Workshop on Multimodal Affect and Aesthetic Experience
Authors: 
Michal Muszynski, Edgar Roman-Rangel, Leimin Tian, Theodoros Kostoulas, Theodora Chaspari, Panos AmelidisAuthors Info & Claims
Michal Muszynski, Edgar Roman-Rangel, Leimin Tian, Theodoros Kostoulas, Theodora Chaspari, Panos AmelidisAuthors Info & ClaimsPages 868 - 869
Abstract
The term “aesthetic experience” corresponds to inner states of individuals exposed to art. Investigating form, content, and aesthetic values of artistic objects, indoor and outdoor spaces, urban areas, and modern interactive technology is essential to improve social behaviour, quality of life, and health of humans in the long term. Quantifying and interpreting the aesthetic experience of art receivers in different contexts can contribute towards (a) creating art and (b) better understanding humans’ affective reactions to aesthetic stimuli. Focusing on different types of artistic content, such as movies, music, urban art, ancient artwork, and modern interactive technology, the goal of the Second International Workshop on Multimodal Affect and Aesthetic Experience is to enhance the interdisciplinary collaboration among researchers from the following domains: affective computing, aesthetics, human-robot interaction, and digital archaeology and art.
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Michal Muszynski, Theodoros Kostoulas, Guillaume Chanel, Patrizia Lombardo, and Thierry Pun. 2015. Spectators’ synchronization detection based on manifold representation of physiological signals: Application to movie highlights detection., 235–238 pages.
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Michal Muszynski, Theodoros Kostoulas, Patrizia Lombardo, Thierry Pun, and Guillaume Chanel. 2018. Aesthetic highlight detection in movies based on synchronization of spectators’ reactions.
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Michal Muszynski, Leimin Tian, Catherine Lai, Johanna Moore, Theodoros Kostoulas, Patrizia Lombardo, Thierry Pun, and Guillaume Chanel. 2019. Recognizing induced emotions of movie audiences from multimodal information.
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Edgar Roman-Rangel, Gulcan Can, Stephane Marchand-Maillet, Rui Hu, Carlos Pallan Gayol, Guido Krempel, Jakub Spotak, Jean-Marc Odobez, and Daniel Gatica-Perez. 2016. Transferring neural representations for low-dimensional indexing of Maya hieroglyphic art., 842–855 pages.
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Priscila Sánchez Santana and Edgar Roman-Rangel. 2021. Quantifying Visual Similarity for Artistic Styles., 187–197 pages.
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Leimin Tian, Michal Muszynski, Catherine Lai, Johanna D Moore, Theodoros Kostoulas, Patrizia Lombardo, Thierry Pun, and Guillaume Chanel. 2017. Recognizing induced emotions of movie audiences: Are induced and perceived emotions the same?, 28–35 pages.
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Published In
October 2021
876 pages
ISBN:9781450384810
DOI:10.1145/3462244
Copyright © 2021 Owner/Author.
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
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Published: 18 October 2021
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ICMI '21
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ICMI '21: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
October 18 - 22, 2021
QC, Montréal, Canada
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