Search results for "emotion tracking"
showing 2 items of 2 documents
Emotion Tracking
2020
Previous literature has examined the significance of emotional consumer experiences increasingly pursued by consumers. However, the current knowledge of emotional responses in real-time and real-world consumption settings is still limited. Emotions have previously been measured with observation, self-report, and physiological methods. Digitalization and technological development have, however, advanced these methods as individuals now engage in various self-tracking practices. The chapter introduces emotion tracking as an additional means for measuring emotions. One application, the Emotion Tracker®, was tested by students (n=19) who tracked their emotions (n=617) related to various consume…
Absolute of Relative? A New Approach to Building Feature Vectors For Emotion Tracking In Music
2013
It is believed that violation of or conformity to expectancy when listening to music is one of the main sources of musical emotion. To address this, we test a new way of building feature vectors and representing features within the vector for the machine learning approach to continuous emotion tracking systems. Instead of looking at the absolute values for specific features, we concentrate on the average value of that feature across the whole song and the difference between that and the absolute value for a particular sample. To test this “relative” representation, we used a corpus of popular music with continuous labels on the arousalvalence space. The model consists of a Support Vector Re…