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Ziya Erkoç, Serkan Demirci, Sinan Sonlu, and Uğur Güdükbay. Skeleton-based Personality Recognition using Laban Movement Analysis. In Cristina Palmero, Julio C. S. Jacques Junior, Albert Clapés, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, and Sergio Escalera, editors, Understanding Social Behavior in Dyadic and Small Group Interactions, Proceedings of Machine Learning Research, pp. 74–87, PMLR, 16 October 2022.
Personality is expressed through multiple behavioral elements, including body movement. Using a feature transformation based on Laban Movement Analysis, we present a model for estimating individuals' Big Five personality traits. Our approach achieves higher performance than other methods without exposing image-level information to the network, which otherwise can leave the system susceptible to bias and result in ethical issues. With the ever-increasing role of computers in our daily lives, human-computer interaction and human understanding have become significant. Our system enables better human understanding for intelligent agents and personal assistants through personality estimation. We utilize Graph Convolutional Networks, commonly used for action recognition for this task.
@InCollection{ErkocEtAl22,
title = {{Skeleton-based Personality Recognition using Laban Movement Analysis}},
author = {Ziya Erko{\c c} and Serkan Demirci and Sinan Sonlu and U{\^g}ur G{\"u}d{\"u}kbay},
booktitle = {Understanding Social Behavior in Dyadic and Small Group Interactions},
pages = {74--87},
year = {2022},
editor = {Palmero, Cristina and Jacques Junior, Julio C. S. and Clap{\'e}s, Albert and
Guyon, Isabelle and Tu, Wei-Wei and Moeslund, Thomas B. and Escalera, Sergio},
volume = {173},
series = {Proceedings of Machine Learning Research},
month = {16 October},
publisher = {PMLR},
bib2html_dl_pdf = "http://www.cs.bilkent.edu.tr/~gudukbay/publications/papers/conf_papers/Erkoc_Et_Al_PMLR_2022.pdf",
bib2html_pubtype = {Refereed Conference Papers},
bib2html_rescat = {Computer Graphics},
pdf = {https://proceedings.mlr.press/v173/erkoc22a/erkoc22a.pdf},
url = {https://proceedings.mlr.press/v173/erkoc22a.html},
abstract = {Personality is expressed through multiple behavioral elements, including body movement.
Using a feature transformation based on Laban Movement Analysis, we present a model for estimating
individuals' Big Five personality traits. Our approach achieves higher performance than other methods
without exposing image-level information to the network, which otherwise can leave the system susceptible
to bias and result in ethical issues. With the ever-increasing role of computers in our daily lives,
human-computer interaction and human understanding have become significant. Our system enables better
human understanding for intelligent agents and personal assistants through personality estimation.
We utilize Graph Convolutional Networks, commonly used for action recognition for this task.}
}
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