Year: 2012
Type: conference-paper
Abstract: An interface based on expressions in simple graphics of faces were aligned in a clock-like distribution with the aim of allowing participants to quickly and easily rate emotions in music continuously. We developed the interface and tested it using six extracts of music, one targeting each of the six faces: `Excited (at 1 oclock), `Happy (3), `Calm (5), `Sad (7), `Scared (9) and `Angry (11). 30 participants rated the emotion expressed by these excerpts on our `emotion-face-clock. By demonstrating how continuous category selections (votes) changed over time, we were able to show that (1) more than one emotion-face could be expressed by music at the same time and (2) the emotion face that best portrayed the emotion the music conveyed could change over time, and that the change could be attributed to changes in musical structure.
Authors: Emery Schubert, Sam Ferguson, David Taylor, Gary E. McPherson
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Australian Research Council
OpenAlex ID: W2275330497