Multiple Regression Modeling of the Emotional Content of Film and Music

Parke R, Chew E, Kyriakakis C. Multiple Regression Modeling of the Emotional Content of Film and Music. In: AES Convention 123. Audio Engineering Society; 2007. Paper 7173. Available from: https://aes.org/publications/elibrary-page/?id=14231

@inproceedings{Parke2007_14231,
  author = {Parke, Rob and Chew, Elaine and Kyriakakis, Chris},
  title = {{Multiple Regression Modeling of the Emotional Content of Film and Music}},
  booktitle = {AES Convention 123},
  note = {Paper 7173},
  year = {2007},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14231}
}

TY  - CPAPER
TI  - Multiple Regression Modeling of the Emotional Content of Film and Music
AU  - Parke, Rob
AU  - Chew, Elaine
AU  - Kyriakakis, Chris
T2  - AES Convention 123
M1  - Paper 7173
PY  - 2007
DA  - 2007/10/06
UR  - https://aes.org/publications/elibrary-page/?id=14231
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -