@techreport{oai:ipsj.ixsq.nii.ac.jp:00214597,
 author = {Hannah, R. Nolasco and Andrew, W. Vargo and Koichi, Kise and Hannah, R. Nolasco and Andrew, W. Vargo and Koichi, Kise},
 issue = {19},
 month = {Jan},
 note = {In this report, we present a computer-mediated mood self-tracking application with a built-in interactive music creation feature called TENOR. Users capture and classify their emotional state through the creative process of generating a song on a simple grid-type interface. The act of cascading their emotions into a subjective and non-invasive format is meant to cultivate a greater self-awareness that may in turn assist in improved emotion regulation. Existing mood tracking tools fall short in providing users with classification methods that move beyond the restrictiveness of labels; TENOR has the goal of subverting this by empowering the user with the ability to define their emotions on their own terms, which in turn encourages them to reappraise their feelings without shame., In this report, we present a computer-mediated mood self-tracking application with a built-in interactive music creation feature called TENOR. Users capture and classify their emotional state through the creative process of generating a song on a simple grid-type interface. The act of cascading their emotions into a subjective and non-invasive format is meant to cultivate a greater self-awareness that may in turn assist in improved emotion regulation. Existing mood tracking tools fall short in providing users with classification methods that move beyond the restrictiveness of labels; TENOR has the goal of subverting this by empowering the user with the ability to define their emotions on their own terms, which in turn encourages them to reappraise their feelings without shame.},
 title = {Acoustic-Based Mood Tracking as a Means of Emotion Regulation},
 year = {2022}
}