From Motion to Emotion : Accelerometer Data Predict Subjective Experience of Music

Music is often discussed to be emotional because it reflects expressive movements in audible form. Thus, a valid approach to measure musical emotion could be to assess movement stimulated by music. In two experiments we evaluated the discriminative power of mobile-device generated acceleration data produced by free movement during music listening for the prediction of ratings on the Geneva Emotion Music Scales (GEMS-9). The quality of prediction for different dimensions of GEMS varied between experiments for tenderness (R12(first experiment) = 0.50, R22(second experiment) = 0.39), nostalgia (R12 = 0.42, R22 = 0.30), wonder (R12 = 0.25, R22 = 0.34), sadness (R12 = 0.24, R22 = 0.35), peacefulness (R12 = 0.20, R22 = 0.35) and joy (R12 = 0.19, R22 = 0.33) and transcendence (R12 = 0.14, R22 = 0.00). For others like power (R12 = 0.42, R22 = 0.49) and tension (R12 = 0.28, R22 = 0.27) results could be almost reproduced. Furthermore, we extracted two principle components from GEMS ratings, one representing arousal and the other one valence of the experienced feeling. Both qualities, arousal and valence, could be predicted by acceleration data, indicating, that they provide information on the quantity and quality of experience. On the one hand, these findings show how music-evoked movement patterns relate to music-evoked feelings. On the other hand, they contribute to integrate findings from the field of embodied music cognition into music recommender systems

Reflection of decision making in the economy

В статье рассматриваются предпосылки формирования поведенческой экономики и определяются важнейшие факторы, лежащие в основе принятия решений экономическим субъектом. Предложена модель рефлексии принятия решений человеком, объясняющая выбор одной из альтернатив в условиях биполярности выбора и представляющая собой аналитический инструмент по определению возможности оказания внешнего информационного влияния на этот выбор.The article considers the prerequisites for the formation of behavioral economics and identifies critical factors underlying the decision-making by economic entities. A model of decision-making reflection is proposed, explaining the choice of one of the alternatives in a bipolar choice and representing an analytical tool to determine the feasibility of external information influence on such choice