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Our research seeks to model the effect of music on the perceived emotional content of film media. We used participants’ ratings of the emotional content of film-alone, music-alone, and film-music pairings for a collection of emotionally neutral film clips and emotionally provocative music segments. Mapping the results onto a three-dimensional emotion space, we observed a strong relationship between the ratings of the film- and music-alone clips, and those of the film-music pairs. Previously, we modeled the ratings in each dimension independently. We now develop models, using stepwise regression, to describe the film-music ratings using quadratic terms, and based on all dimensions simultaneously. We demonstrate that while linear-terms are sufficient for single emotion dimension models, regression models that consider multiple emotion dimensions yield better results.
Author (s): Parke, Rob;
Chew, Elaine;
Kyriakakis, Chris;
Affiliation:
University of Southern California
(See document for exact affiliation information.)
AES Convention: 123
Paper Number:7173
Publication Date:
2007-10-06
Session subject:
Perception
DOI:
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Parke, Rob; Chew, Elaine; Kyriakakis, Chris; 2007; Multiple Regression Modeling of the Emotional Content of Film and Music [PDF]; University of Southern California; Paper 7173; Available from: https://aes.org/publications/elibrary-page/?id=14231
Parke, Rob; Chew, Elaine; Kyriakakis, Chris; Multiple Regression Modeling of the Emotional Content of Film and Music [PDF]; University of Southern California; Paper 7173; 2007 Available: https://aes.org/publications/elibrary-page/?id=14231
@inproceedings{Parke2007multiple,
title={{Multiple Regression Modeling of the Emotional Content of Film and Music}},
author={Parke, Rob and Chew, Elaine and Kyriakakis, Chris},
year={2007},
month={oct},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 7173; AES Convention 123; October 2007},
number={7173},
organization={AES},
}
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