Estimating self-assessed personality from body movements and proximity in crowded mingling scenarios

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3 Citations (Scopus)

Abstract

This paper focuses on the automatic classification of self-assessed personality traits from the HEXACO inventory during crowded mingle scenarios. We exploit acceleration and proximity data from a wearable device hung around the neck. Unlike most state-of-the-art studies, addressing personality estimation during mingle scenarios provides a challenging social context as people interact dynamically and freely in a face-to-face setting. While many former studies use audio to extract speech-related features, we present a novel method of extracting an individual’s speaking status from a single body worn triaxial accelerometer which scales easily to large populations. Moreover, by fusing both speech and movement energy related cues from just acceleration, our experimental results show improvements on the estimation of Humility over features extracted from a single behavioral modality. We validated our method on 71 participants where we obtained an accuracy of 69% for Honesty, Conscientiousness and Openness to Experience. To our knowledge, this is the largest validation of personality estimation carried out in such a social context with simple wearable sensors.
Original languageEnglish
Title of host publicationProceeding ICMI 2016 The 18th ACM International Conference on Multimodal Interaction
EditorsY. Nakano, E. Andre, T. Nishida
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages238-242
Number of pages5
ISBN (Print)978-1-4503-4556-9
DOIs
Publication statusPublished - 2016
EventICMI 2016 The 18th ACM International Conference on Multimodal Interaction - Tokyo, Japan
Duration: 12 Nov 201616 Nov 2016

Conference

ConferenceICMI 2016 The 18th ACM International Conference on Multimodal Interaction
CountryJapan
CityTokyo
Period12/11/1616/11/16

Keywords

  • wearable acceleration
  • proximity
  • speaking turn
  • personality

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    Cabrera Quiros, L., Gedik, E., & Hung, H. (2016). Estimating self-assessed personality from body movements and proximity in crowded mingling scenarios. In Y. Nakano, E. Andre, & T. Nishida (Eds.), Proceeding ICMI 2016 The 18th ACM International Conference on Multimodal Interaction (pp. 238-242). Association for Computing Machinery (ACM). https://doi.org/10.1145/2993148.2993170