
Madan SJain RSharma GSubramanian RDhall AEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group SettingsProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3612858(9526-9530)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3612858
Jacques Junior JGucluturk YPerez MGuclu UAndujar CBaro XEscalante HGuyon Ivan Gerven Mvan Lier REscalera S(2022)First Impressions: A Survey on Vision-Based Apparent Personality Trait AnalysisIEEE Transactions on Affective Computing10.1109/TAFFC.2019.293005813:1(75-95)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TAFFC.2019.2930058
Tan STax DHung H(2021)Multimodal Joint Head Orientation Estimation in Interacting Groups via Proxemics and Interaction DynamicsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34481225:1(1-22)Online publication date: 30-Mar-2021
https://dl.acm.org/doi/10.1145/3448122
Romeo MHernández García DHan TCangelosi AJokinen K(2021)Predicting apparent personality from body language: benchmarking deep learning architectures for adaptive social human–robot interactionAdvanced Robotics10.1080/01691864.2021.1974941(1-13)Online publication date: 27-Oct-2021
https://doi.org/10.1080/01691864.2021.1974941
Ijuin KJokinen K(2020)Exploring Gaze Behaviour and Perceived Personality TraitsSocial Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis10.1007/978-3-030-49570-1_35(504-512)Online publication date: 19-Jul-2020
https://dl.acm.org/doi/10.1007/978-3-030-49570-1_35
Celiktutan OSkordos EGunes H(2019)Multimodal Human-Human-Robot Interactions (MHHRI) Dataset for Studying Personality and EngagementIEEE Transactions on Affective Computing10.1109/TAFFC.2017.273701910:4(484-497)Online publication date: 1-Oct-2019
https://doi.org/10.1109/TAFFC.2017.2737019
Sun WFan YMin XPeng SMa SZhai G(2019)LPHD: A Large-Scale Head Pose Dataset for RGB Images2019 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME.2019.00190(1084-1089)Online publication date: Jul-2019
https://doi.org/10.1109/ICME.2019.00190
Chen ZLiu ZHu HBai JLian SShi FWang K(2019)A Realistic Face-to-Face Conversation System Based on Deep Neural Networks2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)10.1109/ICCVW.2019.00315(2575-2583)Online publication date: Oct-2019
https://doi.org/10.1109/ICCVW.2019.00315
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